Data Engineer

🕒 May 21

🏢🏡 San Francisco – Hybrid

💵 $150k - $210k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Promise

WebsiteLinkedInAll Job Openings

11 - 50 employees

PromisePay provides a modern payment platform built for government. We transformed the inconvenient and time-consuming process of paying down government debt into something that any resident can use. PromisePay is easy to use on mobile devices, offering all payment methods, in the languages residents speak, and broken down into easier payment plans. We have a team working 24/7 to talk to residents and help them make their payments. This means residents pay off debt faster, government gets more revenue, and government works better for everyone.

📋 Description

• 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.

🎯 Requirements

• Have 5+ years of experience as a data or software engineer building data warehouses, pipelines, and distributed data systems. • Can draw on a variety of modeling techniques to drive sustainable data solutions. • 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.). • Have operated cloud data warehouses such as Snowflake, BigQuery, or Redshift, including schema design, security and permissioning, and data governance. • Are 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.

🏖️ Benefits

• 100% paid health coverage • Generous PTO and sick leave • Lunch, snacks, and coffee provided • Company retreats • Opportunities to travel and see the impact of your work • Hybrid Work: We deeply value in-person collaboration and are in-office or on-site at least four days a week