Staff Data Engineer @Webflow

Overview

Webflow is seeking a Staff Data Engineer to drive key initiatives across Data Platform Engineering, focusing on the data lake, event instrumentation, data quality, and data governance. This position is remote-first and permanent, catering to the United States.

Key Responsibilities

• Design data solutions across batch, streaming, and real-time workloads.
• Build reliable data pipelines using Spark, Kafka, Iceberg, and Airflow/MWAA.
• Contribute to the evolution of the data lake and data platform.
• Maintain and scale cloud data infrastructure ensuring reliability and observability.
• Implement data quality, observability, reliability, and governance across data pipelines.
• Define standards for event instrumentation and governance.
• Support GDPR and CCPA requirements for data handling.
• Mentor engineers and collaborate with other teams on complex technical initiatives.

Requirements

• BA/BS degree or equivalent experience.
• 5+ years of experience in data engineering.
• Strong background in Spark and distributed data processing.
• Experience with technologies such as Kafka, Spark Structured Streaming, and CDC.
• Proficiency in cloud data infrastructure and CI/CD.
• Experience leading data engineering initiatives from design to production.
• Strong programming and SQL skills.

Benefits

• Equity (RSUs) in the company.
• Comprehensive medical, dental, and vision plans.
• 12 weeks of paid parental leave plus additional leave for birthing parents.
• Flexible vacation, paid holidays, and sabbatical program.
• Mental health resources and wellness support.
• 401(k) with 100% employer match up to $6,000/year.
• Monthly stipends for work and wellness expenses.
• Annual WIN bonus program for full-time employees.

Location

Remote-first (United States)

How to Apply

Applications are accepted on an ongoing basis until the position is filled.

Deadline

Open until filled.