Senior Staff Data Engineer
Bill.com is hiring a Senior Staff Data Engineer for a remote role open to applicants in United States. Level rates it ; you can apply on Bill.com.
Level's read on this job
- Level rates this data engineer role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting lists this role as remote.
- Tools and skills the posting cites include Databricks, Neo4j and Opensearch.
- Level classifies it as a lead role.
- Level lists 44 other open roles at Bill.com.
AI in this role
Senior Staff Data Engineer to build core data infrastructure and power AI capabilities at BILL.
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 By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations.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. We're remote-first, with office spaces in San Jose, CA and Draper, UT — and opportunities to connect in person when it counts. 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 Platform team builds and operates BILL’s core data infrastructure, providing the end-to-end foundation that collects, stores, processes, governs, and serves data so every team at BILL can use it. We own the full data stack: inbound and outbound data lake, real-time streaming pipelines, batch processing, and data access layers including a Starburst query engine, Databricks Feature Store, Neo4j Knowledge Graph, and OpenSearch. Some capabilities require real-time access with strict low-latency SLAs.
Our charter is to simplify the data landscape and power AI at BILL. To achieve this, we focus on building scalable platform capabilities rather than creating one-off pipelines or analytics reports. Engineers here work at the systems level: designing architectures, incubating new capabilities, setting standards, and enabling the rest of BILL to self-serve. The team sits within the CTO organization.
Responsibilities:
- Operate at the architectural level, driving platform-wide technical decisions and mentoring the team.
- Own and evolve critical infrastructure across the full data lifecycle, spanning ingest, store, enrich, query, and serve.
- Architect and own critical data platform capabilities end-to-end, from inbound ingestion through data lake storage to downstream serving, including the feature store, query engine, knowledge graph, and search.
- Define technical direction for the team’s most complex, cross-cutting problems, such as streaming versus batch trade-offs, schema contracts, data access patterns, and real-time serving architectures.
- Drive design and delivery of new capabilities from inception to GA, including reference implementations, SLAs, and clear ownership handoff models.
- Establish and maintain architectural standards and engineering patterns adopted across the organization.
- Lead multi-phase technical migrations at enterprise scale, including compute platform upgrades, warehouse-to-lake migrations, and infrastructure modernization.
- Partner with engineering teams across BILL, such as ML/AI, Risk, Payments, and Analytics, to translate diverse data needs into durable platform solutions.
- Mentor senior and staff engineers, actively shaping the technical culture and engineering quality bar of the team.
- Own and continuously improve critical production systems with a focus on reliability, cost efficiency, and a self-serve developer experience.
We’d love to chat if you have:
- Bachelors degree in Computer Science, Engineering, Mathematics, or equivalent work experience.
- 8+ years of experience in data engineering, distributed systems, or software engineering with a heavy focus on data infrastructure.
- 5+ years of experience specifically on data platform, data infrastructure, or data systems teams, rather than purely analytics or BI roles.
- Expertise in distributed systems design for data workloads, including a deep understanding of streaming, batch, and real-time serving trade-offs.
- Hands-on experience with event streaming platforms (such as Kafka, Flink, Spark Streaming, or equivalent) and CDC-based ingestion patterns.
- Strong proficiency with batch processing stacks (such as Airflow, dbt, Spark/Glue, or equivalent).
- Experience with modern open table formats and data lake architectures, including Apache Iceberg, Delta Lake, or equivalent frameworks.
- Familiarity with data access and serving layers, including query engines (Trino/Starburst, Presto), feature stores, vector stores, or graph databases.
- Expert-level SQL and strong Python skills, backed by solid software engineering fundamentals such as CI/CD, testing, and observability.
- Demonstrated experience architecting and operating large-scale, production-grade data platforms.
- A proven track record operating as a technical lead, with the ability to drive ambiguous, high-impact projects from first principles to production.
- The ability to define technical standards that hold across organizational boundaries rather than just within a single team.
Desired Qualifications:
- 3+ years of experience in financial services, fintech, or SaaS companies.
- Experience building self-serve data platforms or developer-facing infrastructure tooling.
- Experience working in fintech, financial data, or highly regulated data environments.
Our ranges for each role and job level are based on a variety of factors including candidate experience, expertise, and geographic location and may vary from the amounts listed below. The role is also eligible for a competitive benefits package that includes: medical, dental, vision, life and disability insurance, 401(k) retirement plan, flexible spending & health savings account, paid holidays, paid time off, and other company benefits. The estimated salary ranges noted below roles in the specific geographic zones
Zone 1: San Francisco Bay Area CA (includes HQ), New York City, Seattle, Los Angeles County$195,800—$244,800 USDZone 2: CA (Non San Francisco Bay Area and Los Angeles County), Austin TX, Massachusetts$176,200—$220,300 USDZone 3: Utah (includes Utah office), Dallas TX, Houston TX, Florida, North Carolina, Illinois, Colorado, Arizona, Georgia, Oregon, Pennsylvania$166,400—$208,100 USDWhat’s in it for you?
Redefining how businesses automate their work is a fast-paced, exciting, and fun environment. But we also have benefits and perks to ensure the magic isn’t only experienced by our customers, but by our employees as well.
Here is a preview of some of the amazing benefits here at BILL:
- 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
- And much more
Don’t believe us? Check out our culture, benefits, and teams on our career site, LinkedIn Life, or YouTube pages.
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 interviewaccommodations@hq.bill.com. 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.
Our Applicant Privacy Notice describes how BILL treats the personal information it receives from applicants.
How we rate this
Senior Staff Data Engineer at Bill.com rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data engineer jobs at this level
Pay
- Typical data engineer job
- $150k
This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs
Questions you could be asked
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where data architecture was part of your work. What did you do?
- Tell me about a project where streaming pipelines was part of your work. What did you do?
- Walk me through how you've used Databricks in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Engineering, Distributed Systems, Data Architecture, Streaming Pipelines, and Databricks. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.
Get new remote data engineer jobs (Works on AI ●●●○ or higher) by email
One email a week with the new remote data engineer jobs (Works on AI ●●●○ or higher), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Data roles that work on AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step