We're looking for a curious Database Engineer or Database administrator to join the team at FinQuery. You should be comfortable with schema design, indexing, and query tuning. Beyond the technical foundation, we're looking for someone with a genuine willingness to learn and the drive to keep growing. We also care deeply about engineers who treat AI tools as part of their daily workflow, not an afterthought. Whether you built those habits through a job, coursework, side projects, or self-study, we'd love to talk.
We run Agile with Kanban, and we believe in continuous improvement in our systems, our tools, and how we work together. In this role, you'll get hands-on with PostgreSQL administration on AWS, work through real query performance problems, and help build infrastructure to scale alongside a growing company. You'll be doing all of this with a team actively using AI-driven approaches to make the work faster and smarter. Fresh graduates are welcome to apply. If you have a solid academic background in databases or data engineering, a genuine interest in AI-powered workflows, and the drive to grow alongside a supportive team, we want to hear from you.
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:
- 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
- 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
Preferred Qualifications
Tech You'll Work With
Skills Required
- Comfortable with schema design, indexing, and query tuning
- Administer and monitor PostgreSQL databases on AWS (RDS/Aurora)
- Familiarity with SQL
- Foundation in designing, building, and scaling databases (professional, academic, or personal experience)
- Comfort using AI assistants, copilots, and LLM-powered tools as part of daily workflows
- 1+ years in a data/database engineer or DBA role
- 3+ years 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
- Familiarity with Python and shell scripting
- Experience or familiarity with data integration and warehouses (Snowflake, FiveTran, Celigo, Boomi)
- Experience with CI/CD and infra-as-code tooling (GitHub Actions, Terraform, Liquibase, Jenkins)
- Familiarity with monitoring and analytics tools (DataDog, Tableau)
What We Do
We're FinQuery, and we're here to help you manage your finances in a whole new way. More than 36,000 professionals rely on FinQuery to make better business and financial decisions for their largest areas of spend - leases, software subscriptions, and financial contracts - something no other provider offers in the market. Our award-winning AI-powered software helps businesses minimize risk, increase efficiency, and reduce costs. And what makes it truly intelligent? We let you do it all on one platform. FinQuery gives you the power of total visibility, so that Finance and Accounting can simplify accounting, forecast accurately, and budget confidently. And the IT department can clearly see and manage the company’s software stack with actionable insights, smart automation, and helpful tools. You’ll see the most where you’re spending the most.
