Data Platform Operations Engineer – Performance
At a glance
Mid-level Data Engineering role at IMC. Chicago · $185,000–$225,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Keep the Performance Team’s data platform dependable, checking pipeline outputs and delivery times as well as stability
- Set up performance-data checks, reports and alerts, then investigate faults until you find their underlying cause
- Resolve GitLab CI/CD workflow problems and address uneven resource use or compute bottlenecks
- Create operational tools, automation and runbooks, then improve pipeline speed and resource efficiency
What you bring
- At least three years in software or data engineering, with work focused on operating live systems
- Proficient in Python, with practical PySpark and Pandas use
- Have maintained live ETL or data-processing systems
- A computer science bachelor’s degree or related qualification is strongly preferred
Who this fits
This suits a hands-on engineer who takes responsibility for systems where reliability and performance matter. The role is based in Chicago and centers on production data workflows for the Performance Team.
From the employer
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
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 USDAbout 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.
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