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Green Dot Corporation · 1 month ago

Senior Database Engineer – SQL Server and Azure

United States

Full-time

Remote

Senior Level

$88K/yr - $131K/yr

6+ years exp

Green Dot Corporation is evolving to a new and permanent 'Work from Anywhere' model, seeking talented professionals to join their product engineering team. The Database Engineer will focus on SQL Server and Azure technologies, responsible for designing, implementing, and optimizing databases for high availability and performance, while collaborating with application engineers to ensure seamless integration.

FinanceFinancial Services

No H1B

Responsibilities

Design, implement, and optimize SQL Server databases for high availability, scalability, and performance

Establishes database management systems, standards, guidelines and quality assurance for database deliverables, such as conceptual design, logical database, capacity planning, external data interface specification, data loading plan, data maintenance plan and security policy

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

Documents and communicates database design. Evaluates and installs database management systems. Codes complex programs and derives logical processes on technical platforms. Builds windows, screens and reports. Assists in the design of user interface and business application prototypes. Participates in quality assurance and develops test application code in client server environment

Provides expertise in devising, negotiating and defending the tables and fields provided in the database. Adapts business requirements, developed by modeling/development staff and systems engineers, and develops the data, database specifications, and table and element attributes for an application. At more experienced levels, helps to develop an understanding of client's original data and storage mechanisms

Determines appropriateness of data for storage and optimum storage organization. Determines how tables relate to each other and how fields interact within the tables for a relational model

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

Qualification

SQL ServerAzure SQLAzure Data FactoryDatabase designCloud-native data architecturesAI code assistantsDistributed databasesELT toolsData stream processing

Required

6+ years of experience in database engineering with a focus on SQL Server

Strong understanding of database design, indexing, query optimization, and stored procedures

Proven experience with Azure SQL, Azure Data Factory, and cloud-native data architectures

Familiarity with AI code assistants like GitHub Copilot, or similar tools

Preferred

Knowledge in distributed databases and ELT tools, data stream processing tools is a big plus

Company

Green Dot Corporation

Glassdoor2.9

About Green Dot Green Dot Corporation (NYSE: GDOT) is a financial technology platform and registered bank holding company that builds banking and payment solutions to create value, retain and reward customers, and accelerate growth for businesses of all sizes.

Founded in 1999

Austin, Texas, USA

1001-5000 employees