Data Platform Operations Engineer - Performance
- Pay
- $185,000 – $225,000 per year
- Location
- Chicago, IL · On-site
- Job type
- Full-time
- Level
- Mid-level
- Experience
- 3+ years
- Education
- Bachelor's degree
- Listed
- 30 days ago
Skills & highlights for this role
- Python
- PySpark
- Pandas
- ETL pipeline operations
- GitLab CI/CD
Also useful
- Git-based workflows
- cluster-based compute
- workload scheduling
Stated benefits & perks
- Insurance
About the role
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.
Your Core Responsibilities
- 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
Your Skills & Experience
- 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
- Experience working with performance-critical or high-throughput systems
- Exposure to workload scheduling, resource management, or cluster-based compute
Pay and benefits
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.
About Us
IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.
From IMC's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
What is the salary for the Data Platform Operations Engineer - Performance role at IMC?
The Data Platform Operations Engineer - Performance posting at IMC states compensation of $185,000 – $225,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on IMC's official career site.
Where is the Data Platform Operations Engineer - Performance job at IMC located?
This Data Platform Operations Engineer - Performance position at IMC is located in Chicago, IL (On-site). Always check IMC's application page for specific state eligibility or relocation policies.
What qualifications are required for Data Platform Operations Engineer - Performance at IMC?
For the Data Platform Operations Engineer - Performance role, IMC highlights 3+ years of relevant experience; a bachelor's degree; experience with Python, PySpark, Pandas, ETL pipeline operations, GitLab CI/CD. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Data Platform Operations Engineer - Performance position at IMC?
This listing links directly to IMC's Greenhouse application page. You can apply directly on IMC's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.