Lead Engineer, Database Engineering

We’re looking for talented professionals to join us in bringing smart money management and payment solutions to everyone’s fingertips. This open position is a structured hybrid role, requiring work on site for a minimum of three days per week with the flexibility to remote work for the remainder of the days. On‑site expectations may evolve over time to support business needs, with clear communication provided in advance. Location Requirement: This position is open only to candidates who currently reside in Los Angeles, CA. Job Summary We 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 SDLC and is passionate about building scalable, secure, and high‑performance applications. Key Responsibilities Design, implement, and optimize SQL Server databases for high availability, scalability, and performance. Lead and support Azure migration efforts for legacy databases and data services. Develop and maintain cloud‑native data solutions using Azure SQL, Azure Data Factory, Cosmos, and other relevant services. Operate in an AI‑driven SDLC 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. Collaborate with application engineers to ensure seamless integration between backend data systems and product features. Monitor and troubleshoot database performance, security, and compliance issues. Required Qualifications 6+ years of experience in database engineering with a focus on SQL Server. Strong understanding of database design, indexing, query optimization, and stored procedures. Experience in database modeling using 3rd Normal form and data architecture. 3–5 years of experience in No‑SQL such as Cosmos. Solid knowledge of SQL internals in Azure SQL Database Hyperscale. Strong experience optimizing database queries and stored procedures, including monitoring database performance from both system and database perspectives. Experience using SQL Server side Trace. Proven experience with Azure SQL, Azure Data Factory, and cloud‑native data architectures. Expertise in reviewing stored proc performance, reading execution plans and making optimizations. Designing and writing high‑performance SQL queries and table designs. Familiarity with AI code assistants like GitHub Copilot or similar tools. Knowledge of distributed databases and ELT tools, data stream processing tools is a big plus. Ability to work in the U.S. without sponsorship. Ability to meet the location requirement outlined above. Salary & Benefits Regular position. Targeted base salary: $130,800 to $186,300 per year, commensurate with qualifications, expertise, and geographic location. Accommodations GreenDot is committed to providing an inclusive and accessible hiring experience for all candidates. If you require a reasonable accommodation during any part of the application or interview process, please let us know. We will work with you to meet your needs while respecting your privacy and ensuring equal opportunity. Work Authorization Requirement All applicants must be legally authorized to work in the United States at the time of application and throughout the duration of employment, without the need for current or future sponsorship. #J-18808-Ljbffr Green Dot Corporation