Data Operations Engineer

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 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

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

At Optiver, our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilizing the market no matter the conditions. With a focus on continuous improvement, we prioritize safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe

Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.

Below is the expected base salary for this position. This is a good-faith estimate of the base pay scale for this position and offers will ultimately be determined based on experience, education, skill set, and performance in the interview process. This position will also be eligible for a discretionary bonus (if determined by Optiver) and Optiver’s benefits package with the benefits listed above.

Base Salary Range

$140,000—$200,000 USD