Lead Engineer, Database Engineering
About The Position
We’re looking for talented professionals, anywhere in the United States, to join us in bringing smart money management and payment solutions to everyone’s fingertips. At Green Dot, we are evolving to a new and permanent “Work from Anywhere” model designed to maximize the benefits of remote work, promote and enable a strong culture of performance and connectedness, and attract the best and brightest talent who align with our entrepreneurial spirit and mission. 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.
Requirements
- 6+ years of experience in database engineering with a focus on SQL Server .
- Strong understanding of database design , indexing, query optimization , and stored procedures.
- Strong experience in Database Modeling using 3rd Normal form with solid experience in data architect.
- Have 3-5 years’ experience in No SQL experience such as COSMOS.
- Having solid knowledge of SQL Internals in Azure SQL Database Hyperscale
- Strong experience in optimizing database queries and stored procedures including monitoring database performance both system and database standpoint.
- Has strong 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.
Nice To Haves
- Knowledge in distributed databases and ELT tools, data stream processing tools is a big plus.
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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees
