Overview
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, cor
Full 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 What you bring: 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 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 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.
Tips for this job
Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.
- Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
- Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
- Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
- Apply through the original employer or official recruitment destination shown on this page.
Verification notes
laptop-ats-crawler v2
Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
Imc (greenhouse) ↗Browse current Job and Scholarship listings from Imc (greenhouse) →