Data Engineer
US$160,000 – US$195,000 / yr base salary
Posted 8 Jun 2026
Advertised as “Staff Data Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 8+ yrs
- Management level
- People management
- Employment
- Hybrid
- Visa sponsorship
- Not offered
| Base salary | US$160,000 – US$195,000 / yr |
|---|
Self Financial is a venture-backed, high-growth FinTech company with a mission to increase economic inclusion and financial resilience by empowering people to build credit and build savings.
We're looking for people who share our passion and are driven to tackle challenges, find solutions and make the financial space better for the communities we serve.
Our team is passionate about challenging the status quo of the credit industry by providing people accessible tools to take control of their credit. Executing on our mission requires deep collaboration across our teams to ensure our products reach the people who can benefit from them the most, particularly the 100 million+ Americans who have no or low credit.
About the Role:
As our Staff Data Engineer, you will be responsible for organizing plans that drive outcomes and making a direct impact on our mission. We want you to provide technical leadership to your teammates through coaching and mentorship, and collaborate cross-functionally to implement impactful improvements to our product.
As part of the Self Financial Data Engineering Team, your role will be to ensure that data remains a strategic asset for Self Financial by delivering timely, high-quality, and purpose-built data to our team members. Our team supports Self Financial's internal Analytics, Machine Learning, and Business Intelligence organizations.
What you will do:
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Operates as part of a cross functional product development team that includes Architecture, Infrastructure, and Product Management
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Your primary focus will be on leading the data pipeline, modeling, and populating data schemas within Self Financial's Data Environment for use in business intelligence and data analysis activities.
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Your day-to-day activities will include:
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Collaborating closely with Product Management to translate Self Financial's strategic vision into actionable projects.
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Architecture design, project analysis, work break down and planning.
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Creating Physical and Logical Data Models with large, complex data sets
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Managing data pipeline, ETL/ELT processes using SQL and Python
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Maintaining data lifecycle and quality standards
Who you are:
- 8+ years of experience with database development, database integration, and data analytics tools
- 8+ years of experience designing and implementing complex Data Warehouse and Data Lake data models (Kimball)