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BILL

Senior Staff Data Engineer

RemoteUnited States only
Published
Role
Data Engineering
Experience
Staff
Employment
Full-time
$195.8k–$244.8k/yr
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Open to US only. Set where you work from to check your eligibility.

No BS summary

Senior Staff Data Engineer for US-based candidates, focused on large-scale data platforms and infrastructure. Needs 8+ years in data/distributed/software engineering, 5+ years on data platform teams, expert SQL, strong Python, and hands-on streaming, batch, lakehouse, and serving-layer experience.

Core skills

SQLPythonData platforms

Required skills

Kafka/Flink/Spark StreamingCDCAirflow/dbt/Spark/AWS GlueApache Iceberg/Delta LakeTrino/Starburst/PrestoCI/CD

What you'll do

  • 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.

What they require

  • 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.
  • Preferred: 3+ years of experience in financial services, fintech, or SaaS companies.
  • Preferred: Experience building self-serve data platforms or developer-facing infrastructure tooling.
  • Preferred: Experience working in fintech, financial data, or highly regulated data environments.

Benefits

  • Medical, dental, vision, life and disability insurance
  • 401(k) retirement plan
  • Flexible spending & health savings account
  • Paid holidays
  • Paid time off
  • Other company 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

BILL replaces outdated financial processes with financial automation tools to help businesses make smarter decisions and gain control of their operations.

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Details

Apply routeGreenhouse
$195.8k–$244.8k/yr