Data Operations Engineer

Optiver • Chicago, IL

12h • $140,000 - $200,000 • Onsite

About The Position

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.

Requirements

• 3+ years of experience as a Data Engineer, Data Operations Engineer, Software Engineer, Site Reliability Engineer, or similar role in a high-performance or mission-critical environment
• 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
• Strong operational mindset with a passion for ownership, troubleshooting, automation, and continuous improvement
• Excellent communication and collaboration skills, with the ability to partner effectively with traders, researchers, engineering teams, and external data vendors
• Legal authorization to work in the U.S. is required; we will not sponsor individuals for employment authorization for this role

Nice To Haves

• Experience with modern lakehouse technologies such as Delta Lake, Databricks, or cloud-based data platforms is preferred
• Exposure to real-time and historical financial market data (such as equities, ETFs, fixed income, or credit) is advantageous

Responsibilities

• 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
• 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 production-ready
• Build and maintain high-performance APIs that expose market and reference data to trading, research, and analytics platforms
• Partner closely with traders, researchers, and engineering teams to understand evolving data requirements and deliver scalable solutions
• Contribute to the ongoing evolution of Optiver's global data platform, improving reliability, observability, and operational excellence

Benefits

• Highly competitive compensation package including performance-based bonus structure
• 401(k) matching up to 50%
• Comprehensive medical, dental, vision, disability, life, and mental health coverage
• 25 paid vacation days alongside market holidays
• Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues, and more

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed