Data Platform Operations Engineer - Performance

IMC Inc
United States
29 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$185,000.0 - $225,000.0
Working hours
Regular working hours
Job source

Tech stack

Continuous Integration Information Engineering Data Infrastructure Extract Transform Load (ETL) Data Systems Python (Programming Language) Software Engineering Data Processing Gitlab Git Pandas Pyspark
+3 more
Gitlab-ci Information Technology Data Pipelines

Job description

We are looking for a data-focused engineer with a strong operational focus to support the Performance Team’s data platform at IMC. This role is responsible for the reliability, correctness, and performance of data systems that directly support performance analysis and decision-making.

The role is production-facing and works closely with the Performance team and aligned stakeholders to ensure data workflows are robust, observable, and efficient.

What you’ll do:

  • Own the operational health of the Performance Team’s data platform
  • Monitor and maintain ETLs and data pipelines for correctness, timeliness, and stability
  • Design and maintain data quality checks, reports, and alerting specific to performance data
  • Investigate and resolve data issues and pipeline failures, driving problems to root cause
  • Own and troubleshoot GitLab CI/CD pipeline issues related to performance data workflows
  • Monitor workloads and resource usage; identify and resolve imbalances and bottlenecks
  • Build and maintain operational tooling, automation, and runbooks
  • Continuously tune data pipelines and workloads to improve performance and resource efficiency

Requirements

  • 3+ years of experience in software engineering or data engineering with an operational or production focus
  • A Bachelor’s Degree in Computer Science or a related field is strongly preferred
  • Proficiency in Python, with hands-on experience using PySpark and Pandas
  • Experience supporting production ETL or data processing systems
  • Familiarity with Git-based development workflows and CI/CD systems (GitLab preferred)
  • Strong analytical skills and attention to detail
  • Comfortable taking ownership in a performance- and reliability-critical environment

Nice to Have

  • Experience working with performance-critical or high-throughput systems
  • Exposure to workload scheduling, resource management, or cluster-based compute

Benefits & conditions

What Success Looks Like

  • Performance data pipelines are reliable, observable, and trusted
  • Issues are detected early and resolved quickly with clear root-cause ownership
  • Workloads are well-balanced and systems run efficiently
The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US IMC Trading for more comprehensive information.

Salary Range

$185,000-$225,000 USD

About the company

IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

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