# Staff Data Engineer

- **Company:** Self Financial
- **Location:** Austin, TX, US (Not specified)
- **Salary:** Salary not disclosed
- **Contract:** Not specified
- **Posted:** 2026-06-08

## Job description

About Self Financial
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 challenge the status quo of the credit industry by giving people accessible tools to take control of their credit, with a focus on the 100 million+ Americans who have no or low credit. We're looking for people who share our passion, tackle challenges, find solutions, and make the financial space better for the communities we serve.
Title
Staff Data Engineer
Team
Data Engineering Team. Ensures data remains a strategic asset for Self by delivering timely, high-quality, purpose-built data to our Analytics, Machine Learning, and Business Intelligence organizations. The team works within a cross-functional product development group that includes Architecture, Infrastructure, and Product Management.
Location: Austin, TX.
Work Arrangement: Austin – Hybrid or Remote.
About the Role
As Staff Data Engineer, you'll drive plans that deliver outcomes and make a direct impact on our mission. You'll provide technical leadership through coaching and mentorship, and work cross-functionally to turn Self's strategic vision into impactful product and data improvements. Your primary focus is leading the data pipeline, modeling, and population of data schemas in Self's data environment for business intelligence and analysis.
What you'll do
Partner with Product Management to translate strategy into actionable projects
Lead architecture design, project analysis, work breakdown, and planning
Create physical and logical data models for large, complex data sets
Manage data pipelines and ETL/ELT processes using SQL and Python
Maintain data lifecycle and quality standards
What You Bring
8+ years of experience in database development, database integration, and data analytics tools
8+ years designing and implementing complex Data Warehouse and Data Lake models (Kimball)
Proficiency managing ETL/ELT with large data sets
Willingness to take on team leadership and accountability for team results
Experience with common engineering tools such as Git, JIRA, and Confluence
Excellent listening, interpersonal, written, and verbal communication skills
What Separates You
Experience with columnar data structures such as Amazon Redshift
Familiarity with AWS data warehousing tools
Familiarity with Apache Airflow and Python
Base Salary Range
$160,000 – $195,000 annually. Individual pay and level are based on factors unique to each candidate, including skill set, experience, region, and other job-related reasons.
Benefits & Perks
Generous health, dental, and vision insurance coverage
Employer-paid benefits including life, disability, and cost-containment resources
Hybrid work arrangement
Flexible vacation
Company performance-based bonuses
Paid parental leave
Company equity in the form of stock options
Education reimbursement program
Relocation bonus to move to Austin
Gym membership options through ClassPass or monthly reimbursement
Lunchdrop stipend
Paid parking
ERG and inclusion opportunities
Casual dress code
Team building events and activities
Referral program
Equal Opportunity Employer
Self Financial is an Equal Opportunity Employer. We celebrate diversity and are committed to an inclusive environment. We do not discriminate on the basis of any protected group status under applicable law. If you need an accommodation during the application or interview process, please let us know.
Work Authorization
We can only consider candidates who are U.S. citizens or permanent residents (green card holders). We are unable to offer visa sponsorship of any kind, now or in the future. All new hires must successfully pass a background check.
AI Integrity Policy
Self Financial is an AI-forward company. Our interview process is designed to understand your own career experience, technical acumen, and communication skills. Please do not use AI tools to generate or assist with your answers during interviews unless we explicitly invite you to. If we have reason to believe AI was used in a way that misrepresents your own abilities, we may remove you from the interview process and from consideration for future opportunities at Self.

[Apply on the company site](https://www.joonow.com/en/job/staff-data-engineer-austin-tx-enhk1d13vx/apply)