Staff Data Engineer

Webflow

4d • $186,500 - $255,000 • Remote

About The Position

Webflow is hiring a Staff Data Engineer to own and drive initiatives across Data Platform Engineering, including the data lake, event instrumentation, data quality, and data governance. This remote-first role is based in the United States, is full-time and permanent, and reports to the Manager, Data Engineering.

The role designs solutions for batch, streaming, and real-time workloads; builds reliable pipelines and cloud data infrastructure; and helps evolve the data lake and platform’s ingestion, processing, storage, and serving patterns. It also advances data quality, observability, reliability, governance, event standards, and privacy capabilities that support GDPR and CCPA requirements. The engineer will contribute hands-on to complex initiatives, troubleshoot production issues, mentor engineers, collaborate across teams, and develop AI agent harnesses that help encode data engineering standards and quality gates into development workflows.

The position offers geographic-zone-based U.S. base salary ranges: Zone A, $212,500–$255,000; Zone B, $200,000–$240,000; and Zone C, $186,500–$224,000. Compensation within a zone depends on location and job-related qualifications. The role is also eligible for the company-wide bonus program. Applications are accepted on an ongoing basis until the position is closed and filled; this posting is for an existing vacancy.

Requirements

• BA/BS degree or equivalent experience.
• At least 5 years of experience in data engineering, building and operating production data pipelines and platforms.
• Strong experience with Spark and distributed data processing, including designing and optimizing production data pipelines.
• Experience designing batch, real-time, and streaming data solutions using technologies such as Kafka, Spark Structured Streaming, and CDC.
• Experience implementing data quality, observability, and reliability across production data systems.
• Experience with cloud data infrastructure, CI/CD, and infrastructure-as-code.
• Demonstrated experience leading complex data engineering initiatives end-to-end, from technical design and decomposition through implementation and production.
• Strong programming and SQL skills, with experience building reliable and maintainable data systems.

Nice To Haves

• 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.
• Ability to navigate ambiguous problems, evaluate architectural tradeoffs, and make pragmatic technical decisions.
• Ability to think across the end-to-end data ecosystem, from data producers through downstream consumers.
• Ability to collaborate on complex technical problems and help establish practical engineering best practices.
• Interest in applying AI and emerging technologies in development workflows and helping teams adopt new tools through shared learnings and best practices.

Responsibilities

• Design data solutions across batch, streaming, and real-time workloads.
• Design and build reliable data pipelines using Spark, Kafka, Iceberg, and Airflow/MWAA.
• Contribute to the evolution of the data lake and data platform, including ingestion, processing, storage, and serving patterns.
• Build, maintain, and scale cloud data infrastructure, including Kafka, Airflow, Druid, and EMR on EKS, with reliability and observability in mind.
• Implement and improve data quality, observability, reliability, and governance across data pipelines and systems.
• Define and improve event instrumentation and governance standards, including event schemas, validation, and schema evolution.
• Build platform solutions for centralized PII handling, data retention, deletion, and residency to support GDPR and CCPA requirements.
• Build agent harness capabilities that encode data engineering standards, pipeline patterns, and quality gates into AI tools and AI-assisted development workflows.
• Contribute hands-on to complex technical initiatives and troubleshoot production issues.
• Mentor engineers and collaborate with Analytics Engineering and other teams.
• Lead complex data engineering initiatives from technical design and decomposition through implementation and production.

Benefits

• Equity in the form of RSUs for permanent employees.
• Medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums.
• 12 weeks of paid parental leave for all parents and 6 or more additional weeks of paid leave for birthing parents.
• Inclusive care for family planning, menopause, and midlife transitions.
• Flexible vacation, paid holidays, and a sabbatical program.
• Access to mental health resources, therapy, and coaching.
• 401(k) with 100% employer match up to $6,000 per year in the U.S., and support for retirement savings globally.
• Monthly localized stipends for work and wellness expenses.
• Eligibility for the annual WIN bonus program for full-time, permanent, non-commission employees.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior