Senior Data Engineer

• What You’ll Own:
• The data platform end to end. Our pipelines, Airflow environment, dbt, and Redshift warehouse are yours to design, operate, and improve
• Reliability and trust in the data. When a pipeline breaks or a number looks wrong, you’re the person who finds the cause and makes sure it doesn’t happen again
• The path from messy source to clean warehouse. You’ll bring data in from many sources, clean it, model it, and make it easy for others to use
• Our data architecture decisions. You’ll weigh in on warehouse design, scalability, and cost, and write down why we chose what we chose
• The bridge with Platform. You’ll stay ahead of upstream data model changes and make sure data and analytics have a voice in major engineering decisions

• Unlimited PTO in an environment where taking time off to relax or recharge is supported and encouraged
• Full medical and dental benefits
• 401k with Match and 100% vesting upon hire
• Company equity managed through Carta
• Fully remote, flexible work environment (we do however meet together in person several times a year)
• Paid parental leave

Working knowledge of AWS and a cloud data warehouse (we use Redshift)
Good instincts for warehouse and system design4+ years in data engineering, analytics engineering, or a closely related role, including at least 2 years at a company operating at meaningful scale

Strong SQL and Python, with Python used for data processing and pipeline work

The ability to turn a stakeholder’s requirements into code and systems, and to explain your decisions clearly

Hands-on experience with dbt and with orchestrating production pipelines (Airflow or similar)
Experience moving pipelines onto Airflow or a similar orchestrator

Experience in fintech, wealth management, or other regulated environments (compliance, audit, PII handling)
Experience with document processing or AI/ML data pipelines