Senior Data Warehouse Engineer

Bill.com
Draper, Utah, United States; San Jose, California, United StatesPosted 7 April 2026

Tech Stack

Job Description

Innovate with purpose At BILL, we believe in empowering the businesses that drive our economy. By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations. And we don’t stop there: we’re creating the future of financial automation so businesses can spend more time on what matters. Working here means you become part of a vision-driven team that’s ready to tackle challenges and build cutting-edge solutions. We value purpose, drive, and curiosity—and we thrive in a fast-paced, ever-changing environment. Whether in one of our offices in San Jose, CA, Draper, UT, or in a remote-eligible role, BILLders collaborate to deliver real impact for businesses that need more time in their busy weeks. BILL builds high performing teams and we seek to hire the best talent for every role. We're committed to building a workplace that fosters inclusion and diverse perspectives, valuing each person’s unique skills and experiences. We’d love to hear from you—you might be just what we’re looking for, whether in this role or another. ✨ Let’s give businesses more time for what matters. Make your impact within a rapidly growing Fintech Company Join BILL as a Staff Data Warehouse Engineer and help build the trusted, scalable data foundation that powers decision-making across our business. As part of the Data Operations organization, you’ll partner closely with Marketing, Product, Analytics, and Data Science to translate real business needs into durable data models, reliable pipelines, and actionable insights. If you thrive on solving ambiguous problems with elegant, production-grade data engineering, this is a high-ownership role where your work will be felt company-wide. In this role, you’ll shape the architecture and standards that enable teams to move faster with confidence—designing for quality, governance, and reusability from day one. You’ll own key branches of our data ecosystem, mentor peers, and bring a pragmatic, builder mindset to evolve our platform as BILL scales. Make an impact at BILL by creating the patterns and products others can depend on. Responsibilities: Design, build, and evolve resilient warehouse/data models and pipelines that stand the test of time Ensure data quality, security, and governance through tests, observability, and clear ownership patterns Translate complex business requirements into simple, scalable technical solutions and documentation Define and promote standards that create simple, repeatable patterns across teams and domains Collaborate with cross-functional partners (Marketing, Product, Analytics, Data Science) to deliver trustworthy, ready-to-use data Mentor teammates, review designs/code, and raise the engineering bar for reliability and maintainability Explore and introduce new capabilities that expand what our data stack can do We’d love to chat if you have: BS/BA in Computer Science, Information Systems, Mathematics, or equivalent experience 5+ years in Data Engineering (or combined Software + Data Engineering) with production ownership Experience in financial services and/or SaaS environments Proven success integrating customer data into business operations from the ground up Expert-level SQL and strong Python, with deep knowledge of ETL/ELT patterns, ingestion, and orchestration Desired Qualifications: Advanced data modeling expertise across normalized design and warehouse paradigms Background in software engineering, DevOps, or enterprise data systems and tooling Track record of novel, real-world solutions and a pragmatic builder mindset (knowing when to build vs. buy) Visa Sponsorship: This position is not eligible for visa sponsorship. Applicants must be authorized to work in the United States now and in the future without sponsorship. #LI The estimated salary range for this role is noted below for our San Jose based role. Our ranges for each role and job ... (truncated, view full listing at source)
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