Senior Data Engineer, Unified Platform

DRW

Chicago, United States
Base: $200,000 to $250,000; bonus: annual discreti...
On-site
7+ years experience with modern data technologies
Expert in sql and java or python
Experience designing batch and streaming data pipelines
The Senior Data Engineer will play an integral role in bringing vendor datasets into the firm's unified data platform while governing centralized data pipelines

Job Summary

  • The Senior Data Engineer will play an integral role in bringing vendor datasets into the firm's unified data platform while governing centralized data pipelines.
  • This position requires owning the delivery of data products and working closely with traders, quantitative researchers, and back-office personnel to utilize platform tools effectively.
  • The company offers a comprehensive benefits suite including medical insurance, 401k with discretionary match, and an annual discretionary bonus alongside a base salary ranging from $200,000 to $250,000.

Matching Summary

The Senior Data Engineer will play an integral role in bringing vendor datasets into the firm's unified data platform while governing centralized data pipelines.

Salary

Base: $200,000 to $250,000; Bonus: Annual discretionary bonus eligible; Benefits: Group medical, dental, vision, 401k with match, disability, life insurance

Skills & Requirements

Must-have

  • 7+ years experience with modern data technologies
  • Expert in SQL and Java or Python
  • Experience designing batch and streaming data pipelines
  • Extensive knowledge of data modeling techniques
  • Experience with data processing technologies like Flink or Spark
  • Experience managing data pipeline orchestration systems

Nice-to-have

  • Strong written and verbal communication skills
  • Ability to work in a fast-paced trading environment
  • Proven ability to deliver rapid results across stakeholders
  • Experience driving nontrivial data migrations
  • Willingness to challenge consensus and innovate

Key Requirements

  • 7+ years of experience building data-first products
  • Extensive familiarity with SQL and Java or Python
  • Experience with multiple data storage technologies
  • Experience managing operational aspects of large data pipelines

Work Rights

Not specified

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