Senior Data Engineer

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. As a Senior Data Engineer, you will be responsible for leading the data pipeline and collaborating with cross-functional teams to implement impactful improvements to the product.

Responsibilities:

• Operates as part of a cross functional product development team that includes Architecture, Infrastructure, and Product Management
• 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
• Collaborating closely with Product Management to translate Self Financial's strategic vision into actionable projects
• Architecture design, project analysis, work break down and planning
• Creating Physical and Logical Data Models with large, complex data sets
• Managing data pipeline, ETL/ELT processes using SQL and Python
• Maintaining data lifecycle and quality standards

Requirements:

• 6+ years of experience with database development, database integration, and data analytics tools
• 6+ years of experience designing and implementing complex Data Warehouse and Data Lake data models (Kimball)
• Willingness to embrace the responsibilities of team leadership and accountability for team results
• Proficient in managing Data ETL/ELT with large data sets
• Experience with columnar data structures such as Amazon RedShift
• Familiarity with AWS data warehousing tools
• Experience with common software engineering tools such as Git, JIRA, Confluence and similar platforms
• Familiarity with Apache Airflow and Python
• Excellent listening, interpersonal, written, and oral communication skills