Source description
About the role
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
Preferred Qualifications
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1 or more years of experience in a data/database engineer or DBA role
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3 or more years of experience working with databases and data architectures in any IT capacity
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Hands-on experience with AWS RDS or Aurora
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Demonstrated use of AI agents or LLM-powered tools to do technical work more efficiently
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Tech You'll Work With
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Hosting & Administration: AWS RDS and Aurora
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Database Systems: PostgreSQL and MS SQL Server
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Languages: SQL, Python, and Shell Scripting
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AI & Agentic Tools: LLM-powered assistants like Claude and GitHub Copilot, alongside AI-driven automation workflows
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Data Warehouses & Integration: Snowflake, FiveTran, Celigo, and Boomi
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Build & Deployment: GitHub Actions, Terraform, Liquibase, and Jenkins
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Analytics & Logging: DataDog and Tableau
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Communication: Atlassian Jira and Slack
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