Data Engineer

San Francisco, United StatesHybrid

Responsibilities

Build tests, monitoring, and reconciliation systems that make datasets observable and anomalies actionable. - Design and maintain scalable data models, decision tools, and analytics infrastructure to empower self-serve analytics and derive insight. - Enable insights and experimentation.
Support analytics, ML, and product engineering teams by exposing high-quality, comprehensible data through semantic layers, APIs, and real-time query systems.

- Have deep hands-on expertise with a modern data stack, from ingestion to transformation (dbt, etc.), orchestration (Airflow, etc.), observability, and BI (Looker, Metabase, tc.).
- Are comfortable writing production-grade code in Python or SQL languages, and integrating with CI/CD and infrastructure-as-code workflows.
HOW WE SUPPORT OUR PEOPLE At Promise, we invest in our team’s well-being, growth, and sense of ownership.
Additionally, candidates must reside in the US. Promise participates in E-Verify.

We identify problems both internal and external, then implement end-to-end data solutions. - Have 5+ years of

We build technology that makes it simple for residents to receive benefits, engage with assistance programs, set up flexible payment plans, and stay on track—while helping agencies increase efficiency, recover revenue, and deliver services with dignity.
- Equity for All: All full-time employees receive stock options to share in our company’s success.
- 100% Paid Health Coverage: We cover 100% of base medical, dental, and vision insurance plans for employees and their dependents.
- Flexible Time Off: Self-managed FTO and 12 paid holidays — we trust you to balance your work and your life. Please note:
Promise is an equal opportunity employer and does not discriminate against any applicant or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, genetic information, age, or military or veteran status.