Data Engineer, Technology

What you ’ll do

• Design, develop, and maintain robust data pipelines and ETL workflows in Databricks to support quantitative research, trading, and risk management.
• Collaborate closely with data scientists, analysts, and portfolio managers to understand data needs and deliver scalable data infrastructure.
• Ingest, process, and normalize large volumes of structured and unstructured financial data from a variety of sources.
• Optimize performance of data pipelines and ensure high availability, reliability, and data quality across all production systems.
• Implement data governance best practices, including data lineage, cataloging, auditing, and access controls.
• Support the integration of third-party data vendors and APIs into the broader data ecosystem.
• Continuously evaluate and implement new tools and technologies to improve data engineering capabilities, with a focus on cloud-native and distributed processing frameworks.

What’s required

We take care of our people

We invest in our people, their careers, their health, and their well-being. When you work here, we provide :

About Point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. t .

The annual base salary range for this role is $180,000-$225,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and / or skill level, among other things.