Data Engineer

Typical

Title:

Data Engineer | Machine Learning Engineer

Locations
:
Beaverton, OR | Boston, MA

NIKE, Inc. does more than outfit the world's best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At Nike, it’s about each person bringing skills and passion to a challenging and constantly evolving game.

The Data Engineer typically builds and maintains the data infrastructure, pipelines and modelling layers that power decision-making across supply chain, product and consumer analytics.

• Design, build and maintain data pipelines using PySpark, Databricks and Airflow.
• Implement data models and STAR schemas that serve analytics and reporting consumers.
• Build and manage cloud infrastructure in AWS or Azure using Terraform.
• Ensure data quality, lineage and reliability across the pipelines you own.
• Collaborate with data analysts, scientists and product teams to understand requirements and deliver solutions.

• 5+ years experience in data engineering or a related data infrastructure role.
• Proficiency in Python, PySpark, Databricks and SQL.
• Terraform and cloud infrastructure experience in AWS or Azure.
• Strong data modelling skills.
• Snowflake or real-time streaming pipeline experience is a plus.