79 Data Engineer jobs

S&P Global Engineering Solutions The Role: Data Scientist The Team: R&D team develops an intelligent platform as part of S&P Global Engineering Solutions – a scalable cognitive engine that help end users – engineers, innovators, and researchers – to discover and leverage valuable insights and knowledge locked in unstructured and semi-structured content of corporate repositories and industry sources. The task includes developing AI-based mechanisms for extraction, decomposition, analysis, and retrieval of relevant engineering data, with leveraging state-of-the-art Machine Learning and Deep Learning models that work in a scalable and optimized cloud system. The Impact: This role is critical for developing high quality models for unstructured data analysis in application to intelligent data processing pipeline. What’s in it for you: 1. Exciting tasks and the team with rich history and accomplishments, and own products development in the space of...

S&P Global Engineering Solutions The Role: Software Engineer / Data Engineer (Python) The Team: R&D team develops an intelligent platform as part of S&P Global Engineering Solutions – a scalable cognitive engine that help end users – engineers, innovators, and researchers – to discover and leverage valuable insights and knowledge locked in unstructured and semi-structured content of corporate repositories and industry sources. The task includes developing AI-based mechanisms for extraction, decomposition, analysis, and retrieval of relevant engineering data, with leveraging state-of-the-art Machine Learning and Deep Learning models that work in a scalable and optimized cloud system. The Impact : This role is critical for success of innovative projects related to Natural Language Processing, Data Capturing, Content Understanding and Information Retrieval domains. What’s in it for you:  Exciting tasks within the AI/Data Science team with own...

Position Summary The Technology, Media, and Telecommunications business line seeking an adept, architecturally minded Lead Data Engineer.  The candidate has experience translating business needs into a vision of what should be built. This means skillfully choosing and deploying big data technologies and infrastructure building frameworks atop to facilitate autonomous use, and abstracting production solutions so they feel like “magic” for your stakeholders such that things “just fall into place.” As the Lead Data Engineer, you have a diversity of software development experience rather than a single tool suite or paradigm. You are hands-on, data-driven, and highly collaborative. You should enjoy being "full stack" in the sense that you own a product from beginning to end by designing, constructing, integrating, testing, documenting, and supporting your creations. You have a passion for engineering best-practices and the ability to lucidly communicate with fellow engineers as...

Position Summary The Technology, Media, and Telecommunications business line looking for a savvy Data Engineer to join our Data team. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects and data analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture pipeline to support our next generation of products and data initiatives. Job Responsibilities...

The Location: USA, Remote The Team:  The New Product Development team gathers intelligence from across the financial services market, including new technologies, and new approaches to alternative data sources, to help define how they have the potential to impact businesses within the sector. We then define product opportunities and build partnerships with internal teams and third parties to develop new products that deliver new innovations. We succeed through leveraging unique research, big data, and machine learning techniques, and quantifying non-traditional data sources and risk analysis in bespoke models that help businesses manage their approach. This team works toward implementing ideas at the junction of Risk, Fintech and Data Science. The Impact:  With the ever-expanding data sets and techniques to handle data, in this role you will use cutting edge techniques in domain languages to handle both traditional and alternative data sets and apply them into credit modelling....

Data Scientist – S&P Global Commodity Insights S&P Global is looking for a data scientist who will part of our Data Science and Modelling team, the ideal candidate should be highly motivated and goal-oriented, with an encouraging attitude of working in a very dynamic work environment with a wide range of stakeholders and functional teams. Job summary: As a Data Scientist at S&P Global, you will apply your advanced analytics skills to transform our vast datasets into tangible business value. You will slice and dice data, analyse information, communicate your findings and collaborate on product development. Outcome of your work will serve multiple business purposes, from commercialized software solution development, driving internal business decisions, to consulting external clients. Responsibilities: • The candidate will drive business decisions based on the insight obtained from the data. • Strong problem-solving skills with an emphasis on product development. •...

The Team : As a member of the Data Transformation - Cognitive Engineering team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and other clients. You will learn how to develop production-ready AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative. What’s in it for you: Be a part of a global company and build solutions at enterprise scale Work with a highly skilled and hands-on technical team (including leadership) Contribute to solving high complexity, high impact problems Build production ready pipelines from ideation to deployment Responsibilities: Design, Develop and Deploy ML powered products and pipelines Play a central role in all stages of the data science project...

The Role: Data Engineer The Team: The Market Intelligence Platform and Channels (PC) organization provides data technology and services supporting acquisition, ingestion, content management, mastering and distribution to power our business line and customer needs.  Focus on platform scale to support business lines through a common data lifecycle that accelerates business value. The office strives to provide new insight to our customers through data discovery, research, and integrated access.   In certain cases, the office will utilize capital investment on key initiatives to deliver immediate value or remediate high risk areas through structured programs. Maintains a focus on innovation to keep ahead of market trends and disruptive technologies. The Lodestone Data Engineering team is responsible for working together with internal data producers and assisting the teams with making their data available to a data fabric. Responsibilities: Set up cloud infrastructure...

The Role: Quantitative Data Engineer, Research Signals The Team: The Research Signals group provides independent research and investment consulting services to the institutional asset management community. The group researches and develops individual factors and multi-factor models across a range of asset classes by applying a systematic evaluation process to a variety of fundamental, technical, and industry-specific data sources. The Impact: The Quantitative Data Engineer develops and supports new and existing quantitative products and datasets.  The Research Signals team’s research and datasets are widely used across the investment management industry. This position will partner with stakeholders in technology, research and operations and the broader product management team to build a data platform, deliver robust production systems and ensure high data integrity of our quantitative products which include alpha factors, risk models and quantitative investing software...

Department overview: The Market Intelligence RASS business line provides data technology and services supporting acquisition, ingestion, content management, mastering and distribution to power our Financial Institution Group business and customer needs.  Focus on platform scale to support business by following a common data lifecycle that accelerates business value. We provide essential intelligence for Financial Services, Real Estate and Insurance industries. Responsibilities: The FIG Data Engineering team will be responsible for implementing & maintaining services and/or tools to support existing feed systems which allows users to consume FIG datasets and make RASS data available to a data fabric for wider consumption and processing within the company. Responsibilities include: Port existing data pipelines and make data available to an internal data fabric. Build new data acquisition and transformation pipelines using big data and cloud technologies. Work...

The Yield Book is a premier fixed income analytical system currently used by 82 of the top 100 fixed income money managers in the U.S. and other top-tier broker dealers’ sales, trading and research professionals. Institutional portfolio managers – investment advisors, insurance companies, banks and hedge funds – value The Yield Bookâ for the fast and broad access it provides to financial models, analytical tools and high-speed computation capabilities A subsidiary of LSEG, The Yield Book Inc product line includes The Yield Book, the Fixed Income Indices, and the Yield Book Excel Add-in, API and Calculator. For more information please visit  www.yieldbook.com . The Yield Book team in Buffalo, NY is looking to hire a Data Engineer to set up and maintain our Structured Products valuation parsing work. We are looking for someone who is motivated and driven. Willingness to learn is highly important for this position. Roles and responsibilities Able to extract raw text from...

We are  Ramp , a  well-funded scaleup  that makes the Web3 world a reality 🚀 Role Overview We are looking forward to meeting Data Engineer to cooperate on data migration and integration. As a new Data Team in Ramp, we are starting with data integration, sustainable Descriptive analytics and A/B testing. But we are rapidly moving towards Predictive and Prescriptive analytics. You will be working closely with the Product Team to make high-impact, data-informed decisions regarding future product development.   Your future work will include In general, technical support of data strategy implementation, in particular: Utilising best practices in Data Warehouse to reduce complexity and costs, using DBT, SQL, Python, Airflow, and GitHub on the Google Cloud Platform Ingesting data ingestions into the cloud data warehouse (BigQuery) Supporting of integration of different data sources (Google Analytics; transactional data; SFTP; public datasets using...

LSEG Labs LSEG Labs investigates the application of new technologies to LSEG financial products and services. Technologies we are investigating or actively using include financial NLP, machine learning and graph databases. The team itself is multi-disciplinary, comprising specialists in financial research, data science, software engineering and design. Product or Service Labs are involved in a large range of projects leveraging a multitude of different technologies so a successful candidate is unlikely to be assigned to a single product or service. Information about specific projects would be discussed in the course of the interview process. As a part of our growing Singapore Lab team of data scientists, engineers and UX/UI designers you will be part of our network of like-minded colleagues across Singapore and London Labs projects have recently included analytics based on equity sentiment, FX events, trading transaction costs and building a Custom...

Role Profile Responsible for mitigation of Regulatory and Operational risk across multiple proprietary surveillance platforms created internally. Key Responsibilities Conducts exploration and investigation of solutions, including utilising artificial intelligence Undertakes proof of concept design and development in order to create value for LSEG Extracts meaning from large scale, structured, unstructured and semi-structured data Recommends underlying data systems, including big data solutions, and data analytic tool sets Key Behaviours The ability to map a business requirement to known problems / come up with algorithms that are good and computationally efficient Translate technical findings to non-technical users and communicating using well-designed visualizations Receptive to change and new ways of thinking and is innovative Willingness to work within a team of people, is collaborative Ability to learn quickly and willingness to learn regulations and new technologies...

Design and develop new methodologies, quantitative models, analysis, and commentary (as relevant) that enhance existing or new processes. Maintain existing product performance and independent analysis standards. Internally, work with various departments to grow new ideas and expand the scope of existing products. Job Description · Data handling, data processing and programming · Support delivery of new or enhanced capabilities by defining requirements and/or leading projects · Translate business needs into solution requirements. Write functional and non-functional specifications · Propose and implement improvements to products and processes · Develop automated solutions for sourcing/loading fundamentals/OA data into database · Analyze Legal entity content to establish patterns/trends · Build extraction solutions based on different document formats · Develop, improve, and run quantitative models · Generate solutions through machine learning for core processes · Work...

Role Profile Responsible for mitigation of Regulatory and Operational risk across multiple proprietary surveillance platforms created internally. Key Responsibilities Conducts exploration and investigation of solutions, including utilising artificial intelligence Undertakes proof of concept design and development in order to create value for LSEG Extracts meaning from large scale, structured, unstructured and semi-structured data Recommends underlying data systems, including big data solutions, and data analytic tool sets Key Behaviours The ability to map a business requirement to known problems / come up with algorithms that are good and computationally efficient Translate technical findings to non-technical users and communicating using well-designed visualizations Receptive to change and new ways of thinking and is innovative Willingness to work within a team of people, is collaborative Ability to learn quickly and willingness to learn regulations and new technologies...

Department overview: The Market Intelligence RASS business line provides data technology and services supporting acquisition, ingestion, content management, mastering and distribution to power our Financial Institution Group business and customer needs.  Focus on platform scale to support business by following a common data lifecycle that accelerates business value. We provide essential intelligence for Financial Services, Real Estate and Insurance industries. Responsibilities: The FIG Data Engineering team will be responsible for implementing & maintaining services and/or tools to support existing feed systems which allows users to consume FIG datasets and make RASS data available to a data fabric for wider consumption and processing within the company. Responsibilities include: Port existing data pipelines and make data available to an internal data fabric. Build new data acquisition and transformation pipelines using big data and cloud technologies. Work...

With over 2,000 employees of more than 88 nationalities, Exness is the place for global teamwork, incredible leadership, a learning culture, and constant development. Unlimited by time zones, Exnessians from around the world have worked seamlessly together since 2008 to provide our traders with the best possible trading experience. Today, we stand proud with over 300,000 active traders and 2.5 trillion USD in monthly trading volume. Your role at Exness We are looking for an experienced data engineer who will join our Technology department Limassol, Cyprus, to be part of a team of more than 400 engineers that creates cutting-edge solutions and constantly raises the bar. We offer ambitious projects and tasks for developing our data platform. In addition to that, you will be a part of our friendly and professional team. You will: Assemble large, complex data sets that meet functional/non-functional business requirements (business cases). Prepare datasets...

Department overview: The Market Intelligence RASS business line provides data technology and services supporting acquisition, ingestion, content management, mastering and distribution to power our Financial Institution Group business and customer needs.  Focus on platform scale to support business by following a common data lifecycle that accelerates business value. We provide essential intelligence for Financial Services, Real Estate and Insurance industries. Responsibilities: The FIG Data Engineering team will be responsible for implementing & maintaining services and/or tools to support existing feed systems which allows users to consume FIG datasets and make RASS data available to a data fabric for wider consumption and processing within the company. Responsibilities include: Port existing data pipelines and make data available to an internal data fabric. Build new data acquisition and transformation pipelines using big data and cloud technologies. Work with the...

CoinFlip is a leading fintech company powered by cryptocurrency. Believing everyone deserves to participate in the new digital economy, the company operates one of the world’s largest networks of cryptocurrency ATMs — with over 4,000 active kiosks — as well as an over-the-counter trading desk. In 2022, CoinFlip became an international company by expanding into Canada , and launched CoinFlip Ventures , a new initiative designed to support start-up companies.  CoinFlip placed No. 60 on the 2021 Inc. 5000 list of the nation’s fastest-growing private companies. CoinFlip was also named the 2021 and 2022 #1 fastest-growing company in Chicago by Crain’s Business.  As our growth trajectory continues, we’re looking to quickly expand all of our teams. It’s an exciting time to join CoinFlip as we’re pursuing additional business lines and continued international expansion to further cement us as a leading financial technology company.  We are looking for a seasoned data...