JOB DESCRIPTIONLocation RequirementThis position is open only to candidates who currently reside in one of the following approved locations:
New York, NY; Birmingham, AL; Miami, FL; Tampa, FL; Blue Ash or Cincinnati, OH; or Los Angeles, CAJob 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 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 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.
- Knowledge in 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**POSITION TYPERegular
PAY 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.
We9re 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.
