Data Engineer (DV Equities) at DV Trading LLC

<p data-renderer-start-pos="1" data-local-id="5d6d5c6caa36"><span style="font-size: 12pt;"><strong data-renderer-mark="true">About Us</strong>:</span></p> <p data-renderer-start-pos="1" data-local-id="5d6d5c6caa36"><span style="font-size: 12pt;">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.</span><br><span style="font-size: 12pt;">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.</span></p> <p data-renderer-start-pos="641" data-local-id="3db7b8c101de"><span style="font-size: 12pt;"><strong data-renderer-mark="true">Overview: </strong></span></p> <p data-renderer-start-pos="641" data-local-id="3db7b8c101de"><span style="font-size: 12pt;" data-highlighted="true" data-vc="highlighted-text">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.</span></p> <p data-renderer-start-pos="706" data-local-id="6d17a07f558d"><span style="font-size: 12pt;"><strong data-renderer-mark="true">Responsibilities:</strong></span></p> <p data-renderer-start-pos="729" data-local-id="9ad0b6038594"><span style="font-size: 12pt;"></span></p> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Design, build, and maintain scalable data pipelines for ingesting, processing, and storing large volumes of market and trading data</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Clean, validate, and enrich raw data to ensure high quality and consistency for research and production use</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Optimize data storage, query performance, and processing workflows to support low-latency and high-throughput requirements</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Collaborate with quantitative researchers and traders to understand data needs and deliver efficient data solutions</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Work with software engineers to integrate data pipelines into the firm's trading and research infrastructure</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Monitor data quality and pipeline health, troubleshoot issues, and implement improvements</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Document data flows, schemas, and processes to support team collaboration and knowledge sharing</span></li> </ul> <p data-renderer-start-pos="729" data-local-id="9ad0b6038594"><span style="font-size: 12pt;"></span></p> <p data-renderer-start-pos="731" data-local-id="db73e6d3f6c4"><span style="font-size: 12pt;"><strong data-renderer-mark="true">Requirements:</strong></span></p> <p data-renderer-start-pos="731" data-local-id="db73e6d3f6c4"><span style="font-size: 12pt;"><strong data-renderer-mark="true"></strong></span></p> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Strong proficiency in Python and SQL for data processing and analysis</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Experience with data pipeline tools and frameworks (e.g., Airflow, Kafka, Spark, or similar)</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Familiarity with relational and non-relational databases, as well as data lake/warehouse technologies</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Solid understanding of data modeling, ETL/ELT processes, and data quality best practices</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Experience working with large-scale datasets and optimizing performance</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Strong problem-solving skills and attention to detail</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Ability to communicate clearly and collaborate effectively with both technical and non-technical teams</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Experience in financial markets or trading data is a plus</span></li> </ul> <p data-renderer-start-pos="731" data-local-id="db73e6d3f6c4"><strong data-renderer-mark="true"></strong></p> <p><em data-renderer-mark="true"><span data-highlighted="true" data-vc="highlighted-text">DV</span> is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with <span data-highlighted="true" data-vc="highlighted-text">DV</span> should submit resumes in response to <span data-highlighted="true" data-vc="highlighted-text">DV</span>’s posted positions. All resumes submitted by search firms to <span data-highlighted="true" data-vc="highlighted-text">DV</span> via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of <span data-highlighted="true" data-vc="highlighted-text">DV</span>, and no fee will be paid in the event the candidate is hired by <span data-highlighted="true" data-vc="highlighted-text">DV</span>. <span data-highlighted="true" data-vc="highlighted-text">DV</span> is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.</em></p>