3 months ago
Chicago, IL, USAMid Level
Base Salary
$185k - $225k/yr
Responsibilities
- Own the operational health, reliability, correctness, and performance of the Performance Team’s data platform.
- Monitor and maintain ETLs and data pipelines for correctness, timeliness, stability, and observability.
- Design and maintain data quality checks, reports, and alerting for performance data.
- Investigate and resolve data issues and pipeline failures while driving root-cause ownership.
- Troubleshoot GitLab CI/CD pipeline issues related to performance data workflows.
- Monitor workloads and resource usage, resolving imbalances and bottlenecks.
- Build and maintain operational tooling, automation, and runbooks.
- Tune data pipelines and workloads to improve performance and resource efficiency.
Requirements
- At least 3 years of software engineering or data engineering experience with an operational or production focus.
- 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, preferably GitLab.
- Strong analytical skills, attention to detail, and comfort owning work in a performance- and reliability-critical environment.
- Experience with performance-critical or high-throughput systems is a plus.
- Exposure to workload scheduling, resource management, or cluster-based compute is a plus.
Benefits
- Full-time permanent positions are eligible for a discretionary bonus.
- Benefits include paid leave and insurance.