Staff Data Engineer @Webflow

Overview

The role involves working as a Staff Data Engineer at Webflow, a platform that enhances web marketing for organizations. The position is focused on leading key initiatives in Data Platform Engineering, including data lake management and data quality.

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 data lake evolution, focusing on ingestion, processing, storage, and serving patterns.
• Maintain and scale cloud data infrastructure, ensuring reliability and observability.
• Implement data quality, observability, reliability, and governance across systems.
• Define standards for event instrumentation and governance.
• Build solutions for centralized PII handling, data retention, and compliance with GDPR and CCPA.
• Mentor engineers and collaborate on complex technical initiatives.

Requirements

• BA/BS degree or equivalent experience.
• 5+ years in data engineering, with experience in production data pipelines.
• Strong proficiency in Spark and distributed data processing.
• Experience with technologies like Kafka and Spark Structured Streaming.
• Knowledge of cloud data infrastructure and CI/CD.
• Strong programming and SQL skills.

Benefits

• Equity (RSUs) in the company.
• Comprehensive medical, dental, and vision coverage.
• 12 weeks of paid parental leave.
• Flexible vacation and sabbatical program.
• Mental health resources, therapy, and coaching.
• 401(k) with employer match.
• Monthly stipends for work-related expenses.
• Annual bonus for employees.

Location

Remote-first (United States)

How to Apply

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