Staff Data Engineer

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:

• 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

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)
• 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

Base salary range: $160,000-195,000 annually.  Individual pay and level is based on factors unique to each candidate, including skill set, experience, and other job-related reasons.