Database Engineer / Database Administrator

FinQuery stands at the forefront of accounting automation, driven by a deep specialty in contract-driven accounting. Our AI-enabled platform transforms how controllers and finance teams operate, seamlessly managing and accounting for the complex financial contracts—like leases, prepaids, and accruals—that are the backbone of modern business. We are not just a software provider; we are the unified subledger that eliminates time-intensive, error-prone technical accounting workflows, ensuring financial reports are accurate and empowering our customers to focus on strategic, high-value tasks.

FinQuery is the global leader in lease accounting (as recognized on G2.com) and serve more than 8,500 customers worldwide. Our growth trajectory has been consistently validated by the Inc 5000, which has recognized us as one of the fastest-growing private companies for five consecutive years.

How You'll Make an Impact

• Help administer and monitor AWS PostgreSQL databases, picking up best practices for reliability and performance along the way
• Work alongside senior engineers to spot performance issues and find tuning opportunities
• Collaborate daily with development teams and other departments since communication is a big part of this job
• Review developer-driven data architecture changes and share feedback, with guidance from senior team members
• Dig into query performance problems and grow your skills in database optimization
• Take part in release and deployment processes, getting real exposure to production workflows
• Contribute to internal improvements like automating manual tasks, speeding up data delivery, and supporting infrastructure growth
• Use AI agents, LLM-powered tools, and automation to handle routine work like query analysis, schema reviews, documentation, and troubleshooting more efficiently
• Keep RDS systems running well day to day
• Help assess and improve data schemas for efficiency by reviewing indices, spotting redundant columns, and evaluating table structures
• Stay curious, research new technologies, propose AI-driven solutions, and bring ideas to make our systems and team more productive
• A solid foundation in relational databases and data architecture built through professional work, school projects, internships, or personal exploration
• Experience or strong academic exposure to designing, building, and scaling databases
• Familiarity with SQL and a real interest in going deeper with PostgreSQL and cloud database services
• Comfort using AI assistants, copilots, and LLM-powered tools as a core part of how you work, not a novelty you try occasionally
• A team-first mindset where success is defined by what we accomplish together
• A proactive, curious attitude and a genuine desire to keep learning

The Expertise You'll Bring

Preferred Qualifications

• 1 or more years of experience in a data/database engineer or DBA role
• 3 or more years of experience working with databases and data architectures in any IT capacity
• Hands-on experience with AWS RDS or Aurora
• Demonstrated use of AI agents or LLM-powered tools to do technical work more efficiently

Tech You'll Work With

• Hosting & Administration: AWS RDS and Aurora
• Database Systems: PostgreSQL and MS SQL Server
• Languages: SQL, Python, and Shell Scripting
• AI & Agentic Tools: LLM-powered assistants like Claude and GitHub Copilot, alongside AI-driven automation workflows
• Data Warehouses & Integration: Snowflake, FiveTran, Celigo, and Boomi
• Build & Deployment: GitHub Actions, Terraform, Liquibase, and Jenkins
• Analytics & Logging: DataDog and Tableau
• Communication: Atlassian Jira and Slack