Database Engineer / Database Administrator

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