Data Operations Engineer

Posted today

optiverChicago (IL)

Data Warehousing Specialists Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

SENIORITY

Senior

SALARY

$140,000—$200,000

Apply

About the role

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.

What you'll do:

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 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 coverage25 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

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.