Join a highly motivated team working for social impact as a Data Engineer. Develop data infrastructure and processes to power business intelligence and drive mission. Collaborate with a team of talented developers to build new features and maintain existing functionality.
Requirements
- 2+ years utilizing Python and SQL to develop data intensive applications or insights
- Experience working on production-level data systems in a collaborative team environment
- Proficient with Python and SQL
- Proficient with relational databases, particularly PostgreSQL
- Familiar with fundamental development principles and processes such as observability, performance optimization, continuous integration, automated testing, and cloud infrastructure
Benefits
- Expected annual compensation range: $154,000-181,500 USD
- Base salary $140,000-165,000 USD
- Up to 10% annual bonus based entirely on individual performance
- Stock options
- 50% match on 401k contributions of up to 6% of base salary
- $100 monthly wellness stipend
- $750 annual professional development budget