Database Engineer

About the team / Role Hands-on database engineering role focused on implementing, optimizing, and modernizing data systems across the technology stack. Works closely with Database Architects to execute modernization initiatives—refactoring stored procedures, building data pipelines, implementing vector databases, and developing AI-powered tooling. This is an execution-heavy role where you'll write code daily: T-SQL, Python, infrastructure-as-code, and whatever else is needed to get data systems working well.

We are seeking a Senior Database Engineer to join our data engineering team. You'll work on two fronts: modernizing legacy SQL Server systems (decomposing complex stored procedures, optimizing performance, migrating business logic to services) and building AI-native data infrastructure (embedding pipelines, vector database implementations, RAG components). This is an AI-first engineering role. You'll use AI coding assistants daily to accelerate your work—analyzing stored procedures, generating migration code, debugging query performance issues. You'll also build the data infrastructure that AI agents depend on: the embedding pipelines, vector indexes, and retrieval systems that make RAG work. If you enjoy the craft of database engineering—writing elegant queries, optimizing execution plans, building reliable pipelines—and want to apply those skills to both legacy modernization and cutting-edge AI infrastructure, this role is for you.

How you'll make an impact Stored Procedure Refactoring & Legacy Modernization

• Analyze complex SQL Server stored procedures to understand embedded business logic and data access patterns
• Refactor stored procedures following architect-defined patterns: extracting business logic, simplifying data access, improving testability