Senior Data Engineer – Big Data Pipelines & Spark

Nike; Beaverton (OR); On-site; USD 150,000 - 180,000; Full time

Job summary

Nike in Beaverton, Oregon is seeking a Data Engineer IV to design and implement data products within an Agile team. You will help shape architectures for high-volume data processing, building distributed pipelines and utilities to improve data flow.

Strong Python/Scala, Hadoop/Spark/Hive, and Airflow expertise are required. Role requires 10+ years in software and 5+ years in big data, with excellent communication.

Qualifications

• Bachelor’s degree in Computer Science or related field.
• 10+ years of software development experience, 5+ years in big data.
• Proficient in Python or Scala, SQL, and data warehousing concepts.
• Experience with Hadoop/Spark/Hive and Airflow.

Responsibilities

• Design and implement data products with agile teams.
• Help shape architecture for large data volumes and processing frameworks.
• Evaluate new technologies and tools for big data processing.
• Translate product backlog items into engineering work units.
• Build distributed data pipelines using open-source tools.
• Create utilities and libraries to optimize data flow patterns.
• Collaborate with engineering leads to ensure quality solutions and CI/CD practices.
• Develop automated unit tests and participate in integration testing.
• Troubleshoot data issues and perform root cause analysis.
• Collaborate across teams to resolve operational and performance issues.

Skills

Python/Scala

Big data processing

SQL

Agile/Scrum

Distributed systems

Communication

Education

Bachelor’s degree in Computer Science

Tools

Hadoop

Spark

Hive

Airflow

GitHub/Bitbucket

Job description

Nike in Beaverton, Oregon is seeking a Data Engineer IV to design and implement data products within an Agile team. You will help shape architectures for high-volume data processing, building distributed pipelines and utilities to improve data flow.

Strong Python/Scala, Hadoop/Spark/Hive, and Airflow expertise are required. Role requires 10+ years in software and 5+ years in big data, with excellent communication.