Data Operations Engineer

At Optiver, technology and data are at the core of every trading decision we make. As a leading global market maker, we rely on accurate, reliable, and scalable data platforms to power our trading, research, and analytics systems in some of the world's fastest financial markets.

As a Data Operations Engineer, you'll join our Global Data Engineering team in Chicago, partnering closely with traders, researchers, and engineers to ensure our data platform operates reliably at scale. Combining software engineering with operational ownership, you'll troubleshoot production issues, onboard new datasets, improve platform reliability, and build the systems that keep our trading teams supplied with high-quality data every day.

As a Data Operations Engineer, your key responsibilities include:

Operational Ownership

• Serve as the primary point of contact for traders, researchers, and engineers on data platform issues and operational support

• Investigate and resolve data quality, freshness, and availability issues across business-critical datasets

• Monitor data ingestion pipelines, scheduled workflows, and real-time market data feeds, responding rapidly to alerts and minimizing production impact

• Partner directly with external data vendors to resolve upstream issues, manage specification changes, and ensure timely delivery of accurate datasets

• Communicate clearly during production incidents, providing timely updates and driving issues through to resolution

Engineering & Platform Reliability

• Integrate and operationalize new datasets, including schema mapping, normalization, historical backfills, and metadata management

• Design, build, and maintain reliable, scalable ETL/ELT pipelines supporting both real-time trading systems and research platforms

• Develop automated data quality validation, monitoring, and anomaly detection frameworks to proactively identify issues

• Model and normalize complex financial datasets to ensure they are accurate, consistent, and