Senior Data Platform Engineer — Remote & Platform Leadership

BILL

United States

On-site

USD 176,200 - 208,100

Full time

14 days+
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Benefits offered by this job

100% paid employee health, dental, and
Vision plans
HSA & FSA accounts
Life Insurance, Disability coverage
Employee Assistance Program

Job summary

BILL is building the data platform that underpins our AI and fintech initiatives. We seek a leader who can design and operate large-scale data infrastructure, mentor engineers, and partner with analytics, ML, Risk, and payments to deliver durable platform solutions.

You will drive architecture, implement end-to-end data workflows, and raise the bar for reliability, cost efficiency, and developer experience across the BILL data stack.

Qualifications

  • Bachelor’s degree in CS, engineering or equivalent work experience.
  • 8+ years in data engineering or software with a data infra focus.
  • 5+ years on data platform, data infrastructure, or data systems teams.
  • Expert-level SQL and strong Python, with CI/CD and observability.

Responsibilities

  • Drive platform-wide architectural decisions.
  • Own end-to-end data lifecycle infrastructure across ingest to serving.
  • Define technical direction for cross-cutting problems like streaming vs batch.
  • Deliver new capabilities from inception to GA with reference implementations and SLAs.
  • Mentor senior engineers and shape engineering quality across BILL.
  • Collaborate with ML/AI, Risk, Payments, and Analytics teams to translate needs.

Skills

Data engineering
Distributed systems
Python
SQL
CI/CD
Data infrastructure
Mentoring
Streaming

Education

Bachelor's degree in CS/Engineering

Tools

Kafka
Flink
Spark
Airflow
dbt
Starburst/Trino
Iceberg/Delta Lake

Job description

BILL is building the data platform that underpins our AI and fintech initiatives. We seek a leader who can design and operate large-scale data infrastructure, mentor engineers, and partner with analytics, ML, Risk, and payments to deliver durable platform solutions.

You will drive architecture, implement end-to-end data workflows, and raise the bar for reliability, cost efficiency, and developer experience across the BILL data stack.

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