Lead Engineer, Database Engineering

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.JOB DESCRIPTIONWe 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.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 HyperscaleStrong 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 optimizationsDesigning and writing high performance SQL queries and table designsFamiliarity with AI code assistants like GitHub Copilot, or similar tools.Knowledge in distributed databases and ELT tools, data stream processing tools is a big plus.POSITION TYPERegularPAY RANGEThe targeted base salary for this position is $130,800 to $186,300 per year. The final compensation will be determined by a number of factors such as qualifications, expertise, and the candidate's geographical location.We're Here to Support You—Accommodations Upon RequestGreen Dot 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, we encourage you to let us know. We will work with you to meet your needs in a way that respects your privacy and ensures equal opportunity. Our goal is to support every applicant in showcasing their talents and potential.Work Authorization RequirementAt Green Dot Corporation, we value diversity and strive for fair and inclusive hiring practices. However, we are currently unable to offer visa sponsorship. 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.Important Notice on Application AccuracyWe value integrity in our hiring process. Please ensure that all information provided in your resume and application is accurate and authentic. Submissions found to be fraudulent or misleading will result in disqualification from consideration, and any offers extended may be rescinded.