You will
Develop and implement ETL processes Design data warehouse solutions to support ETL processes and data analytics applications Write SQL/NoSQL database queries, stored procedures, triggers, user defined functions, analytic functions, etc. Own features that you develop end to end, develop and test your code, implement new processes in production, and maintain and support them over time Drive our data platform and help evolve our technology stack and development best practices Develop and unit test assigned features to meet product requirements You have 7-10 years experience in engineering BS in CS or related field or equivalent years of experience Strong experience in database technologies and data warehousing Strong experience in Python Experience with service oriented architecture and good understanding of distributed systems, data stores, data modeling, and indexing (experience with Event Sourcing and/or CQRS preferred) Hands on experience developing APIs and SDKs Hands on experience with BigQuery, PostgreSQL, and large-scale distributed storage and database systems Ability to deal with ambiguity and communicate well with both technical and non-technical teams Nice to have Airflow Docker Kubernetes Benefits Equity Range of Healthcare Plans Paid Parental Leave Unlimited Vacation Flexible Work Schedule Compensation Range: $165,000-200,000 / year