Senior Data Platform Engineer (Remote)

Webflow, Inc.; Northern (KY); Hybrid; USD 200,000 - 255,000; Full time

Benefits offered by this job

Equity (RSUs)

Health coverage

Parental leave

Flexible vacation

Mental health resources

401(k) match

Stipends for life

Job summary

Webflow is seeking a Staff Data Engineer to own key initiatives across Data Platform Engineering, including data lake, event instrumentation, data quality, and governance. The role is remote-first in the United States and offers zone-based US salary bands plus a company-wide bonus program.

You will design data solutions across batch, streaming, and real-time workloads, build reliable pipelines with Spark, Kafka, and Airflow, and work on data lake evolution, ingestion, processing, and serving

Qualifications

• 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 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.

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

5+ years data engineering

Strong programming & SQL

Education

BA/BS or equivalent

Tools

Spark

Kafka

Iceberg

Airflow/MWAA

Druid

EMR on EKS

CDC

Job description

Webflow is seeking a Staff Data Engineer to own key initiatives across Data Platform Engineering, including data lake, event instrumentation, data quality, and governance. The role is remote-first in the United States and offers zone-based US salary bands plus a company-wide bonus program.

You will design data solutions across batch, streaming, and real-time workloads, build reliable pipelines with Spark, Kafka, and Airflow, and work on data lake evolution, ingestion, processing, and serving