DRW
Financial Services
EquitiesDataEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Equities Data Engineer at DRW. Skills: Data engineering, Data pipelines, Financial data. Partner with traders, researchers, and analysts to deliver. Build resilient pipelines for cleaning, validating, and transforming”
Industry & Context.
Anomaly detection; Troubleshooting
What They're Looking For.
Must Have
Over five years of experience designing ingestion pipelines, Experience processing real-time and batch financial market data, Proven ability to work in an agile, fast-paced environment, Handle trading environment demands, Understanding of financial point-in-time and time-series data and analysis, Proven expertise in developing data quality control processes, Experience with monitoring, observability, and alerting systems for data pipelines, Competent in on-premise Linux systems, Competent in cloud platforms, Proficient in automated testing, Proficient in CI/CD practices, Proficient in MLOps, Well-versed in compressed and optimized file formats, Experience with Parquet, Experience with Iceberg
Nice to Have
Familiarity with equities, equity indices, futures, or delta one trading data preferred
What You'll Do.
and analysts to deliver
Build resilient pipelines for cleaning
Automate resilient pipelines for cleaning
Maintain resilient pipelines for cleaning
Develop observability tools for pipeline reliability and performance
Develop monitoring tools for pipeline reliability and performance
Develop alerting tools for pipeline reliability and performance
Optimize tiered data storage
Optimize elastic processing
Enforce data governance standards
Enforce data controls
Enforce data security standards
Implement data quality frameworks
Detect staleness in data
Detect corporate action inconsistencies
Detect market data inconsistencies
Maintain point-in-time correctness across datasets
Ensure reproducibility of signals
Ensure reproducibility of backtests
Collaborate with platform/infrastructure teams to productionize pipelines
Improve runtime efficiency
Meet latency requirements
Meet availability requirements
How You'll Work.
Team & Collaboration
With traders; With researchers; With quantitative developers; With platform teams; With infrastructure teams
Process & Methodology
Agile
Full Job Description
DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. We are seeking an Equities Data Engineer to join the MASS (Multi-asset Systematic Strategies) trading team. In this role, you will be responsible for onboarding, transforming, and managing diverse financial datasets. You will collaborate closely with traders, researchers, and quantitative developers to analyze equity and futures data, identify alphas, and develop global delta-one trading strategies. Key Responsibilities: Partner with traders, researchers, and analysts to deliver well-structured data that powers trading strategies, predictive models, and AI/ML applications. Build, automate, and maintain resilient pipelines for cleaning, validating, and transforming batch and streaming data that feed into medallion architectures. Develop observability, monitoring, and alerting tools to provide complete visibility into pipeline reliability and performance. Optimize tiered data storage and elastic processing across on-prem, cloud, and hybrid environments to ensure scalable and cost-effective solutions. Enforce data governance, controls, and secu
Applying for this Equities Data Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Greenhouse
- Create a Greenhouse profile before applying — it saves time across multiple applications.
- Upload your resume as a PDF; the parser handles it better than Word.
- Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
- Enable email notifications to track application status in real time.
ANONYMOUS · UNFILTERED
What do employees actually say about DRW?
Real rants from real employees. Read before you apply.