# Staff Data Engineer

**Company:** [Webflow](https://hotfix.jobs/companies/webflow)
**Location:** Remote
**Role:** Data Engineering
**Salary:** $187k – $255k/yr
**Experience:** 7+ years
**Skills:** Spark, Apache Kafka, Apache Iceberg, Apache Airflow, Druid, Amazon Emr, Kubernetes, Spark Structured Streaming, SQL, Python, CI/CD, Infrastructure As Code, Data Governance, Data Quality, GDPR
**Posted:** 2026-08-28

> Staff Data Engineer leading data platform initiatives across batch, streaming, real-time pipelines, data lake infrastructure, governance, and privacy. Requires 5+ years of data engineering experience, strong Spark and distributed processing expertise, and the ability to lead complex production systems.

## Job Description

## Responsibilities
- Design data solutions for batch, streaming, and real-time workloads.
- Design, build, maintain, and scale reliable data pipelines using Spark, Kafka, Iceberg, and Airflow/MWAA.
- Evolve the data lake and data platform across ingestion, processing, storage, and serving patterns.
- Build and operate cloud data infrastructure including Kafka, Airflow, Druid, and EMR on EKS, with strong reliability and observability.
- Implement data quality, observability, reliability, and governance across data pipelines and systems.
- Define standards for event instrumentation and governance, including event schemas, validation, and schema evolution.
- Build platform solutions for PII handling, data retention, deletion, and data residency supporting GDPR and CCPA requirements.
- Build AI agent harnesses that encode data engineering standards, pipeline patterns, and quality gates into development workflows.
- Lead complex technical initiatives from design through production, troubleshoot issues, mentor engineers, and collaborate with Analytics Engineering and other teams.

## 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 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.
- Experience leading complex data engineering initiatives end to end.
- Strong programming and SQL skills.

## Preferred Qualifications
- Experience with data governance and privacy, including PII management, retention, deletion, data residency, GDPR, or CCPA.
- Experience with event instrumentation and governance, including schemas, validation, and schema evolution.
- Experience evaluating architectural tradeoffs and establishing engineering best practices.
- Experience applying AI and emerging technologies to development workflows.

## Compensation
- United States base salary ranges, depending on geographic zone:
  - Zone A: $212,500–$255,000 USD
  - Zone B: $200,000–$240,000 USD
  - Zone C: $186,500–$224,000 USD
- Eligible for the company-wide bonus program and equity.
- Benefits include health coverage, paid parental leave, flexible vacation, holidays, sabbatical leave, wellness resources, a 401(k) with employer match, and monthly work and wellness stipends.

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