Staff Data Engineer

Stack

Responsibilities

• ▹Design data solutions across batch, streaming, and real-time workloads
• ▹Design and build reliable pipelines using Spark, Kafka, Iceberg, and Airflow/MWAA
• ▹Contribute to the evolution of the data lake and data platform
• ▹Build, maintain and scale cloud data infrastructure: Kafka, Airflow, Druid, EMR on EKS
• ▹Implement and improve data quality, observability, reliability, and governance
• ▹Define standards for event instrumentation and governance
• ▹Build platform solutions for PII handling, retention, and GDPR/CCPA compliance
• ▹Embed data engineering standards and quality gates into AI-assisted workflows
• ▹Troubleshoot production issues, mentor engineers, collaborate with Analytics Engineering

Requirements

• ▹BA/BS degree or equivalent experience
• ▹5+ years of data engineering experience building production pipelines and platforms
• ▹Strong experience with Spark and distributed data processing

What we offer

• ▹Remote-first, US-based role
• ▹Base pay: $186,500-$255,000 depending on zone
• ▹Company-wide bonus program

About the company

Webflow is an agentic web marketing platform helping modern marketing teams build and optimize high-performing web experiences.