Senior Data Engineer

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