Data Engineer

Nike Inc; Beaverton (OR); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Nike, Inc. in Beaverton, OR is seeking a Data Engineer to design, build and maintain data pipelines powering analytics across supply chain, product and consumer insights.

You will work with PySpark, Databricks, Airflow and cloud infrastructure on AWS or Azure, collaborating with analysts, scientists and product teams to deliver scalable data solutions.

Qualifications

• 5+ years in data engineering or related data infrastructure role.
• Proficiency in Python, PySpark, Databricks and SQL.
• Terraform and cloud infra experience in AWS or Azure.
• Strong data modelling skills; Snowflake/ streaming exp a plus.

Responsibilities

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

Skills

Python

PySpark

SQL

Terraform

AWS

Azure

Data modelling

Snowflake

Real-time streaming

Airflow

Tools

Databricks

Airflow

Job description

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.

WHAT YOU WILL DO

• 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.

WHAT YOU BRING

• 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.