Nice-to-Have:

Experience with vector databases or vector search extensions (e.g., pgvector, Azure SQL, Pinecone). Basic understanding of embeddings, semantic search, and data flows for AI models. 3. Collaboration & Modern Tooling Version Control (Git): Save and manage all SQL scripts, and stored procedures in Git so code changes are tracked, reviewed, and backed up safely.

Teamwork:

Work directly with application developers to ensure database changes match app requirements and run efficiently.

Visual Studio Integration:

Manage database projects to align with our software deployment pipeline.

Technical Qualifications & Requirements Experience:

4+ years of hands-on SQL Server experience with a focus on database optimization, performance troubleshooting, SQL development, and managing automated SQL jobs.

IDE Tooling:

Proficiency with Visual Studio (specifically SQL Server Data Tools / Database Projects) and Git-based database version control.

AI/Data Engineering Skillset:

Practical experience with vector databases or vector extensions (e.g., pgvector, Azure SQL vector support, Pinecone, or Milvus). Understanding of embeddings, semantic search, and prompt engineering data dependencies. Familiarity with vector search tools and a basic understanding of how embeddings and semantic search work with AI models.

Pay:

$120,000.00 - $150,000.00 per year

Benefits:

401(k) 401(k) matching Dental insurance Health insurance Paid time off Retirement plan Vision insurance

Work Location:

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