Data/Automation Engineer
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About the role
Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser. We are seeking a Data/Automation Engineer to partner closely within our Fixed Income Operations Team to design, build, and scale internal tools, dashboards, and automation workflows. This role sits at the intersection of engineering, data, and business operations, with a focus on improving efficiency, visibility, and decision-making across the firm. Job Responsibilities: Build and maintain internal dashboards, portals, and GUI-based tools for trading and operations teams Develop automation solutions to streamline manual workflows and improve operational efficiency Work directly with business stakeholders to translate requirements into technical solutions Design and manage data pipelines and reporting systems using SQL and Python Contribute to full-stack development (front-end interfaces + backend systems) Partner with Operations to identify opportunities for process improvement and automation Ensure data accuracy and integrity across financial and operational reporting
Requirements
- Degree in Computer Science, MIS, or similar
- 5+ years of experience in software engineering or related roles
- Strong proficiency in:
- SQL (data querying, transformation, reporting)
- Python (scripting, automation, data workflows)
- C# (or similar backend language)
- Experience building full-stack applications , including dashboards, portals, or internal tools
- Ability to work cross-functionally with non-technical stakeholders
- Strong problem-solving skills and a bias toward automation and efficiency
- Experience in banking, financial services, or proprietary trading environments
- Familiarity with financial products , particularly:
- Bonds
- Futures
- Exposure to trading or operations workflows
- Basic understanding of accounting principles (e.g., P&L, reconciliations, reporting)
- Experience working with real-time or high-volume data environments
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