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.

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.
• 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 breakdown 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

• 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
• Experience with Apache Airflow and Python
• Excellent listening, interpersonal, written, and oral communication skills

Qualifications

We are an Equal Opportunity Employer. At this time, we are only able to consider applicants who are U.S. Citizens or Green Card Holders for employment opportunities. We appreciate your understanding.

Skills

• Database development
• Data integration
• Data analytics tools
• Data warehouse and data lake data models
• ETL/ELT processes
• Columnar data structures
• AWS data warehousing tools
• Software engineering tools
• Apache Airflow
• Python

Benefits and Perks

• Company equity in the form of Stock Options
• Performance-based bonuses
• Generous employer-paid health, vision and dental insurance coverage
• Flexible vacation policy
• Educational assistance
• Free gym membership
• Casual dress code
• Team building events and activities
• Paid parental leave

Pay

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.

Schedule

Remote work arrangements/ flexible work schedule