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DV Trading

Database Engineer

ChicagoFrom $150kmidAdded today

About this role

Join a Chicago-based financial services firm as a Database Operations Engineer, supporting critical database infrastructure for a proprietary trading and investment company. You'll monitor database health, perform routine maintenance, troubleshoot incidents, and grow your DBA skills alongside experienced professionals in a fast-paced trading environment.

What you'll do

  • Monitor database health, performance, and availability across production environments
  • Execute routine maintenance tasks including backups, restores, patching, and user access management
  • Troubleshoot and resolve database incidents with senior team support
  • Write and optimize SQL queries for data retrieval, reporting, and operational troubleshooting
  • Develop documentation, runbooks, and automation scripts to improve operational efficiency
  • Participate in on-call rotation and assist with data migration and disaster recovery testing

What they're looking for

  • SQL query writing and optimization
  • Relational database concepts (indexing, normalization, query performance)
  • Experience with PostgreSQL, SQL Server, or MySQL
  • Scripting languages (Bash, PowerShell, or Python)
  • Linux and Windows operating systems administration
  • Database backup/recovery and monitoring tools
  • Git version control
  • Problem-solving and attention to detail

Benefits

  • Discretionary bonus eligibility
  • Medical, dental, and vision insurance
  • HSA and FSA programs
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DV Trading

DV Trading is a proprietary trading firm that develops high-performance, low-latency algorithmic trading platforms and systems. They are hiring software developers to build and optimize trading technology, as well as trade support engineers to monitor platforms, manage infrastructure, and support traders across their operations.

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Likely interview questions

  • Tell us about your experience with database platforms like PostgreSQL, SQL Server, or MySQL—what maintenance tasks have you performed?
  • Describe a time you identified and resolved a database performance issue. What tools or methods did you use?
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