Senior Data Engineer, Proprietary Research

Location: New York

ABOUT PROPRIETARY RESEARCH On our proprietary research team—Market Intelligence—you’ll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our industry researchers, product managers, and data scientists and engineers work together to build compliant research products that answer the questions our investment professionals care about most.

We look for other bright, motivated, and collaborative people to join our team and grow with us—more than 90% of the leaders in our group were promoted from within.

WHAT YOU'LL DOSenior Data Engineers on the Proprietary Research team design and build solutions that enable investment professionals to effortlessly extract insights from large, complex structured and unstructured data sets. As a senior member of our Data Engineering team, you will help set technical direction and work closely with investment professionals, researchers, and data scientists to design, build, and launch robust end-to-end data pipelines and tools that that help extract the most value out of Point
72’s data assets. In this role, you will:

Develop and support big data processing pipelines including but not limited to ingestion, transformation, and end-customer delivery

Build out cloud-based infrastructure using distributed techniques for other data engineers / data scientists / researchers

Be at the forefront of new technology developments with respect to the handling and processing of big data and conduct proof of concepts evaluations of new technologies

Build and support visualization and exploration capabilities around our big data setsWHAT EXCITES YOU Technical leadership through hands-on development

Having a broad impact on architecture and team processes

Transforming large unstructured, data sets into valuable investment research inputs

Learning and working with industry-leading cloud-computing technologies

Speaking with experts both inside and outside the firm to understand data needs and offerings

Fast-paced work environments that at times require switching gears to address the needs of the business

Working as part of a cross-functional team made up of Investment, Research, and Compliance professionals WHAT EXCITES USAbility to directly or indirectly lead development efforts involving multiple engineers and stakeholders

Excellent attention to detail, organization, and project management skills

Superb business intuition and a solution orientated, methodological approach to problem solving

Ability to collaborate and build relationships across multiple business units within the firm People who “elevate the room” through their work ethic, curiosity, and solution-orientated attitude

Adherence to the highest ethical standards working closely with the firm’s Compliance teamWHAT’S REQUIRED 5+ years of experience in Data Engineering or related development work with distributed data technology

Experience with system design and leading multi-person development efforts

Strong experience in Python development

Experience with Spark and Cloud computing is a plus Track record of delivering novel and innovative solutions to challenges

Knowledge of/experience with graph databases is a plusWHAT SUCCESS LOOKS LIKEIntegrity – You demonstrate 100% commitment to the highest ethical standards

Ownership – You take charge of your work, uphold your commitments, and always do your best Commerciality – You focus on what matters, ask necessary questions, and are diligent about not wasting time Humility – You welcome and are receptive to…