Optiver
Data Operations Engineer
$140K–$200K
Chicago, Illinois, United States · Full-time · Posted Oct 7, 2026
- Experience
- 3+ years as a Data Engineer, Data Operations Engineer, Software Engineer, Site Reliability Engineer, or similar role in a high-performance or mission-critical environment.
- Visa sponsorship
- Legal authorization to work in the U.S. is required; Optiver will not sponsor individuals for employment authorization for this role.
About the job
Operates and improves Optiver’s data platform, resolving production issues and building reliable pipelines and APIs that deliver high-quality data to trading, research, and analytics teams.
What you'll do
- Troubleshoot data quality, freshness, availability, and pipeline issues; monitor workflows and market data feeds and coordinate incident resolution.
- Integrate new datasets and build scalable ETL/ELT pipelines, data validation, monitoring, and anomaly detection.
- Build and maintain APIs and improve platform reliability, observability, and operational excellence.
What they ask for
- Strong Python programming skills, including experience with libraries such as Pandas, PyArrow, and Spark.
- Experience building and maintaining scalable data pipelines, APIs, and data processing systems.
- Strong understanding of data modeling, normalization, and data quality best practices.
- Legal authorization to work in the U.S.; employment authorization sponsorship is not available.
Nice to have
- Experience with modern lakehouse technologies such as Delta Lake, Databricks, or cloud-based data platforms.
- Exposure to real-time and historical financial market data, such as equities, ETFs, fixed income, or credit.
Pay
$140,000 — $200,000 USD (base salary)
Tools
Python, Pandas, PyArrow, Spark, Delta Lake, Databricks
Model-written summary · the original posting is authoritative