Data Platform Operations Engineer – Performance
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Before you apply
Salary$185k – $225k
LocationChicago, United States
Work modeon-site
Typefull-time
SeniorityMid
Experience3+ yrs
DepartmentDevelopment (Group)
Company size1,001–5,000 people
PostedApr 8, 2026 · 7mo ago
Verified live17h ago
May no longer be actively hiring
Posted by the company on Apr 8, 202658% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
3+ years of experience in software engineering or data engineering with an operational or production focus
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
Skills
Python
PySpark
Pandas
GitLab CI/CD
Benefits
Health insurance
Paid leave
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
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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
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Investigate and resolve data issues and pipeline failures, driving problems to root cause
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Own and troubleshoot GitLab CI/CD pipeline issues related to performance data workflows
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Monitor workloads and resource usage; identify and resolve imbalances and bottlenecks
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Build and maintain operational tooling, automation, and runbooks
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Continuously tune data pipelines and workloads to improve performance and resource efficiency
Your Skills & Experience:
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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
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.
Salary Range
$185,000—$225,000 USD
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.