Senior Staff Data Engineer

United States Digital Space LLC; United States; Hybrid; USD 196,000 - 245,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k)

Paid holidays

Paid time off

Job summary

BILL’s Data Platform team designs and operates BILL’s core data infrastructure, enabling real-time and batch processing across the organization. You will own critical data platform capabilities from ingestion to serving, including the feature store, query engine, knowledge graph, and search, while guiding cross-team standards and architectural choices.

You will innovate at scale, migrate workloads, and partner with ML/AI, Risk, Payments, and Analytics teams to deliver durable platform solutions.

Qualifications

• Bachelor's 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 on data platform, data infrastructure, or data systems teams (not purely analytics).
• Expertise in distributed systems design for data workloads, including streaming, batch, and real-time serving trade-offs.
• Hands-on with event streaming platforms (Kafka, Flink, Spark Streaming) and CDC-based ingestion patterns.
• Strong batch processing experience (Airflow, dbt, Spark/Glue).
• Experience with modern open table formats and data lake architectures (Iceberg, Delta Lake).
• Familiarity with data access and serving layers (Trino/Starburst, Presto), feature stores, vector stores, or graph databases.
• Expert-level SQL and strong Python, with good CI/CD, testing, observability.

Responsibilities

• Drive platform-wide technical decisions and mentor the team.
• Own and evolve critical infrastructure across the full data lifecycle.
• Architect and own data platform capabilities end-to-end (ingestion to serving).
• Define technical direction for cross-cutting problems and real-time serving architectures.
• Drive design and delivery of new capabilities from inception to GA with reference implementations and SLAs.
• Establish and maintain architectural standards and engineering patterns.
• Lead multi-phase migrations and infrastructure modernization.
• Partner with other BILL teams to translate data needs into durable platform solutions.
• Mentor senior engineers and shape engineering culture and quality.
• Own and continuously improve production systems for reliability and cost efficiency.

Skills

Data platform design

Distributed systems

SQL

Python

CI/CD

Observability

Technical leadership

Education

Bachelor's degree in CS/Engineering

Tools

Kafka

Flink

Spark Streaming

dbt

Airflow

Trino/Starburst

Iceberg/Delta Lake

Job description

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

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 USD

Zone 2: CA (Non San Francisco Bay Area and Los Angeles County), Austin TX, Massachusetts

$176,200-$220,300 USD

Zone 3: Utah (includes Utah office), Dallas TX, Houston TX, Florida, North Carolina, Illinois, Colorado, Arizona, Georgia, Oregon, Pennsylvania

$166,400-$208,100 USD

What’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 P