Data Engineer

About the role

Company Overview

Promise modernizes how government agencies and utilities support people in financial difficulty. 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. Our mission is to transform public systems so they work better for everyone, especially the most vulnerable.

Our team includes experts from companies like Palantir, Google, Stripe , and esteemed government leaders. We work hard and believe deeply in what we do. We're looking for excellent people to build innovative, resilient technology.

Backed by over $50 million in funding from top investors – such as Reid Hoffman, Howard Schultz, Michael Seibel, Y Combinator, 8VC, The General Partnership, First Round Capital, Kapor Capital, XYZ Ventures, and Bronze Investments – Promise has been recognized as one of Fast Company's "World's Most Innovative Companies of 2022,” “Forbes Next Billion-Dollar Startups 2024,” and Y Combinator’s #1 GovTech startup.

About the Role

At Promise we rely on data for every decision we make – from product and engineering to operations, finance, and everything in between.

As our newest Data Engineer, you’ll build and scale the systems that power data-driven decisions across the company. You’ll work directly with a variety of stakeholders in the business – such as product, engineering, customer success, and finance – to design reliable and understandable data architectures, ship resilient pipelines, and create the foundational data products that drive our strategy and product.

On Any Given Day, You Will:

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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.

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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.

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Enforce data quality at scale. Build tests, monitoring, and reconciliation systems that make datasets observable and anomalies actionable.

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Design and maintain scalable data models, decision tools, and analytics infrastructure to empower self-serve analytics and derive insight.

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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.

What Will Help You Succeed

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The data team at Promise is a team of builders. We identify problems both internal and external, then implement end-to-end data solutions.

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