Data Operations Engineer

Who you are

• 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
• 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
• 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

Who we are

Preferred Qualifications

• Experience with modern lakehouse technologies such as Delta Lake, Databricks, or cloud-based data platforms is preferred

Responsibilities

• As a Data Operations Engineer, your key responsibilities include:
• 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
• What you'll get
• You'll join a culture of collaboration and excellence, surrounded by curious thinkers and creative problem-solvers. Motivated by continuous improvement, you'll thrive in a supportive, high-performing environment alongside talented colleagues while solving some of the toughest data engineering challenges in the financial markets.
• In addition, you'll receive:
• The opportunity to work alongside best-in-class professionals from over 40 different countries
• 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