Staff Data Engineer

🔥 13 hours ago

🇺🇸 United States – Remote

💵 $186.5k - $255k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

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Logo of Webflow

Webflow

501 - 1000 employees

Founded 2013

☁️ SaaS

🌐 Web 3

🛍️ eCommerce

💰 $120M Series C on 2022-03

SaaS • Web 3 • eCommerce

Webflow is a company that provides a visual web development platform to design and build professional websites without code. It enables designers to create and customize websites using a drag-and-drop interface and a powerful CMS, generating clean, production-ready code in the process. Webflow caters to web designers, developers, and businesses looking to streamline their web development process and improve collaboration between teams. Its platform is suited to creating responsive websites tailored to mobile, tablet, and desktop devices, offering a comprehensive solution for users needing creative and technical flexibility in web design.

📋 Description

• Own and drive key initiatives across Data Platform Engineering • Design data solutions across batch, streaming, and real-time workloads • Design and build reliable data pipelines using Spark, Kafka, Iceberg, and Airflow/MWAA • Evolve the data lake and data platform across ingestion, processing, storage, and serving • Build, maintain, and scale cloud data infrastructure including Kafka, Airflow, Druid, and EMR on EKS • Improve data quality, observability, reliability, and governance across pipelines and systems • Define standards for event instrumentation and governance, including schemas, validation, and schema evolution • Build platform solutions for PII handling, data retention, deletion, and residency supporting GDPR and CCPA • Build agent harness capabilities embedding data engineering standards, pipeline patterns, and quality gates into AI tools and workflows • Troubleshoot production issues and contribute hands-on to complex technical initiatives • Mentor engineers and collaborate with Analytics Engineering and other teams • Report to the Manager, Data Engineering

🎯 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 • Experience designing batch, real-time, and streaming data solutions using 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 • Experience leading complex data engineering initiatives end-to-end • Strong programming and SQL skills • Ability to navigate ambiguous problems and evaluate architectural tradeoffs • End-to-end data ecosystem understanding • 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 collaborate on complex technical problems and establish engineering best practices • Willingness to embrace AI and emerging technologies • Valid right-to-work authorization depending on country of employment

🏖️ Benefits

• Equity (RSUs) for every permanent Webflower • Comprehensive medical, dental, and vision plans for full-time employees and dependents, with Webflow covering most premiums • 12 weeks of paid parental leave for all parents • 6+ weeks of additional paid leave for birthing parents • Inclusive care for family planning, menopause, and midlife transitions • Flexible vacation • Paid holidays • Sabbatical program • Mental health resources, therapy, and coaching • 401(k) with 100% employer match up to $6,000/year in the U.S. • Support for retirement savings globally • Monthly stipends for work and wellness expenses, including Wi-Fi and workouts • Eligibility for annual WIN bonus program • Potential eligibility for temporary employees for paid holidays, time off, statutory leaves, and company-sponsored medical benefits depending on contract and location

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