Staff Data Engineer — Remote-First Data Platform Lead

Webflow; United States; Remote; USD 213,000 - 255,000; Full time

Benefits offered by this job

Equity (RSUs) for permanent employees

Health coverage for employees and/or…

Parental leave and extended paid leave

Flexible vacation and holidays

Mental health resources

Job summary

Webflow is hiring a Staff Data Engineer to own and drive key data platform initiatives across the data lake, event instrumentation, quality, and governance in a remote-first setup in the United States.

You will design data solutions across batch, streaming, and real-time workloads, build reliable pipelines with Spark, Kafka, Iceberg, and Airflow/MWAA, and contribute to data lake evolution, governance, and privacy across pipelines.

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.

Responsibilities

• 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.

Skills

Programming

SQL

Spark

Kafka

Airflow/MWAA

CI/CD

Python/Scala

Education

BA/BS degree or equivalent experience

Tools

Spark

Kafka

Iceberg

Airflow/MWAA

EMR on EKS

Druid

Job description

Webflow is hiring a Staff Data Engineer to own and drive key data platform initiatives across the data lake, event instrumentation, quality, and governance in a remote-first setup in the United States.

You will design data solutions across batch, streaming, and real-time workloads, build reliable pipelines with Spark, Kafka, Iceberg, and Airflow/MWAA, and contribute to data lake evolution, governance, and privacy across pipelines.