[Hiring] Staff Data Engineer @Webflow

Role Description

We’re looking for a Staff Data Engineer who can take ownership of and drive key initiatives across Data Platform Engineering, including the data lake, event instrumentation, data quality, and data governance.

• Location: Remote-first (United States)
• Full-time
• Permanent
• Exempt

The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. The specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills.

• Zone A: $212,500 - $255,000
• Zone B: $200,000 - $240,000
• Zone C: $186,500 - $224,000

This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level.

Application deadline: applications accepted on an ongoing basis until position is closed and filled.

Reporting to the Manager, Data Engineering.

As a Staff Data Engineer, you'll…

• 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 data lake and data platform, including ingestion, processing, storage, and serving patterns.
• Build, maintain and scale cloud data infrastructure that includes Kafka, Airflow, Druid, 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 standards for event instrumentation and governance, 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, enabling agents to safely generate, review, and operate on data platform code.
• Contribute hands-on to complex technical initiatives, troubleshoot production issues, mentor engineers, and collaborate with Analytics Engineering and other teams.
• Build agent harnesses that embed data engineering standards, pipeline patterns, and quality gates into AI-assisted development workflows.

Qualifications

• 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, 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.

Requirements

• Can navigate ambiguous problems, evaluate architectural tradeoffs, and make pragmatic technical decisions.
• Think beyond individual pipelines and consider the end-to-end data ecosystem, from data producers through downstream consumers.
• Bring experience with data governance and privacy, including PII management, retention, deletion, data residency, GDPR, or CCPA.
• Bring experience with event instrumentation and governance, including event schemas, validation, and schema evolution.
• Collaborate with engineers on complex technical problems and help establish practical engineering best practices.
• Embrace AI and emerging technologies, applying them in your development workflow and helping the team adopt new tools through shared learnings and best practices.
• Stay curious and open to growth demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.

Benefits

• Ownership in what you help build: Every permanent Webflower receives equity (RSUs) in our growing, privately held company.
• Health coverage that actually covers you: Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums.
• Support for every stage of family life: 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents.
• Time off that’s actually off: Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired.
• Wellness for the whole you: Access to mental health resources, therapy, and coaching.
• Invest in your future: A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally.
• Monthly stipends that flex with your life: Localized support for work and wellness expenses — from Wi-Fi to workouts.
• Bonus for building together: All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.