Jobs / United States / Webflow Europe UK Ltd
Staff Data Engineer
Webflow Europe UK Ltd · 🇺🇸 U.S. Remote · Remote
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereThis employer does not appear with approvals in the government data SponsorApply holds.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Why not apply?
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
SponsorApply flags time-wasters so your applications go where they can land. These come from the posting's own wording — read the original listing to confirm. See better-fit alternatives →
Sponsor Radar — Webflow Europe UK Ltd
This employer does not appear with approvals in the government data SponsorApply holds.
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Webflow Europe UK Ltd →
About the role
Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. 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. About the role: • 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. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills. • United States (all figures cited below are in USD and pertain to workers in the United States) • 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. Payouts are based on company performance against established financial and operational goals. Please visit our Careers page for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. • Application Information: • Application deadline: applications accepted on an ongoing basis until position is closed and filled • This posting is for an existing vacancy • 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. About you: Requirements: • 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 wi