Staff Data Warehouse Engineer
Bill.comDraper, Utah, United States; San Jose, California, United StatesPosted 4 March 2026
Job Description
<div class="content-intro"><p><strong>Innovate with purpose</strong></p>
<p>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 By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations.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.</p>
<p>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.</p>
<p>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.</p>
<p>✨ Let’s give businesses more time for what matters.</p></div><p><strong>Make your impact within a rapidly growing Fintech Company</strong></p>
<p>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.</p>
<p> </p>
<p><strong>Responsibilities</strong></p>
<p>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.</p>
<p>On-going Expectations:</p>
<ul>
<li>Design and deploy branches of our architecture that persist and grow over time</li>
<li>Ensure data quality, security, and governance best practices across the platform</li>
<li>Collaborate cross-functionally to translate business requirements into technical solutions</li>
<li>Define policies that enable the needs of the business, setting simple, stable, repeatable patterns</li>
<li>Mentor team members and foster a culture of continuous improvement</li>
<li>Take ownership of broad needs of the business, bringing experience and guidance to solve</li>
<li>Bring an RD mindset that pushes the data stack into new capabilities and uses</li>
</ul>
<p> </p>
<p><strong>We’d love to chat if you have:</strong></p>
<p><strong>Qualifications</strong></p>
<ul>
<li>BS/BA in Computer Science, Information Systems, Mathematics, or a related field (or equivalent experience)</li>
<li>5+ years in Data Engineering or combination of Software + Data Engineering roles</li>
<li>3+ years in financial services and/or SaaS environments</li>
<li>Proven track record of integrating customer data into business operations from the ground up</li>
<li>Strong candidates bring software engineering, developer operations (DevOps), or enterprise data systems experience</li>
</ul>
<p><strong>Competencies</strong></p>
<ul>
<li>Expert proficiency in SQL (multiple dialects preferred) and Python</li>
<li>Deep understanding of ETL/ELT design patterns, data ingestion methods, and orchestration frameworks </li>
<li>Advanced knowledge of both normalized database design and warehouse data modeling</li>
<li>Demonstrate ... (truncated, view full listing at source)
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