Webflow
Staff Data Engineer
RemoteUnited States only
- Role
- Fullstack
- Experience
- Staff
- Employment
- Full-time
$212.5k–$255k/yr
Check eligibility
Open to US only. Set where you work from to check your eligibility.
No BS summary
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.
Core skills
Spark/Kafka/Iceberg/Airflow/MWAA
Required skills
SQLCI/CD/Infrastructure-as-Code
What you'll do
- 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.
What they require
- 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.
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. Plus inclusive care for family planning, menopause, and midlife transitions.
- 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.
Webflow is the leading agentic web platform for modern businesses. Design, build, optimize, and rank in AI search — all in Webflow. Enterprise-grade security, CMS, hosting, and AEO built in.
$212.5k–$255k/yr