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Lead Engineer, Database Engineering

Job in New York, New York County, New York, 10261, USA
Listing for: Green Dot Corporation
Full Time position
Listed on 2026-06-05
Job specializations:
  • Software Development
    Data Engineer, Software Engineer
Salary/Wage Range or Industry Benchmark: 130800 - 186300 USD Yearly USD 130800.00 186300.00 YEAR
Job Description & How to Apply Below
Location: New York

## Lead Engineer, Database Engineering Apply locations:
Birmingham, AL | Los Angeles, CA | San Francisco, CAtime type:
Full time posted on:
Posted Todayjob requisition : R3878

We’re looking for talented professionals to join us in bringing smart money management and payment solutions to everyone’s fingertips.

This position is classified as structured hybrid, with an expectation of a minimum of three (3) days per week working in the office and flexibility to work remotely on the remaining days. On-site expectations may evolve over time to support business needs, with clear communication provided in advance.
** JOB DESCRIPTION
**** Location Requirement
** This 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, 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., Git Hub 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 Git Hub 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 TYPE
** Regular
* * PAY RANGE
** The 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. #J-18808-Ljbffr
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