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4/28

Global Data - Entity Specialist

Princeton, NJ Details

Full Time

*** runs on data and technology. In our Global Data department, we are responsible for on-boarding, analyzing, applying, and supplying it so our clients can make informed decisions from a global perspective.

The Entities team is responsible for providing legal entity master data for over 5 million public and private companies. Our data sets include corporate structure, sanction data, descriptive data, identification (LEI), and classification (BICS). Our information lives on the terminal and is available for purchase through our Enterprise Data business. As a part of the team, you will work closely with Sales and Product groups, Data Analysts and Software Engineers to collect, validate and maintain our data sets.

What's the role?

The specialist will be responsible for adding and maintaining records in the entity database and proactively monitoring the evolving regulatory environment. This includes the LEI (Legal Entity Identifier), sanctions, company structure and risk. The analyst will interact with clients, Data License, internal Help Desk, and other data teams globally.

They will also:

Perform entity risk assessment
Create, implement and test internal controls
Train internal stakeholders
Research corporate hierarchy documentation
Respond to client queries regarding the data and product functionality
Process escalation requests to resolve data discrepancies
Assist sales on client calls
Examine processes and providing improvement recommendations

You will need to have:

BA/BS in Business, Finance, Economics, Law or equivalent work experience
Ability to multi-task and work independently as well as collaboratively within a team environment
Excellent Communication, Analytical and Customer Ser *** skills
Ability to interact with clients within the financial industry
Commitment to enhancing and developing products
Experience with Python, SQL or Java
Secondary language a plus

Does this sound like you?

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.

*** is committed to diversity. It drives our innovation. At *** , you'll have the opportunity to go above and beyond and to take risks. You'll be a part of an organization that is entering new markets, launching new ventures, and pushing boundaries. Our ever-expanding array of technology, data, news, and *** services champions innovation and empowers clients -- and offers nearly limitless opportunities for career growth.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We bring out the best in each other

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

4/14

Senior Fullstack Developer - Consumer Media

Princeton, NJ Details

Full Time

Our team

*** *** empowers global business leaders with breaking news, expert opinion and proprietary data distributed on every platform, across every time zone reaching over 80 million unique visitors a month through its digital properties. Our products require top-notch data tools to deliver and continuously improve the content and experiences we offer our users.
*** Data Tools is responsible for the internal data tools and libraries that drive A/B testing & targeting on *** .com. These provide abstractions for managing the complex concerns of user targeting & test bucketing, config deployment, and measurement. The system is used by developers, product managers, and marketers who together run several dozen tests at any given time. The team is also responsible for *** *** 's das *** arding and customer data platforms which empower marketers and data scientists to leverage the power of our data lake. By providing thoughtful abstractions and tools, we unlock the power of the company's data for our technically diverse users and improve the business through a test-and-learn approach.

What's in it for you?

As part of our team, you will work with a wide range of partners such as: Product, Analytics, Marketing, and other engineering teams. You will maintain and expand the features of data tools and services that use Kubernetes and Apache Airflow to provide power and structure for the business's data needs. Our diverse user base needs our tools to access and leverage the company's data. With the help of Google Cloud technologies like BigQuery, you'll empower them with the software they need to improve the business through data-driven decision making.
Additionally, as the owner of applications which serve as the face of *** 's data capabilities, you will play a central role in growing the impact of data within the company. By working closely with your users you will develop a keen sense of their needs and challenges, and we'll trust you to help set the direction and priorities of the team.

We'll trust you to:

Partner with internal stakeholders to design thoughtful UX that delivers for their data needs while abstracting inherent dataset complexity
Liaison with business partners and technical stakeholders like data scientists and engineers to drive strategy from the bottom-up
Manage and expand DR-compliant software architectures, adhering to strict requirements concerning performance, stability, and availability
Build applications that meet the performance and stability requirements that come with web-scale traffic
Grow your domain expertise to find growth opportunities and to expand our team's impact.
You need to have:
Experience with full-stack web development
Experience with modern programming languages like Javascript(ES6+), Python, or Ruby
Experience with front end frameworks like React.js, Vue.js, etc
Experience with RDBMS's like MySQL, PostgreSQL, etc
BA, BS, MS, or PhD in Computer Science, Engineering or related technology field
We'd love to see:
Experience developing single-page web apps
Experience designing and implementing internal tools
Experience with ORM frameworks like ActiveRecord, Sequelize, etc
High level SQL skills and data analytics experience
Experience with data engineering concepts like extract, transform, and load (ETL) jobs

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

3/24

Business Analyst

Princeton, NJ Details

Full Time

At *** , our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Global Data, we're responsible for delivering this data, news and analytics through innovative technology - quickly and accurately.
More than 320,000 business leaders rely on the real time data available on the *** Professional Service. Across 88 data sets, our Analysts are responsible for distilling intelligence and industry-specific insights for our clients - i *** uencing investment decisions and moving markets daily. None of this would be possible without maintaining the highest standard of operational excellence and efficiency.

Our Process Engineering team looks to identify and execute opportunities for increased efficiency across our data sets and analyst teams. We support our Analysts by promoting transparency into daily workflows. We support our business by upholding a standardized method of storing data in our enterprise reporting platform. As a team, our goal is to provide this information accurately, comprehensively, and as frequently as possible for each dimension of Global Data's operations - productivity, timeliness, quality, and coverage. Together, we closely partner with other teams in Global Data to conduct process analysis and re-engineering when necessary, as well as establish and promote best practices across the organization.

Equipped with this data and the capabilities of the business unit's enterprise reporting platform, you will seek to increase productivity by applying technology or leveraging alternative resource models. You will decrease time-to-market by highlighting latency, improve quality by finding patterns and trends when issues arise with precision and recall, and conduct ad hoc analysis requested by management across the firm.

As a valued member of our team, we'll trust you to:

Work with leaders and teams across the department to learn their about their business, understand the main challenges they face, and identify the strategic opportunities
Establish a center of excellence for operational analysis, and strive for continuous improvement in Global Data workflows
Design, develop, and deploy solutions that impact workflow processes, procurement and relationship management, data capture, and quality control management, by leveraging proprietary software like GIGWork, EHUB and JIRA
Actively conduct process analysis and process engineering across business-lines
Ensure accuracy of all default analytics and ad hoc analysis created via our enterprise reporting platform by providing necessary data governance and maintaining integrity of underlying information
Foster a culture that turns to data for decision making across the organization
Closely partner with other leaders in Technical Operations and throughout Global Data to establish priorities for our Technology and Analytics capabilities

You'll need to have:

A Bachelor's degree or equivalent experience in Data-related or Operations discipline
Demonstrated experience conducting process analysis and implementing solutions for efficiency
Experience with reporting and maintaining accurate and timely records (operations preferred)
Proficiency conducting analysis with Qlik business intelligence tools
Ability to be a catalyst for change, and motivated to rise to the occasion
Willingness to learn technology for analyzing big data (appetite and aptitude)
Passion for our dynamic, entrepreneurial environment
Relationship building skills, and ability to collaborate with multidisciplinary partners at various levels
Legal authorization to work full-time in the United States and will not require visa sponsorship now or in the future

Successful applicants will likely possess:

An advanced degree in Business, Finance or Technology
Familiarity with outsourcing and vendor management
Proficiency with SQL and Python
Familiarity with ETL processes

Does this sound like you?

Apply! We'll get in touch and let you know the next steps.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

3/20

Data Engineer - Business Intelligence

Princeton, NJ Details

Full Time

Apply your coding skills: automate the i *** ux of data and develop effective analytics to drive successful product adoption
Inspire and impact our business: act as an internal consultant to i *** uence and implement more efficient products through analysis, das *** ards, web apps, and user documentation
Develop your career: sharpen your technical skills and strengthen relationships through project management, partnering with stakeholders across the firm, and establishing scalable architecture
Champion improvements: identify strategic technical gaps in our ecosystem and advocate for solutions over workarounds
Grow our business: Approach each day knowing this role is mission-critical to the success of the firm. We will rely on your expertise, and our flat structure allows for you to make real impact, real quick

You'll need to have:

A BA/BS degree or higher in Computer Science, Mathematics, or relevant data technology field, or equivalent professional work experience in software development, data engineering, data science or information technology
2+ years of Business Intelligence consulting
2+ years of experience working with restful APIs and data modeling within SQL and NoSQL databases
Deep understanding of large-scale, distributed systems
Legal authorization to work full-time in the United States without requiring visa sponsorship

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

3/17

Senior Seniore - Consumer Media

Princeton, NJ Details

Full Time

Our Team:

*** *** empowers global business leaders with breaking news, expert opinion and proprietary data distributed on every platform, across every time zone reaching over 80 million unique visitors a month through its digital properties. Our applications are sophisticated and built using the latest technologies and require modern scalable infrastructure with a high degree of automation to run efficiently. *** Infrastructure is the team responsible for orchestrating and automating our infrastructure and operational workflows to allow us to scale our business. The team is the center of excellence for all things infrastructure within *** *** , and we collaborate closely with application development teams within *** and other infrastructure teams across ***

What's in it for you:

You will work closely with application development teams to understand the architecture of their applications and build automation to run these applications efficiently. You will have the opportunity to develop best practices, tools and processes to fundamentally change how we manage our infrastructure. We are in a hybrid cloud environment where applications run on either the public cloud or our internal cloud. You will work with application teams to migrate more applications to the public cloud and build abstractions to allow us to seamlessly run these in a multi-cloud environment. You will also build and manage mission-critical infrastructure common to multiple application teams and be able to put your entrepreneurial hat on to find new ways to abstract out infrastructure to allow application teams to focus on application development.

We'll trust you to:

? Develop on and expand our internal PaaS product used to manage and deploy dozens of applications and clusters. Engage with your customers (application teams) to understand automate developer workflows.
? Build tools and processes to automate operational tasks allowing us to manage more applications with less effort.
? Work with your customers to help them migrate applications to the public cloud. Build abstractions that allow us to migrate and run these in a multi-cloud environment seamlessly.
? Own core infrastructure such as Kubernetes clusters, HAProxy farms, Redis clusters and more which are used by multiple application teams. Automate day two operations as much as possible to reduce overall operational overhead.

You need to have:

? 3+ years of experience working on highly available, fault-tolerant distributed systems
? 2+ years of experience with infrastructure automation tools such as Terraform, Bosh, Chef, Ansible or Capistrano
? 2+ years of experience in at least one of the following programming languages: Ruby, Javascript, Java or Python
? A strong understanding of operating systems and the nuances of Linux
? A strong understanding of networking fundamentals including DNS, load balancing, proxies and firewalls
? Experience managing web applications operating at web scale
? A solid understanding of the modern software development lifecycle (SDLC) processes such as Continuous Integration and Delivery
? BA, BS, MS, PhD in Computer Science, Engineering or related technology field

We'd love to see:

? 2+ years of experience managing web scale infrastructure using modern technologies and DevOps principles
? 2+ years of experience with the public cloud infrastructure (AWS, Azure, Google)
? Expertise in Kubernetes, both as a client as well as owner of the platform
? Expertise in analyzing and troubleshooting large-scale distributed systems
? Knowledge of network and application performance analysis using standard UNIX tools
? Experience with maintaining and managing a community around open source software

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

3/17

Senior Software Engineer

Princeton, NJ Details

Full Time

*** Law is changing the legal industry by delivering the most sophisticated research platform on the market with a focus on automation, analytics and real-time answers. Our goal is to become an indispensable tool for legal professionals by supporting their day-to-day tasks and providing solutions that help them get real-time answers and *** ter serve their clients. Within *** Law, the Transactional Data Assets team is hiring! As part of our team, you are responsible for building tools, services and analytics that drive the future of legal research. We provide deep analysis to help our clients draft & review contracts. We aim to answer the hardest questions, at large scale, so be prepared to be challenged! Our clients depend on us to understand the meaning of their contracts, to surface problematic language, missing information and clauses that could put their firm at risk. We are self-motivated engineers who like to research, learn, and apply cutting-edge technologies to build new legal product features that anticipate our customers' needs.

We'll trust you to:

Work directly and build a strong partnership with our product teams and other internal customers todrive the product direction and to solve complex problems
Collaborate with our data analysts to collect data, build internal tools, train & deploy models
Lead design discussions about architecture, data models, new features and analytics
You'll need to have:
Experience programming in Python
Experience with relational databases, object stores & caching
Experience with micro services & distributed systems
A passion to learn new technologies & solve business problems

We'd love to see:

Experience with applying machine learning to solve complex problems
Experience with of Kafka, Redis
Experience with C++ and Python bindings
Working knowledge of web technologies (React, Vue.js, JavaScript, TypeScript, Node.js)
*** is an equal opportunities employer, and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

3/17

Data Analyst

Princeton, NJ Details

Full Time

*** runs on data, and our Global Data team acquires and supplies it to our clients. Teams work to collect, analyze, process and publish the data which is the backbone of our iconic *** Terminal -- the data which ultimately moves the financial markets! We're responsible for delivering this data, news and analytics through innovative technology - quickly and accurately.

*** is committed to diversity. It drives our innovation. At *** , you'll have the opportunity to go above and beyond and to take risks. You'll be a part of an organization that is entering new markets, launching new ventures, and pushing boundaries. Our ever-expanding array of technology, data, news, and *** services champions innovation and empowers clients -- and offers nearly limitless opportunities for career growth.

Our diverse team hosts a variety of technical skills, analytical minds, and entrepreneurial spirits. We are looking for people with passion to learn, innovate, teach and build. We do our best work together - and we hope that you'll join us.

We'll trust you to:

Design statistical methods to perform quality control to ensure data accuracy
Use data visualization tools to report on results of on-going operations and projects
Apply industry and financial knowledge to generate premium content and improve the quality of our processes and data sets
Provide customer support for users of *** products by resolving inquiries in a timely manner
Implement a variety of software solutions to extract, transform, and load data to *** systems

You'll need to have:

A bachelor's degree, preferably with combined studies in Information Systems and Finance or related business and technology field
At least two years of relevant experience
Applied proficiency with at least one programing/scripting language (Python and/or SQL)
Proficiency using data visualization tools such as Tableau or QlikSense
Legal authorization to work full-time in the United States and will not require visa sponsorship now or in the future

Does this sound like you?

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We bring out the best in each other.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

3/10

Brazilian Portuguese Localization Coordinator

Princeton, NJ Details

Full Time

Job Requirements: Must be local to location or willing to work as a local.

*** runs on data and technology. In our Global Data department, we're responsible for on-boarding, analyzing, applying, and supplying it so our clients can make informed decisions from a global perspective. We then take this perspective and bring data solutions to local markets. We solve for the problems of tomorrow.

What's the role?

*** has an exciting new opportunity for a highly motivated Brazilian Portuguese Localization Coordinator. You will work closely with Localization Team, Sales and Product teams, Data Analysts, and Software Developers to adapt our product for the local markets. You'll be able to join our growing global Localization team that supports *** sales efforts by providing products for the Brazilian Portuguese speaking market. You will also have the opportunity to build custom workflows and integrations with our Engineering team, so we would also like to see technical aptitude using Python, SQL, Java, Javascript or C++.

You need to have:

Native level fluency in Brazilian Portuguese
Outstanding English to Brazilian Portuguese language and translation skills, including familiarity with Brazilian Portuguese culture and customs, and financial markets
Demonstrated project or work experience using one or more of the following programming languages Python, SQL, Java, Javascript or C++
Experiences as a team player including excellent interpersonal skills to facilitate effective communication across teams
Self-driven and proactive; able to make decisions independently, work with minimal supervision and to deliver quality results under tight deadlines
Excellent prioritization and organization skills with the ability to manage projects, balance independent tasks / goals while contributing to team goals and collaborating with other team members
Strong knowledge of Localization processes and familiarity with CAT tools, MT/MT retraining, and terminology management
Ability to effectively adapt to changing tools, technologies and work flows, and to actively contribute to improve processes for localization
Ability to collaborate with management in the development of product documentation and guidelines
Legal authorization to work full-time in the United States and will not require visa sponsorship now and in the future

We'd love to see:

Prior work experience in the language industry, information technology, finance or data analysis
Exposure to *** products such as the *** Professional Service
Established presence in virtual development communities such as GitHub, Stack Overflow and HackerRank
Experience using data visualization tools such as Tableau or QlikSense

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

3/6

Enterprise Data - Software Quality Assurance Engineer

Princeton, NJ Details

Full Time

We're *** Enterprise Data - fast paced, innovative and expanding. We have worked hard and smart to become the successful business we are today. We partner closely with our clients, taking time to understand their unique businesses and individual data and technology needs. Our endless selection of datasets, covering all asset types, with multiple delivery technologies and flexible scheduling mean our clients are able to get exactly the data they need, when they need it, in the format they prefer. Without us, they simply can't operate.

The role:

The Enterprise Data Quality Assurance team, is responsible for creating and maintaining testing frameworks that automate test plans used to ensure that Enterprise Data Real Timer products are of high quality before launch. We are seeking a Software Quality Assurance Engineer with programming/coding skills to help us develop automated testing tools and frameworks using the *** API.

The team works with Product/Business teams and Engineering to accomplish the following:

Creating test strategies - Clearly identify the test scope and objective with focus on key business points
Identifying and documenting defects - Able to research the defect root cause and add supporting documentation
Identifying and removing bottlenecks preventing the agile delivery of releases - Able to think outside of the box with different approaches and pursue persistently
Driving continuous improvements of testing tools and processes - Open-minded to new ideas/technologies on how to perform testing in more reliable and efficient way
Researching solutions to address client needs - Able to research/learn independently and provide possible solutions

We will trust you to:

Have strong attention to details and dedication to efficiently work problems to resolution
Utilize judgment, and collaboration skills to interact positively and communicate appropriately with team members, management and other stake holders
Be able to do a thorough unit and regression testing
Possess the ability to quickly learn new concepts and industry trends
Display a positive "can do" attitude when troubleshooting or problem solving
Be able to prioritize and ensure projects complete on time (no need to push comp date for QA reasons)
Be proactive, rather than passive and reactive
Identify risks and escalate appropriately to key stakeholders
Produce high quality documentation of test execution

You'll need to have:

Understanding of agile QA concepts, practices, processes and tools
Prior experience with developing automation of QA functionality
Experience with C++ and Python languages
Experience with MS SQL Server
Experience working in Linux and Windows environments
Strong problem solving and troubleshooting skills
Exemplary presentation, training and communication skills in English
Legal authorization to work full-time in the United States and will not require visa sponsorship now or in the future

We'd love to see:

2+ years' experience with a software QA preferred
2+ years' experience with automated test tools preferred
Experience using an API to build solutions
Experience with the *** API
Knowledge of market data systems
Experience with one or more of the following languages: .NET, Java
Knowledge of web development and testing tools
Knowledge of cloud computing services: *** Web Services, Microsoft Azure, Google Cloud Platform
Experience with Git
Experience with Jenkins
Experience with Jupyter Notebooks

If this sounds like you:

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.

*** is an equal opportunities employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

2/25

Data Engineer - Quantitative Finance

Princeton, NJ Details

Full Time

At *** , our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Global Data, we're responsible for delivering this data, news and analytics through innovative technology - quickly and accurately.

Our goal is to innovate, redefine, and break boundaries in expanding our modern data business. In Global Data's Technical Operations, our focus is how data is acquired, processed, validated and stored. Working across industries and asset classes, we draw on expertise from all backgrounds to identify the most impactful insights. Our work leads directly to client satisfaction, which contributes to *** 's profitability and ability to keep innovating.

Our Team:

The *** Intelligence (BI) Data Engineering team is responsible for building the systems that support the creation of critical research to support client investment decision making. Our team works closely with the BI team to execute on BI strategy that supports client and business needs. Our team builds scalable and configurable solutions to meet these needs across multiple product areas. We see the impact of our work every day, whether it's building machine learning pipelines, architecting systems that translate to market-moving insights, or finding ways for our colleagues to more easily do their jobs.

We'll trust you to:

Apply your coding skills: automate the i *** ux of data and build flexible solutions for ETL and machine learning pipelines, and data visualization to support product needs
Inspire and impact our business: act as an internal consultant to i *** uence and implement more efficient products through analysis, das *** ards, web apps, and user documentation
Collaborate across teams: gather requirements across teams, synthesize into generic solutions, and serve in project management capacities to drive initiative to the finish line
Champion improvements: identify strategic technical gaps in our ecosystem and advocate for solutions over workarounds
Grow our business: approach each day knowing this role is critical to the success of the firm. We will rely on your expertise, and our flat structure allows for you to make measurable impact

You'll need to have:

2+ years of professional work experience in software development, data engineering, data science or information technology
Strong financial market knowledge, including knowledge of accounting principles, interpreting financial statements, and exposure to quantitative financial analysis
2+ years of Python programming and scripting in a production environment
Demonstrated proficiency using data and statistical modeling and machine learning methods to solve real world problems
Excellent written and verbal communication and presentation skills
Legal authorization to work full-time in the United States without requiring visa sponsorship

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

2/25

Enterprise Data Technical Support Representative

Princeton, NJ Details

Full Time

Job Requirements: Must be local to location or willing to work as a local.

We're *** Enterprise Data - fast paced, innovative and expanding. We have worked hard and smart to become the $1bn business we are today. We partner closely with our clients, taking time to understand their unique businesses and individual data and technology needs. We provide a vast number of datasets that cover all asset classes, via multiple delivery technologies and flexible scheduling options. This means our clients get exactly the data they need, when they need it, in the format they prefer. Without us, they simply can't operate.

The role:

We're looking for a passionate, motivated service-orientated individual to come join our team. You'll be trained to quickly and accurately identify problems, and then perform detailed & meaningful diagnostic & troubleshooting to identify the root cause. If needed, you'll escalate the issue internally, all whilst ensuring our clients receive an exceptional, seamless support experience.

You are professional and personable, intelligent and analytical, and keen to join a diverse team that provides round-the-clock support to our Enterprise Data clients. You're a solution-provider, with a passion for providing platinum technical support. You are able to get results by working closely with team members and colleagues around the organization, but are also not afraid of making independent decisions when situation demands. You are an aspiring leader who operates with high impact and is keen to demonstrate your organizational and management skills.

We'll trust you to:

Work closely with technical and market data contacts at client firms to help resolve & prevent issues that may impact the their businesses
Handle escalations to internal *** groups such as Network Operations, Global Data team, Data Feed teams, Implementation and Engineering
Take ownership of questions and technical issues reported by clients and provide direct support using telephone, ticket systems & email, and, if necessary, actually in person
Actively troubleshoot to recreate reported customer issues on internal, client simulated & test system environments OR by actually carrying out diagnostic work on clients own test/UAT systems
Identify opportunities to implement and drive adoption of self-ser *** solutions to meet client needs
Identify team and personal workflow efficiencies through tooling and process improvement
Maintain the health and availability of our systems through alerting, monitoring, capacity management, instrumenting, and reporting
Partner with sales and account management to build and strengthen client relationships

You'll need to have:

2+ years experience in a customer facing position involving the support of a technical product
Experience working with a scripting language or programming language (i.e Shell, Perl, Python, .NET, Java or C++)
An understanding of cloud architecture (AWS, Azure, GCP)
An analytical and problem solving mindset
A passion for customer service
Strong multitasking skills and the ability to maintain a professional demeanor when handling complex and time sensitive issues
A basic understanding of market data and associated financial instruments
Ability to derive requirements from stakeholders via email, meetings, and conference calls
Bachelor's degree in Computer Science, Information Systems/Technology or Finance
Legal authorization to work full-time in the United States and will not require visa sponsorship now or in the future

We'd love to see:

UNIX skills with ability to investigate technical issues or willingness to learn
A basic conceptual understanding of Web Services and REST API's
Experience with database querying languages such as SQL, NoSQL or similar
Exposure to architectural design in order to facilitate client adoption of *** 's Enterprise Data products and services
CFA or related financial services certifications
Business fluency in any core European language (Spanish/Portuguese preferred)

If this sounds like you:

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this: ***

*** is an equal opportunities employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

1/28

Agile Coach - Bloomberg Law

Princeton, NJ Details

Full Time

*** Law (BLAW) is changing the legal industry by delivering the most sophisticated legal technology platform on the market with a focus on leveraging artificial intelligence to deliver real-time answers. BLAW provides users with fast access to legal content and analysis, practice tools, company information and market intelligence through advanced search & analytic capabilities. We are committed to changing the way legal professionals conduct their day to day tasks by automating research and providing analytical solutions to help them *** ter serve their clients. Our goal is to use innovative technologies to deliver best in class solutions on a fast and reliable platform that will impact the future practice of law.

On the BLAW Program Operations team, you will help drive excellence with our full-stack product development teams consisting of frontend, backend, and machine learning engineers, product owners, and subject matter expert data analysts to prioritize initiatives and share information. We are self-motivated individuals who work in a collaborative and Agile environment.

We'll trust you to:

Actively support teams to effectively deliver incremental value
Foster a healthy, collaborative environment
Be an inspiring change agent, focused on empowering teams and individuals
Identify impediments and raise awareness
Partner with Engineering and Product Leadership
Improve visibility and predictability of progress on initiatives
Adapt your approach and communication style to fit varying contexts and situational needs
Advocate for and advance modern agile software development
You'll need to have:
Experience coaching teams in an Agile environment
Knowledge of Scrum principles and practices
Knowledge of scaled Agile practices (e.g., SAFe, Nexus, Scrum@Scale, LESs)
The ability to guide others to deal with situations of co *** ict, ambiguity, and uncertainty
The ability to drive and manage change in a matrix organization
Knowledge of Atlassian tools (JIRA, JIRA Query Language and plug-ins like Structure and BigPicture)along with collaboration tools (G-Suite, MS Office, Co *** uence)

We'd love to see:

A desire for and commitment to continuous learning (education, training, conferences, and self-study)
A demonstrated ability to coach beyond Scrum - Kanban, XP, etc.
Facilitation experience - guiding groups (large and small) through processes that help them come tosolutions and make decisions
Certified Scrum Master or Certified Scrum Professional (CSM or CSP)
Associate Certified Coach (ACC) or Professional Certified Coach (PCC) credential or ICF accreditededucation.
Training from the Back of the Room certification
Git/Github, markdown and git web pages for creating and maintaining documentation
*** is an equal opportunities employer, and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

1/26

Data Engineer

Princeton, NJ Details

Full Time

Apply your coding skills: Automate the i *** ux of data and build flexible solutions for data acquisition, ETL and machine learning pipelines, and human-in-the-loop data processing to drive successful product adoption
Inspire and impact our business: Act as an internal consultant to i *** uence and implement more efficient products through analysis, das *** ards, web apps, and user documentation
Develop your career: sharpen your technical skills and strengthen relationships through project management, partnering with stakeholders across the firm, and establishing scalable architecture
Champion improvements: identify strategic technical gaps in our ecosystem and advocate for solutions over workarounds
Grow our business: Approach each day knowing this role is mission-critical to the success of the firm. We will rely on your expertise, and our flat structure allows for you to make real impact, real quick

You'll need to have:

A BA/BS degree or higher in Computer Science, Mathematics, or relevant data technology field, or equivalent professional work experience in software development, data engineering, data science or information technology
2+ years of Python programming and scripting in a production environment
2+ years of experience working with restful APIs and data modeling within SQL and NoSQL databases
Deep understanding of large-scale, distributed systems
Legal authorization to work full-time in the United States without requiring visa sponsorship

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

1/26

Software Quality Engineer - Execution Management Systems

Princeton, NJ Details

Full Time

*** is seeking a Software Quality Engineer to support our Electronic Trading Applications Quality Assurance and Engineering teams. The team performs functional software testing on *** 's Execution Management System (EMSX). You will be working with the Quality Assurance, Engineering, and Product teams to scale the automated testing needs with tight timelines. In addition, a great deal of analysis of data input and output is expected. You'll get a front-row seat to the financial markets, gain insights and perspectives on how they work, and test software that helps shape their future success.

EMSX is a multi-asset class trading platform that integrates *** exchange and broker data with clients' equity, futures, and options orders. EMSX allows clients to seamlessly route to over 1300 brokers representing over 2800 algorithmic/DMA, program, and cash trading destinations. EMSX allows clients to download order details into accounting and back office systems, as well as run execution reports to populate their Order Management System in real time. EMSX also provides a straight-through-processing solution that simplifies and automates all trading activity on our clients' global trading desks.

We'll trust you to:

Have a solid understanding of coding and programming languages and how to apply them to effectively test.
Analyze workflows and test scenarios to rectify scope of testing and inefficiencies.
Create and maintain automated test scripts for our regression suite.
Execute and troubleshoot automated tests
Coordinate with developers to provide efficient feedback on release quality.
Project manage technical testing implementations with the QA and engineering teams.
Build ser *** level tests based on current UI automated tests.
Contribute to and support our shared strategic technology agenda

You'll need to have:

Bachelor of Science or Bachelor of Arts in Computer Science or Finance
At least 3 years or more of Test Automation Experience
Have extensive knowledge and demonstrative abilities in Javascript
Experience with FIX testing and creating automated tests for FIX protocol workflows
Interpretation and understanding of file formats such as .xml, .csv and JSON and the conversion from one to another
Effective project management skills and ability to prioritize tasks accordingly
Strong Analytical and problem solving skills
Familiarity with JIRA and Agile SDLC

We'd love to see:

Experience with ***
Understanding of Equity markets
Knowledge of BDD and TDD Frameworks
Expertise in data quality analysis and testing
Experience creating automation frameworks

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

1/14

Senior Data Engineer/Quant, Global Data

Princeton, NJ Details

Full Time

*** runs on data, and the Global Data team here is responsible for acquiring it and providing it to our clients. We collect, analyze, process and publish the data which is the backbone of our iconic *** Terminal- the facts and figures which fundamentally move the financial markets. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to improve our systems, products and processes- and all this while providing platinum customer support to our clients.

We're one step ahead of the game- constantly looking to increase the depth and breadth of our data coverage, improve our engagement with the industry, and ultimately provide data solutions and insights to our customers before they even know they need them.

The Role

As a Senior Data Engineer/Quant, you'll be working with a group of experienced data engineers and data scientists on large and diverse data challenges, applying your practical experience within Data Analysis and Machine Learning to identify/screen for data errors in sophisticated data sets - the kind of data that sets *** apart from the competition.

You'll get to design and prototype statistical solutions that improve our data quality and scale these proof-of-concept models into production systems using our internal technology stack, ultimately producing premium client-facing content.

We'll trust you to:

Be responsible for the end-to-end process of delivering solutions to real business problems, from start to finish: identify the opportunity, benchmark the status quo, design and prototype solutions, build the applications and data pipelines, bring the system into production, evaluate and monitor the results
Own the automated quality control in Global Data, employing techniques such as data analysis, hypothesis testing, outlier detection, benchmarking, and cluster analysis for automated quality control
Design optimal solutions using your knowledge of industry-standard statistics and ML techniques on a wide range of financial data, ideally using Python ML libraries (e.g. NumPy, Pandas, SciPy, matplotlib, scikit-learn, statsmodels, Numba, TensorFlow, PySpark, PyTorch etc.) on our big data/ML platforms
Interact with the various data teams in our department in order to understand their products and advise on the business rules and statistical methods/algorithms needed to spot and screen for errors
Design and develop large-scale projects and initiatives that challenge the status quo when it comes to how we analyze and process data
Elicit requirements and present findings to a wide range of partners with a wide range of statistics and technical domain expertise
Monitor the efficacy of your automated quality models through visual and user-friendly das *** ards in order to make data-driven recommendations

You'll need to have:

Advanced degrees in STEM field or 3+ years of experience in a Data Engineering, Machine Learning, Data Science or Data Analytics role
Proficient with one or more programming/scripting languages, preferably Python
Advanced knowledge of data modeling, database design and SQL
Applied ML/NLP development experience, designing software architecture and building production-quality applications, using primarily Python-based industry-standard toolkits to tackle real-world problems.
Excellent written and verbal communication skills, especially when explaining technical processes and statistical solutions to business partners and management
Legal authorization to work full-time in the United States and will not require visa sponsorship now and in the future

We'd love to see:

Knowledge of NLP techniques and Python libraries (e.g. NLTK, spaCy, TextBlob, Stanford CoreNLP, Gensim, polyglot etc.)
Familiarity with big data/streaming stack (Kafka, Spark, Hadoop, HBase, Solr)

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

12/19

Data Engineer

Princeton, NJ Details

Full Time

Apply your coding skills: Automate the i *** ux of data and build flexible solutions for data acquisition, ETL and machine learning pipelines, and human-in-the-loop data processing to drive successful product adoption
Inspire and impact our business: Act as an internal consultant to i *** uence and implement more efficient products through analysis, das *** ards, web apps, and user documentation
Develop your career: sharpen your technical skills and strengthen relationships through project management, partnering with stakeholders across the firm, and establishing scalable architecture
Champion improvements: identify strategic technical gaps in our ecosystem and advocate for solutions over workarounds
Grow our business: Approach each day knowing this role is mission-critical to the success of the firm. We will rely on your expertise, and our flat structure allows for you to make real impact, real quick

You'll need to have:

A BA/BS degree or higher in Computer Science, Mathematics, or relevant data technology field, or equivalent professional work experience in software development, data engineering, data science or information technology
2+ years of Python programming and scripting in a production environment
2+ years of experience working with restful APIs and data modeling within SQL and NoSQL databases
Deep understanding of large-scale, distributed systems
Legal authorization to work full-time in the United States without requiring visa sponsorship

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

12/16

Senior Software Engineer

Princeton, NJ Details

Full Time

Who are we?

*** serves billions of data points over the *** Terminal each day. This data comes from various sources all over the globe. Our department is responsible for providing the infrastructure necessary to get all of this data from the outside world into *** . By joining Data Technologies, you will help improve the ser *** to our clients across all of *** 's products.

Data quality is critical to our success. Data accuracy, timeliness, and coverage are more important than ever as our clients look to automate their insights and decisions. As an engineer on the Data Technologies Quality team, you will be responsible for the platforms and tools we create to ensure our data quality is best in class. We are a technically diverse group solving a number of challenging problems in very different ways and pride ourselves on our intellectual curiosity and the quality of our systems. Our services leverage leading big data technologies such as Hive and Spark as well as our department's scalable micro-ser *** platform and bitemporal database solution

What's in it for you?

You will be at the forefront of a change in the way *** detects and measures quality across all products. In this particular role, you will focus on enhancing our accuracy detection system. You will also be tasked with developing a coordinated quality metrics platform. We are aiming to put forth an entire quality ecosystem and need talented engineers to understand the full scope of what we, as a business, are trying to achieve. Creative solutions are a must as we tie error detection, metric reporting, and algorithm feedback together. There will be plenty of opportunity to design and build out new exciting functionality and drive the direction of the platform.

In addition, we'll trust you to:

Understand the business challenges *** faces in terms of large scale data ingestion, validation, and re *** tion
Take full ownership of products and technical solutions
Collaborate directly with our product counterparts to capture requirements and iterate on projects
Design, develop, and release high-quality maintainable code
Work on multiple initiatives in a fast-paced environment
Be able to excel in collaborative agile processes

You'll need to have:

5+ years of hands on Python programming experience
Strong knowledge of data structures, algorithms, design patterns, and parallelism
Experience designing distributed systems that are resistant to outages and failures
An understanding of continuous integration principles and writing testable code
Familiarity using Linux/Unix based operating systems
Excellent communication and interpersonal skills.
BA, BS, MS, PhD in Computer Science, Engineering or related technology field

We'd love to see:

History of developing and integrating micro-services
Experience with Hive, Spark, and other big data frameworks
Previous usage of other programming languages like Java or C++
Kept up to date with latest Python packaging standards

*** is an equal opportunities employer, and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

10/24

Senior Data Engineer - Business Intelligence

Princeton, NJ Details

Full Time

*** runs on data. Our data captures the who, what, when, where and why of how our clients use *** products. As the Enterprise Data Warehouse and Business Intelligence team, we are responsible for ingesting and preparing massive amounts of data for reporting, das *** ards, self-ser *** and advanced analytics. The data will also be used to drive new businesses within *** by providing new insights.

What's in it for you?

Are you motivated to build robust and scalable systems to handle petabytes of data, with billions of new data points being ingested daily? As a hands-on data pipeline architect and developer you will be working with traditional and modern technologies to enhance our capabilities to analyze large volumes of data with complex business rules. You will work with the business to elicit requirements and implement them in an agile fashion. Our environment combines traditional warehouse technologies, MPP databases, Hadoop, and other technologies

Need to have:

5+ years of experience with DBMS, ETL tools. Specific expertise in implementing Informatica in an Enterprise environment is a plus.
Advanced SQL capabilities are required. Knowledge of database design techniques and experience working with extremely large data volumes is a plus.
Strong understanding of data warehousing methodologies, ETL processing and dimensional data modeling.
Programming experience in Python
Strong problem-solving skills and trouble-shooting skills
BA, BS, MS, PhD in Computer Science, Engineering or related technology field

Nice to Have:

Familiarity with Hadoop ecosystem (HDFS, Spark)
Knowledge of RDBMS, MPP systems
Knowledge of streaming technologies like Kafka
Knowledge of reporting tools such as QlikSense, Tableau, Cognos
Experience working in a UNIX or Linux development environment

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

10/7

Data Scientist

Princeton, NJ Details

Full Time

Rise to the challenge: research new data sets and use your technical subject matter expertise to recommend new product offerings and generate premium content
Drive operations: draw on your scripting and programming skills to report on project progress, -create data visualizations, and propose new methods of analysis
Implement innovation: analyze metadata and current processes to find opportunities for improvement
I *** uence priorities: Review market conventions and data relationships to set rules for data validation
Achieve your purpose: optimize processes, lead projects, and improve the quality of the products sought by internal and external end-users

You'll need to have:

A bachelor's degree, preferably with combined studies in Information Systems and Finance, or related business and STEM fields
2+ years of programming and scripting experience in a Python production environment
Consistent track record of using technology to innovative data products and processes
Proficiency using data and statistical modeling and machine learning methods to solve real world problems
Legal authorization to work full-time in the United States and will not require visa sponsorship now or in the future

Does this sound like you?

Apply if you think we're a good match! We will be in touch to let you know what the next steps are.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

10/3

Software Developer Engineer In Test - Post Trade

Princeton, NJ Details

Full Time

6/26

Senior Software Engineer

Princeton, NJ Details

Full Time

The DataHub Engineering team provides a distributed platform for hosting datasets, complete with managed data stores, search, discovery, batch analytics and real-time stream processing capabilities. Our goals: ensure high quality content, which is indispensable to financial markets, is cataloged, standardized, discoverable, distributed and accessible in one place.

Who are you:

The ideal candidate is an innovative problem solver who enjoys working in multiple roles and thrives in a fast-paced, collaborative environment. You are curious, kind, continually learning, and happy to share what you learn. You enjoy pursuing complex issues to their root cause. You love search engine internals, performance at scale and engineering for reliability.

What's in it for you:

As a search engineer in the DataHub team, you will build low latency discovery services that scale to address needs of financial datasets at *** . You will engineer reliable systems, learn unique needs of financial data, innovate on platform services and query patterns. You will also have the opportunity to contribute to open source projects. You'll be surrounded by people who are passionate about distributed computing, and believe that world-class ser *** is critical to customer success. You'll get the chance to work with development teams across *** and understand their application requirements and build systems together.

You'll need to have:

4+ years of professional experience building reliable high performance services using Java
Experience performance engineering low latency services
Understanding of search engine internals and experience with either Solr or Elasticsearch
Experience in software instrumentation for monitoring and observability
BA, BS, MS, PhD in Computer Science, Engineering or related technology field

We'd love to see:

Ownership, quality, empathy for our users, team, contributions to database community and a bias for action

If this sounds like you, we hope you apply!

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

4/16

Senior Software Engineer

Princeton, NJ Details

Full Time

Engineering Data Services group is responsible for core data and analytics services that are used across *** 's application teams. Our ser *** stack currently runs on over 900 machines and serves over 120 billion requests a day. With ever increasing data volumes and growth of *** 's Enterprise products, this footprint has been growing at a rapid pace year over year. Our team also provides multiple foundational services such as meta data and id master for our *** Query Language (BQL), the next generation analytics and screening engine for financial datasets.

We are building out a suite of tools that help developers support and optimize our data services. One such tool, our data integrity checker, is required to verify 50 billion unique data points daily to detect anomalies. This immense scale requires the use of Hadoop and Spark analytics framework. We are developing a set of brand new services for metadata, security & entity relationships and entitlement. Due to the large volume and explosive growth of underlying data we are looking to leverage Hadoop based storage for these services. We are also building new tools to manage our server farm more efficiently and leverage analytics to ensure high availability, efficient load balancing and fair scheduling.

We are looking for strong C++/Java software engineers who can design and develop low latency, high performance distributed systems. The ideal candidate should have strong programming skills, the ability to work collaboratively and a proven track record of delivering quality engineering solutions to real world problems. Our team is comprised of a small group of technologists passionate about data and pushing the boundaries of technology to deliver innovative solutions. We expect you to be proactive, able to work independently and take ownership in driving the vision and execution of the product.

We'll trust you to:

Design, implement and own critical applications and components of our services stack
Participate in the full SDLC (Software Development Life Cycle) of various components and systems that are required to be highly efficient, robust and scalable
Enhance our infrastructure to fulfill mission critical SLAs, whether low latency or high throughput data retrieval
Get to know development teams across *** , understand their application requirements and data access patterns

You need to have:

3+ years of C++ or Java on UNIX/Linux environment
Solid understanding of algorithms and data structures, knowledge of object-oriented design and multi-threading
Excellent problem solving and communication skills, and ability to thrive in a highly collaborative and dynamic work environment
Experience with high volume, high availability distributed systems
Experience working in a test-driven development and agile environment

We'd love to see:

Knowledge of low-level Linux, UNIX networking and C system calls for high performance computing and debugging
Experience with systems level Java or Scala
Experience with Hadoop and/or using a distributed analytics infrastructure like Apache Spark

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

3/5

Senior Software Engineer

Princeton, NJ Details

Full Time

Our clients heavily rely on comprehensive financial information to identify trends and gain data transparency so they can analyze the value of a potential investment, partnership or acquisition target. In order to make this analysis possible for our clients, our team is responsible for providing standardized & enriched company data, and multiple flavors of *** consensus along with the individual broker forecasts of company financial data. We acquire financial documents for markets around the world and information directly from buy- and sell-side firms and apply state-of-the-art techniques to extract, standardize, and publish millions of data points to the *** Terminal.We share a passion for solving real life problems by rolling up our sleeves and collaborating seamlessly, within and across teams.

What you will do:
As a member of our team, you will have the opportunity to design and develop high performance, low latency, distributed and scalable platform and applications using proprietary and open source technologies. You will work on all phases of Software Development (using Agile methodologies) and will work closely with Product, Global Data and other Engineering teams in the process. In addition, we'll trust you to:

Collaborate directly with our product counterparts to capture requirements and iterate on projects
Take full ownership of products and its technical solutions
Work on multiple initiatives in a fast-paced environment
Design, develop, and release high-quality maintainable code
Ensures SDLC operating standards such as Continuous Integration & Deployment, Unit/Integration Tests are followed and help the team by bringing in new ideas to improve the SDLC process
Be a "big picture" thinker

You'll need to have:

3+ years of hands on programming experience (Python and/or Java preferred)
Strong understanding of Data Structures, Algorithms, Multi-threading and Design Patterns
Practical experience with designing and building systems using object oriented methodologies
Practical experience with designing distributed systems that are resistant to outages and failures
Excellent communication and interpersonal skills
Experience working in a fast paced environment with tight deadlines while delivering high quality solutions to clients
BA, BS, MS, PhD in Computer Science, Engineering or related technology field

We'd love to see:

Experience working with Microser *** architectural style
Familiarity with NoSQL Databases and Cloud-Based Object Stores
Familiarity with queuing and caching technologies
Experience with Data Science and Machine Learning techniques to help with automation
*** is an equal opportunities employer, and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

2/22

Senior Software Engineer

Princeton, NJ Details

Full Time

The Data Technologies Financial Instruments Datasets team designs and builds complex data processing pipelines to get data from external sources (websites, filings, documents, FTPs, feeds, news, etc) and into *** 's ecosystem. We then transform the data into standardized consumable schema payloads for teams downstream to display via various client-facing UI's/API's for financial instrument products including Corporate Bonds, Municipal Bonds, Government Bonds, Loans, Funds, Portfolio Holdings, and Indices.

This critical security level data is the lifeblood of the *** Terminal and Enterprise products. Our team is rebuilding these workflows from scratch. This includes brand-new JSON/AVRO format schema-based data models stored in big data platforms and leveraging pipes/feeds for downstream consumption, data processing pipelines and pre-publish business rules validation engines using Python-based microservices, newly trained machine learning (ML) and natural language processing (NLP) models and entity recognition/disambiguation mapping services integrated into the overall flow to identify, extract, and enrich the data, and manual re *** tion worklists and UI's for analysts and vendors to correct the data when the automation fails and manual intervention is required. Some of these brand-new workflows are already underway and many are set to begin soon. We are looking to add skilled engineers to help us design and build these full end-to-end data processing workflows. They will fully replace the existing legacy workflows with a focus on improving the accuracy, coverage, timeliness, and discoverability of the data we collect, as well as greatly improving the overall efficiency of our Global Data analysts and vendors who monitor these workflows.

If the idea of getting to design and build a brand-new data processing pipeline/workflow to replace an existing one, where you can have a huge impact on the data quality and efficiency of collecting data that is vital to *** 's success, interests you, please read on and apply to this job posting!

We will trust you to:

Take ownership of the critical products and their designs, and then build and iterate at a rapid and incremental pace.
Work with a variety of technologies to develop innovative solutions.
Collaborate proactively in an agile, fast-paced team that works closely with other engineering teams, product/business teams, and data teams.
Be a passionate problem solver and think outside the box and take smart, calculated risks to deliver the highest business value.
Deliver on time without compromising on quality, and while displaying strong software craftsmanship.

You will need to have:

3+ years of experience in designing and implementing complex full stack software applications.
3+ years of experience in at least two of the following three languages: Python, C/C++, and Javascript.
Familiarity with database programming and data modeling (SQL and JSON/AVRO and database/schema design).
Strong communication and interpersonal skills.
Strong analytical and creative problem solving skills.
BA, BS, MS, or PhD in Computer Science, Software Engineering, or related technology fields.

We would love to see:

Experience building critical pipelines of data flowing from original un-structured source documents to structured/mapped/schema-based data stores for downstream consumption, with an emphasis on automation over manual re *** tion, and on scalability/configurability.
An understanding of the design, implementation, and deployment of high performance, high availability, large-scale applications in a distributed environment.
Familiar with User interface (UI) design and user experience (UX) principles.
Experience in C#/Java/.NET.

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

1/28

Senior Kubernetes Engineer - Datahub Team

Princeton, NJ Details

Full Time

Job Requirements: Must be local to location or willing to work as a local.

The DataHub Engineering team provides a distributed platform for hosting datasets, complete with managed data stores, search, discovery, batch analytics and real-time stream processing capabilities. Our goal: ensuring high quality content, which is the life blood of financial markets, is cataloged, standardized, discoverable, distributed and accessible in one place. The platform offers low latency, high availability data stores, pipes, stream processing, real-time change data capture, distribution and discoverability services. That's where you come in.

Who are you:

You're an innovative problem solver who enjoys working in multiple roles and thrives in a fast-paced, collaborative environment. You are curious, kind, continually learning, and happy to share what you learn. You enjoy pursuing complex issues to their root cause. You are proficient in systems engineering and have production experience with Kubernetes.

What's in it for you:

As a Kubernetes engineer in DataHub team, you will be responsible for customizing K8S to host DataHub and the diverse workloads the platform needs, like Spark, Kafka based dataflow processors, application lambdas, ser *** mesh and batch frameworks. Partnering with the Managed Compute Infrastructure team, you'll contribute to company wide K8S infrastructure while building, managing, scaling and enhancing K8S run-time for DataHub. Objective is baremetal K8S clusters, high scale, elasticity and efficiencies. You would also have opportunities to contribute to Kubernetes and other open source projects.

You'll need to have:

4+ years of professional experience in Linux systems, networking, distributed systems
Proficiency in one of Linux kernel subsystems, TCP/IP, BPF, performance engineering
Good understanding of container run-time, and any one of: K8S, Mesos
Experience in software instrumentation for monitoring and observability
Experience with automation, idempotent deployments testing, continuous delivery pipelines, and documentation
BA, BS, MS, PhD in Computer Science, Engineering or related technology field

If this sounds like you, apply! We are a global team with engineers based in New York, Princeton, and London. We're open to hiring someone to work in any of these locations.

*** is an equal opportunities employer, and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.