Lead ETL Engineer

Green Dot; Los Angeles (CA); Hybrid; USD 139,900 - 199,300; Full time

Job summary

Green Dot Corporation is seeking a Lead ETL Engineer to join a team delivering a large-scale cloud hosted data platform. You will lead ETL development, data warehousing, and governance initiatives with a focus on performance, reliability, and scalable architectures.

The role requires hands-on experience with data warehouses, ETL pipelines, and modern testing frameworks. This is a structured hybrid position based in Los Angeles, with on-site and remote work options.

Qualifications

• Bachelor’s and/or master’s degree in computer science, Computer Engineering or related field preferred.
• 8+ years of overall software development experience with data warehouse apps and 3+ years in a technical leadership role.
• 3+ years of cloud-based data warehouse experience (AWS Redshift preferred) and ETL tools (Informatica Cloud preferred).
• 3+ years of Python development experience and strong OLAP data modeling knowledge.

Responsibilities

• Architect and maintain data stores and data warehouses including data lakes and metadata repositories.
• Design and implement high-performance data movement pipelines using ETL tools with batch and real-time streams.
• Develop scalable ingestion frameworks for structured and semi-structured data; implement settlement and reconciliation processes.
• Create data architecture and data flow diagrams; translate requirements into data models.
• Ensure data warehouse features are incorporated to optimize performance and security.
• Deliver proofs of concept and lead testing and deployment in CI/CD pipelines.

Skills

ETL design

Data warehousing

Cloud data platforms

Leadership

Python scripting

CI/CD

Education

Bachelor’s or Master’s in CS/CE or related

Tools

Informatica Cloud

AWS Redshift

Azure Data Factory

SQL Packages

GitHub Actions

Jenkins

Job description

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.

Location Requirement

This position is open only to candidates who currently reside in one of the following approved locations: Los Angeles, CA.

Job Summary

Green Dot Corporation is seeking for a Lead ETL Engineer of large-scale data solutions. You will join a team delivering a transformative next‑gen cloud hosted data platform.

The ideal candidate will have a proven track record in implementing next‑gen cloud data solutions and transformation pipelines for large scale organizations. We are seeking someone with deep technical skills in a variety of data warehouse related technologies to play an important role in developing and delivering early proofs of concept and production implementation. The successful candidate will have hands‑on experience in a multitude of data domains; including building data warehouse models, ETL development, automated testing framework, performance tuning, service delivery, incident resolution tracking, and change management.

Key Responsibilities

• Architecting and maintaining Operational data stores (ODS), Enterprise Data Warehouse (EDW) and associated data intelligence environments including data lakes, data marts, and metadata repositories.

• Designing and implementing high performance data movement pipelines using multiple ETL tools (Informatica, Azure Data Factory, SQL Packages, etc) with batch and real‑time event data streams.

• Developing scalable and re‑usable frameworks for ingestion of structured and semi‑structured data; and implementing various large‑scale settlement and reconciliation frameworks.

• Designing and creating data architecture and data flow diagrams and collaborating with peers to translate requirements into logical and physical data models.

• Ensures data warehouse features and capabilities are incorporated into data model designs to optimize performance, resiliency, and scalability.

• Delivering and presenting proofs of concept to of key technology components to project stakeholders and internal technology leaders.

• Leading and coordinating the design and operationalization of Data Governance capabilities like – data lineage, data catalog, data quality, etc.

• Problem‑solving of Data warehouse and ODS application issues and production errors, including high level critical production issues that require immediate attention.

• Write, test and produce production grade ETL data pipeline code in financial services without relying on testing by other groups.

• Implement intelligent testing frameworks that auto‑generate test cases, predict bugs, and enable self‑healing.

• Leads the creation of test strategy, test planning, and test execution related to all aspects of testing like functional, integration, systems, end‑to‑end testing, accessibility, database validations, and automation.

• Integrate test suites into CI/CD pipelines (Jenkins, Github).

Required Qualifications

• Bachelor’s and/or master’s degree in computer science, Computer Engineering or related field preferred.

• 8+ years of overall software development experience is required primarily with Data warehouse applications, with 3+ years in a technical leadership role.

• 3+ years of hands‑on development experience in Cloud‑based data warehouse platform (AWS Redshift preferred) and experience with ETL tools (Informatica Cloud preferred).

• 3+ years of development experience with Python scripting experience.

• Strong knowledge and experience in OLAP data modeling & design.

• Knowledge of data governance, security, and compliance standards (e.g., SOC 2, PCI DSS).

• Demonstrated expertise in performance tuning in various DB environments with large volumes of data.

• Familiarity with CI/CD pipelines (e.g., Jenkins, GitHub Actions) and infrastructure‑as‑code tools.

• Expertise in understanding complex business needs, analyzing, designing, and developing solutions.

• Communication and professional skills and the ability to navigate relationships across business units.

Preferred Qualifications

• Experience in fintech or enterprise data warehouse platforms.

• Familiarity with data warehouse operational domains such as partner reporting, compliance analytics, and business intelligence.

• Contributions to open‑source QA frameworks or technical publications.

• Demonstrated leadership in building scalable QA practices, as outlined in internal QA leadership guidance.

Work Eligibility

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 $139,900 to $199,300 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 Requirement

At 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 Accuracy

We 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.