Data Warehouse Engineer

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.

• 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 an after‑thought.
• Translate ambiguous business requirements into clear technical designs; scope trade‑offs 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 – structure models, naming conventions and metadata so natural‑language querying returns correct results, and author skill files that let AI tools query the warehouse safely and accurately rather than guessing at intent.

• 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.
• Comfort operating with minimal Dev Ops/IT support on core database and warehouse administration.
• Proven mentorship and standards‑setting experience; formal management not required.

Visa Sponsorship:
Please note that this position is not eligible for visa sponsorship. Applicants must have authorization to work in the United States without requiring visa sponsorship now or in the future.

• San Jose, CA: $174,600—$209,300 USD
• Draper, UT: $148,400—$177,900 USD

• 100% paid employee health, dental and vision plans (choose HMO, PPO or HDHP)
• HSA & FSA accounts
• Life Insurance, long‑ and short‑term disability coverage
• Employee Assistance Program (EAP)
• 11+ observed holidays and wellness days and flexible time off
• Employee Stock Purchase Program with employee discounts
• Wellness & Fitness initiatives
• Employee recognition and referral programs
• And much more

BILL is an Equal Opportunity Employer. We believe our best ideas come from the unique stories, perspectives and experiences of our team members. We welcome people of all backgrounds, abilities and identities to bring their authentic selves and contribute to our culture.

We are committed to a transparent, inclusive hiring process that reflects our values. If you need accommodations at any stage, please contact interv To ensure a fair evaluation, our Candidate Integrity Policy prohibits the use of unapproved external assistance, including generative AI, during live interviews or assessments. Doing so will result in a review and potential disqualification.

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