Senior Data Warehouse Engineer

BILL • San Jose, CA

3d

About The Position

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.

Requirements

• 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

Nice To Haves

• 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)

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

Benefits

• 100% paid employee health, dental, and vision plans (choose HMO, PPO, or HDHP)
• HSA & FSA accounts
• Life Insurance, Long & 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees