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Promise · 3 hours ago

Data Engineer

Oakland, CA

Full-time

Hybrid

Senior Level

5+ years exp

Promise is a company that modernizes how government agencies and utilities support people in financial difficulty. As a Data Engineer, you will build and scale systems that power data-driven decisions across the company, collaborating with various stakeholders to design data architectures and maintain data quality.

Debt CollectionsFinancial ServicesFinTechGovernmentMobile Payments

No H1B

U.S. Citizen Only

Responsibilities

Own data architecture end-to-end. Every new project we build is slightly different – how do we capture, model, and serve critical business data so it’s both flexible and straightforward

Automate operational workflows. Partner with business systems and platform teams to eliminate manual data handoffs and ensure every teammate has access to the data they need, where they need it

Enforce data quality at scale. 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

Qualification

Data architectureData pipelinesCloud data warehousesPythonSQLData modelingCI/CD integrationData governanceCollaborationProblem-solving

Required

5+ years of experience as a data or software engineer building data warehouses, pipelines, and distributed data systems

Ability to draw on a variety of modeling techniques to drive sustainable data solutions

Deep hands-on expertise with a modern data stack, from ingestion to transformation (dbt, etc.), orchestration (Airflow, etc.), observability, and BI (Looker, Metabase, etc.)

Experience operating cloud data warehouses such as Snowflake, BigQuery, or Redshift, including schema design, security and permissioning, and data governance

Comfortable writing production-grade code in Python or SQL languages, and integrating with CI/CD and infrastructure-as-code workflows

Enjoy partnering across disciplines—engineering, product, analytics—to translate messy business requirements into elegant data systems

Thrive as a self-starter in a fast-moving environment, owning both the technical design and the operational outcomes of your work