Senior Data Engineer, Proprietary Research — Data Pipelines

Point72; New York (NY); On-site; USD 250,000 - 300,000; Full time

Benefits offered by this job

Health benefits

Parental leave

Wellness programs

Volunteer opportunities

401(k) match

Job summary

Point72 is seeking a Senior Data Engineer for Proprietary Research in New York. You will design and build end-to-end data pipelines, work with investment professionals, researchers, and data scientists, and contribute to scalable data infrastructure.

You will lead efforts, evaluate new technologies, and prioritize robust, compliant data solutions in a fast-paced, cross-functional environment. This role emphasizes data processing, cloud systems, and research-grade data products.

Qualifications

• 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

Responsibilities

• Develop and support big data processing pipelines including 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

Skills

Python

Spark

Cloud computing

Data engineering

Distributed data

Technical leadership

Tools

Graph databases

Job description

Point72 is seeking a Senior Data Engineer for Proprietary Research in New York. You will design and build end-to-end data pipelines, work with investment professionals, researchers, and data scientists, and contribute to scalable data infrastructure.

You will lead efforts, evaluate new technologies, and prioritize robust, compliant data solutions in a fast-paced, cross-functional environment. This role emphasizes data processing, cloud systems, and research-grade data products.