Staff Data Engineer

United States · Remotefull timeRemote

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senior

$213k–$255k

H1B: yes

Webflow Staff Data Engineer at Webflow responsible for designing data solutions and building reliable data pipelines across batch, streaming, and real-time workloads. This role includes ownership of data lake evolution, data quality, governance, and cloud data infrastructure.

Responsibilities

Location: Remote-first (United States)
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

Qualification

BA/BS degree or equivalent experienceExperience designing batchExperience implementing data qualityStrong Programming and SQL skillsCan navigate ambiguous problems

Required

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.
You’ll thrive as a Staff Data Engineer if you:
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.

Benefits

Medical
Dental
Vision
401(k)
Equity/RSU
Parental Leave
Wellness

Company

Webflow

View company page

Source: ashby

Active within the past hour

Remote-friendly

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SparkKafkaIcebergAirflowMWAADruid

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