Green Dot logo

Lead Engineer, Database Engineering

Green DotLos Angeles, California

$130,800 - $186,300 / year

Automate your job search with Sonara.

Submit 10x as many applications with less effort than one manual application.1

Reclaim your time by letting our AI handle the grunt work of job searching.

We continuously scan millions of openings to find your top matches.

pay-wall

Overview

Schedule
Full-time
Career level
Director
Remote
Hybrid remote
Compensation
$130,800-$186,300/year

Job Description

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 RequirementThis position is open only to candidates who currently reside in the following approved location:

West 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., 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 SQLAzure 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 sponsorshipAbility 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.

>>>>>>>>>>

We’re Here to Support You—Accommodations Upon Request

Green 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.

Automate your job search with Sonara.

Submit 10x as many applications with less effort than one manual application.

pay-wall

FAQs About Lead Engineer, Database Engineering Jobs at Green Dot

What is the work location for this position at Green Dot?
This job at Green Dot is located in Los Angeles, California, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Green Dot?
Candidates can expect a pay range of $130,800 and $186,300 per year.
What employment applies to this position at Green Dot?
Green Dot lists this role as a Full-time position.
What experience level is required for this role at Green Dot?
Green Dot is looking for a candidate with "Director" experience level.
What is the process to apply for this position at Green Dot?
You can apply for this role at Green Dot either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.