> Markdown version of [/jobs/ext/81230-data-engineer-proprietary-research](https://www.wearedevelopers.com/jobs/ext/81230-data-engineer-proprietary-research). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer, Proprietary Research - **Company:** POINT72, L.P. - **Location:** New York, United States - **Experience:** Expert - **Salary:** $250,000.0 - $300,000.0 - **Contract:** Permanent contract - **Skills:** Big Data, Cloud Computing, Information Engineering, Digital Assets, Distributed Data Store, Graph Database, Python (Programming Language), Cloud Platform System, Apache Spark, Build Management, Semi-structured Data, Data Pipelines - **Published:** May 19, 2026 - **Apply:** https://www.dice.com/job-detail/57b54858-bb70-42fc-a65b-c43a2d8d48bb ## About the Role * Ability 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 team, * 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 plus, * Integrity - 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 feedback and learn from past mistakes * Adaptability - You can triage business needs and context switch quickly and efficiently * Admirability - You elevate the room through your work ethic, domain knowledge, and work product ## Description Senior 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 Point72'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 sets WHAT 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 ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Tokenization of Everything: Where the Real World Meets Blockchain](https://www.wearedevelopers.com/videos/1035-tokenization-of-everything-where-the-real-world-meets-blockchain) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Let's Get Aggregated: Custom UDAFs in Spark ](https://www.wearedevelopers.com/videos/1649-let-s-get-aggregated-custom-udafs-in-spark) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j)