Data Engineer III

Chewy Chewy · Retail · Bellevue, WA

Data Engineer III role at Chewy focused on building and maintaining end-to-end analytics data pipelines, scalable data models, and semantic layers to support product strategy, data science research, and machine learning strategy. The role involves translating business needs into data solutions, ensuring data quality, and mentoring peers. Requires expertise in data engineering tools like Airflow, Spark, Databricks, and cloud platforms like AWS, with a focus on SQL and Python.

What you'd actually do

  1. Own the design, development, and reliability of end-to-end analytics data pipelines
  2. Build and maintain scalable, analytics-ready data models and semantic layers
  3. Translate complex and ambiguous business needs into durable data solutions
  4. Develop high-quality data products that enable self-service for Analytics and Data Science partners
  5. Define, implement, and uphold analytic data engineering standards (modeling, testing, documentation, governance)

Skills

Required

  • ETL
  • Data Modeling
  • Data Architecture
  • Airflow
  • Spark
  • PySpark
  • Docker
  • Databricks
  • Glue
  • Snowflake
  • Kafka
  • Athena
  • AWS
  • Python
  • SQL
  • GitHub

Nice to have

  • Retail Media or Ad Tech

What the JD emphasized

  • 5+ years of experience in Data Engineering or Business Intelligence roles working with ETL, Data Modeling, and Data Architecture, developing modem data pipelines and applications for analytics (e.g., BI, reporting, dashboards) and advanced analytics (e.g., machine learning, deep learning) use cases.