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Data Engineer

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Self Financial
Full Time position
Listed on 2026-07-07
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 100000 - 130000 USD Yearly USD 100000.00 130000.00 YEAR
Job Description & How to Apply Below
Position: Staff Data Engineer

Requirements

  • 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)
  • 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 Red Shift
  • 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
What the job involves
  • 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
  • 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
  • Your day-to-day activities will include:
  • 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
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