selffinancial · Austin, TX
Skills: Python, SQL, AWS
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 ma…
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