Data Platform Operations Engineer – Performance

IMC Trading

Chicago, United States
Base: $185,000 - $225,000 usd; bonus/equity: discr...
On-site
Python, pyspark, pandas proficiency
Etl and data pipeline support
Gitlab ci/cd troubleshooting
Own the operational health of the Performance Team’s data platform, ensuring reliability, correctness, and performance

Job Summary

  • Own the operational health of the Performance Team’s data platform, ensuring reliability, correctness, and performance.
  • Monitor and maintain ETLs and data pipelines for correctness, timeliness, and stability, investigating and resolving issues to root cause.
  • Build and maintain operational tooling, automation, and runbooks, continuously tuning data pipelines and workloads for improved performance and resource efficiency.

Matching Summary

Own the operational health of the Performance Team’s data platform, ensuring reliability, correctness, and performance.

Salary

Base: $185,000 - $225,000 USD; Bonus/Equity: Discretionary bonus; Benefits: Paid leave and insurance

Skills & Requirements

Must-have

  • Python, PySpark, Pandas proficiency
  • ETL and data pipeline support
  • GitLab CI/CD troubleshooting
  • Data quality checks and alerting
  • Performance and reliability critical environment

Nice-to-have

  • Performance-critical systems experience
  • High-throughput systems experience
  • Workload scheduling and resource management

Key Requirements

  • 3+ years software/data engineering experience
  • Bachelor's Degree in Computer Science preferred
  • Experience with production ETL/data processing
  • Familiarity with Git-based workflows and CI/CD

Work Rights

Not specified

Tailored Resume

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