Database Engineer / Database Administrator
Administer and optimize AWS PostgreSQL databases, tune queries, and improve data schemas while using AI tools for daily workflows.
How You'll Make an Impact
- Help administer and monitor AWS PostgreSQL databases, picking up best practices for reliability and performance
- Work alongside senior engineers to spot performance issues and find tuning opportunities
- Collaborate daily with development teams and other departments
- Review developer-driven data architecture changes and share feedback
- Dig into query performance problems and grow skills in database optimization
- Take part in release and deployment processes
- 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 systems and team more productive
The Expertise You'll Bring
- 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
- A team-first mindset where success is defined by what we accomplish together
- A proactive, curious attitude and a genuine desire to keep learning
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
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