Staff Data Warehouse Engineer

BILL•San Jose, CA

About The Position

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 By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations.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 The Data Operations organization builds capabilities and practices that support the usage of data across BILL. The team supports stakeholders across the company to understand their needs, collect applicable requirements, develop solutions, solicit feedback, deploy to the data ecosystem, and showcase the result. Engineers on the Data Operations team bring a sense of pragmatic perfectionism, doing their best work every day and delivering quality data products to those whom they support. Responsibilities As a Staff Data Engineer on the team, you'll contribute to the design, development, and principles of our ecosystem to directly support the highest impact needs of BILL’s data consumers. You will collaborate closely with marketing, data science, analytics, and product teams to ensure seamless integrations, scalable practices, and actionable insights. Your work will guide and strengthen our core capabilities, as we evolve and mature our platform.

Requirements

BS/BA in Computer Science, Information Systems, Mathematics, or a related field (or equivalent experience)
5+ years in Data Engineering or combination of Software + Data Engineering roles
3+ years in financial services and/or SaaS environments
Proven track record of integrating customer data into business operations from the ground up
Expert proficiency in SQL (multiple dialects preferred) and Python
Deep understanding of ETL/ELT design patterns, data ingestion methods, and orchestration frameworks
Advanced knowledge of both normalized database design and warehouse data modeling
Demonstrated ability to use data at hand to solve business cases, from start to finish
History of novel solutions and original design to solve real world problems
Able to exercise a “builder” mindset, but knows when to buy

Nice To Haves

Strong candidates bring software engineering, developer operations (DevOps), or enterprise data systems experience
Bringing start-up, team building, or leadership (formal or informal) experience is a plus

Responsibilities

Design and deploy branches of our architecture that persist and grow over time
Ensure data quality, security, and governance best practices across the platform
Collaborate cross-functionally to translate business requirements into technical solutions
Define policies that enable the needs of the business, setting simple, stable, repeatable patterns
Mentor team members and foster a culture of continuous improvement
Take ownership of broad needs of the business, bringing experience and guidance to solve
Bring an R&D mindset that pushes the data stack into new capabilities and uses