Data Warehouse Engineer

Staff Data Warehouse Engineer

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 By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations.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 data backbone that powers decision-making across Finance, Product, and Go-to-Market. You'll be a senior technical owner on our Data Operations & Enablement team, designing and delivering end-to-end pipelines and warehouse architecture that become the single source of truth for the business. If you take pride in building reliable systems the right way, and you enjoy turning ambiguity into well-modeled, performant data products, this is the role to do your career-defining work.

In this role, you'll architect and harden core data infrastructure from ingestion through curated marts that executive leadership and Finance rely on for reporting, planning, and strategic decisions. You'll partner closely with analytics, data science, and product teams to make integrations robust, patterns reusable, and datasets trustworthy. Bring a builder's mindset, a bias for simplicity, and a passion for elevating standards.

Your work will be the foundation others build on.

Responsibilities:

• Own end-to-end delivery of pipelines and warehouse architecture, from design through production, for new builds, migrations, and re-platforming efforts.
• Administer and harden the data warehouse, including schema design, performance tuning, stability, and cost-aware optimization.
• Embed data quality and governance into pipelines by default — testing, documentation, lineage — not as afterthoughts.
• Translate ambiguous business requirements into clear technical designs; scope tradeoffs and dependencies with cross-functional stakeholders.
• Define and codify simple, stable, repeatable engineering standards and patterns adopted by the broader team.
• Mentor engineers through design reviews, code reviews, and hands-on guidance to raise the technical bar.
• Evaluate and introduce tools or architecture patterns when they materially improve scale, reliability, or cost and be able to justify and explain the rationale.
• Design the warehouse to be queried by AI agents, not just people. This means structuring models, naming conventions, and metadata so natural-language querying returns correct results, and authoring the skill files that let AI tools query the warehouse safely and accurately rather than guessing at intent.

We'd love to chat if you have:

• 8+ years of experience in data engineering or combined software/data engineering roles, with a track record of owning significant warehouse builds end-to-end.
• Expert-level SQL (multiple dialects) and strong Python, with examples of production-grade applications beyond ad hoc scripts.
• Deep knowledge of ETL/ELT design, ingestion methods, and orchestration (e.g., dbt, Airflow or equivalents).
• Hands-on experience with modern lakehouse/warehouse platforms (e.g. Snowflake, Trino/Starburst, or similar) and understanding of engine tradeoffs.
• Experience in financial services and/or SaaS environments.
• Co…