Webflow
Staff Data Engineer
$186K–$255K
United States · Remote · Staff · Full-time · Posted Oct 20, 2026
- Experience
- 5+ years in data engineering; no alternative stated.
- Education
- BA/BS degree or equivalent experience.
- Visa sponsorship
- A valid right to work authorization is required depending on the country of employment.
About the job
Leads data platform engineering initiatives, designing and operating scalable data pipelines and infrastructure while strengthening data quality, governance, and AI-assisted engineering workflows.
What you'll do
- Design and build batch, streaming, and real-time data solutions and pipelines.
- Evolve and operate data lake and cloud platform infrastructure, improving reliability, observability, quality, and governance.
- Build agent harnesses that encode engineering standards and quality gates into AI-assisted development workflows; mentor engineers and lead complex initiatives.
What they ask for
- BA/BS degree or equivalent experience.
- 5+ years of experience in data engineering building and operating production data pipelines and platforms.
- Strong experience with Spark and distributed data processing; experience designing batch, real-time, and streaming solutions.
- Experience with data quality, observability, and reliability; cloud data infrastructure, CI/CD, and infrastructure-as-code; and leading complex initiatives end-to-end.
Nice to have
- Experience with data governance and privacy, including PII management, retention, deletion, data residency, GDPR, or CCPA.
- Experience with event instrumentation and governance, including event schemas, validation, and schema evolution.
Pay
$212,500 - $255,000 USD base salary; $200,000 - $240,000 USD base salary; $186,500 - $224,000 USD base salary
Tools
Spark, Kafka, Iceberg, Airflow/MWAA, Druid, EMR on EKS, Spark Structured Streaming, CDC
AI focus
Build agent harnesses that encode data engineering standards, pipeline patterns, and quality gates into AI tools and workflows so agents can generate, review, and operate on data platform code safely; apply AI in development workflows and support team adoption.
Model-written summary · the original posting is authoritative