Data Engineer

JOB TITLE

Data Engineer

 

A CAreer with point72’S TECHNOLOGY TEAM

As Point72 continues to reimagine the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting and discovering new ways to provide exceptional end user experience while embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our team while satisfying your own intellectual curiosity.

Our Technology Infrastructure team engineers and operates the foundational technology platforms that power all of the firm’s applications and businesses. Our disciplines span a broad array of technologies from datacenter infrastructure to large scale cloud services, with the shared goal of providing the most reliable, performant, modern technology platforms to improve time-to-market for our business. We also deliver end-user technology solutions to support the evolving collaboration and productivity needs of our global teams. Our team focuses on innovation and challenging the current state of our infrastructure technology in a fast-paced, dynamic, and collaborative working environment

 

What you’ll do 

• Design, develop, and maintain robust data pipelines and ETL workflows in Databricks to play an essential role in the data engineering team to enable scalable and repeatable metrics and analytics. 

• Collaborate closely with other data scientists and investment analysts, to understand data needs and deliver scalable data pipelines and frameworks.

• Ingest, process, and normalize large volumes of structured and unstructured 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 

• Bachelor’s or Master’s degree in computer science, engineering
•  3–6 years of professional experience in data engineering or a similar role, ideally within a financial services. 
• Expertise in Databricks, including Spark (PySpark or Scala), Delta Lake, and notebook-based development workflows. 
• Proficiency in building scalable, distributed data pipelines in a cloud environment (preferably Azure or AWS). 
• Solid understanding of data architecture principles, data modeling, and data warehousing. 
• Experience with version control (e.g., Git), CI/CD workflows, and modern data orchestration tools (e.g., Airflow, dbt). 
• Demonstrated ability to work collaboratively in a fast-paced, high-stakes environment with both technical and non-technical stakeholders. 

• Commitment to the highest ethical standards

 

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. For more information, visit www.Point72.com.