About the Company
Founded two decades ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people across North America, Europe and Asia. Since becoming an independent proprietary trading firm in 2016, DV Trading has scaled rapidly using its own capital, strategies and risk management to provide liquidity to markets worldwide. DV Group affiliates today include two broker-dealers, a cryptocurrency market maker and a growing investment adviser.
DV Equities is the group's Asia-Pacific equities and futures market-making business, trading cash equities, ETFs, index futures and related products on exchanges across the region.
Overview
We are looking for a Data Engineer to build and maintain the data infrastructure that powers our trading, research, and risk systems. You will work closely with quantitative researchers, traders, and software engineers to ensure that large-scale market data is clean, reliable, and easily accessible for both real-time trading and historical analysis. This is a hands-on role for someone who enjoys solving data problems in a fast-paced, collaborative environment.
Key Responsibilities
- Design, build, and maintain scalable data pipelines for ingesting, processing, and storing large volumes of market and trading data
- Clean, validate, and enrich raw data to ensure high quality and consistency for research and production use
- Optimize data storage, query performance, and processing workflows to support low-latency and high-throughput requirements
- Collaborate with quantitative researchers and traders to understand data needs and deliver efficient data solutions
- Work with software engineers to integrate data pipelines into the firm's trading and research infrastructure
- Monitor data quality and pipeline health, troubleshoot issues, and implement improvements
- Document data flows, schemas, and processes to support team collaboration and knowledge sharing
Qualifications & Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field
- Strong proficiency in Python and SQL for data processing and analysis
- Experience with data pipeline tools and frameworks (e.g., Airflow, Kafka, Spark, or similar)
- Familiarity with relational and non-relational databases, as well as data lake/warehouse technologies
- Solid understanding of data modeling, ETL/ELT processes, and data quality best practices
- Experience working with large-scale datasets and optimizing performance
- Strong problem-solving skills and attention to detail
- Ability to communicate clearly and collaborate effectively with both technical and non-technical teams
- Experience in financial markets or trading data is a plus
DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV's posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV.
About DV Trading
DV Trading, founded in 2006 in Chicago as DV Group, is a proprietary trading firm active in commodities, equities and crypto via DV Chain, its institutional crypto desk providing liquidity and OTC services. With 400+ employees across Chicago, New York and London, DV combines market making, systematic strategies and venture via DV Crypto. Candidates need strong quantitative reasoning, risk discipline and interest in 24/7 crypto markets. DV Chain and DV Trading deploy proprietary quantitative algorithms and automated market making infrastructure to supply 24/7 liquidity across digital asset markets. DV Trading brings quantitative risk management and deep liquidity provisioning across spot markets, futures exchanges, and decentralized finance protocols.