Data Engineer, Technology

Point72

New York, NY, USA
Base: $180,000-$225,000; bonus/equity: discretiona...
On-site
Databricks, spark, delta lake
Cloud data pipelines (azure/aws)
Python and sql proficiency
Design, develop, and maintain robust data pipelines and ETL workflows in Databricks to support quantitative research, trading, and risk management

Job Summary

  • Design, develop, and maintain robust data pipelines and ETL workflows in Databricks to support quantitative research, trading, and risk management.
  • Ingest, process, and normalize large volumes of structured and unstructured financial data from a variety of sources.
  • The company offers fully paid health care benefits, generous parental and family leave policies, and mental and physical wellness programs.

Matching Summary

Design, develop, and maintain robust data pipelines and ETL workflows in Databricks to support quantitative research, trading, and risk management.

Salary

Base: $180,000-$225,000; Bonus/Equity: discretionary bonus compensation; Benefits: comprehensive benefits package

Skills & Requirements

Must-have

  • Databricks, Spark, Delta Lake
  • Cloud data pipelines (Azure/AWS)
  • Python and SQL proficiency
  • Data architecture and modeling
  • Version control and CI/CD

Nice-to-have

  • Financial services experience
  • High-performance computing environment
  • Collaborative stakeholder engagement
  • Intellectual curiosity
  • Agile methodology

Key Requirements

  • 3–6 years of professional experience
  • Bachelor’s or master’s degree in computer science or related field
  • Must commit to highest ethical standards

Work Rights

Not specified

Tailored Resume

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