Database Engineer
Title: Database EngineerLocation: Los Angeles, CADuration: Long TermJob SummaryWe are looking for a Database Engineer with deep expertise in SQL Server and Azure cloud technologies to join our product engineering team. This role is ideal for someone who thrives in a fast-paced, AI-enhanced Software Development Life Cycle (SDLC) and is passionate about building scalable, secure, and high-performance applications.Key ResponsibilitiesDatabase Optimization: Design, implement, and optimize SQL Server databases for high availability, scalability, and performance.Cloud Migration: Lead and support Azure migration efforts for legacy databases and data services.Cloud Architecture: Develop and maintain cloud-native data solutions using Azure SQL, Azure Data Factory, Cosmos, and other relevant services.AI-Driven SDLC Operations: Operate efficiently within an AI-driven development environment:Collaborate with AI copilots to convert stakeholder requirements into structured data models and specs.Use generative AI tools to iterate on database architectures and performance strategies.Pair program with AI assistants (e.g., GitHub Copilot, Claude) to write, refactor, and validate SQL in real-time.Implement tools for automated validation, bug prediction, and self-healing data pipelines.Cross-Functional Collaboration: Partner with application engineers to ensure seamless integration between backend data systems and product features.Monitoring & Security: Monitor and troubleshoot database performance, security, and compliance issues.Required Qualifications:6+ years of experience in database engineering with a strong focus on SQL Server.Core Database Expertise: Strong understanding of database design, indexing, query optimization, and stored procedures.Data Modeling: Strong experience in Database Modeling using 3rd Normal Form (3NF) alongside solid data architecture experience.NoSQL Experience: 3–5 years of experience with NoSQL databases, specifically Cosmos DB.Azure & SQL Internals: Deep knowledge of SQL Internals within Azure SQL Database Hyperscale.Performance Tuning: * Advanced experience optimizing database queries and stored procedures.Proficiency in monitoring database performance from both a system and database standpoint.Strong background utilizing SQL Server-side Trace.Expertise in reviewing stored procedure performance, reading execution plans, and implementing optimizations.Cloud Infrastructure: Proven experience with Azure SQL, Azure Data Factory, and cloud-native data architectures.Query & Table Design: Expert skills in designing and writing high-performance SQL queries and table schemas.AI Tooling: Familiarity with AI code assistants like GitHub Copilot or similar tools.Preferred Plus: Knowledge of distributed databases, ELT tools, and data stream processing tools is a major plus.