Senior Data Engineer: Big Data & Cloud Pipelines

Nike Inc

Beaverton (OR)

On-site

USD 140,000 - 190,000

Full time

14 days+

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Job summary

Nike, Inc. in Beaverton, OR is seeking a Data Engineer 4 to design and build large-scale data products. You will collaborate with product owners, data analysts, and partners, translating backlog items into engineering work and delivering robust data processing solutions.

The role requires 10+ years in software with 5+ in big data, and proficiency in Python or Scala, Hadoop, Spark, Hive, Airflow, and SQL. You will contribute to architecture, CI/CD, testing, and cross-team collaboration in an

Qualifications

  • Bachelor's degree in Computer Science or a related technical discipline.
  • 10+ years of experience in large-scale software development, 5+ years in big data.
  • Proficiency in Python or Scala.
  • Experience with Hadoop and processing frameworks like Spark and Hive.
  • Experience with messaging/streaming tools and SQL analytics functions.
  • Experience with Airflow and source control (GitHub/Bitbucket).
  • Strong Agile/Scrum experience and ability to work across teams.

Responsibilities

  • Contribute to design and implement data products and features with product owners, analysts, and business partners using Agile/Scrum.
  • Contribute to architecture, frameworks, and patterns for processing and storing large data volumes.
  • Translate backlog items into engineering work and build distributed data processing pipelines.
  • Build utilities and libraries to enable data flow patterns and maintain high quality solutions.
  • Develop automated tests and participate in CI/CD efforts.

Skills

Python
Scala
SQL
Agile/Scrum
Communication

Education

Bachelor's degree in Computer Science

Tools

Hadoop
Spark
Hive
Airflow
Github
Bitbucket
AWS
Snowflake
NoSQL (HBase, DynamoDB)
Terraform
Jenkins/CircleCI

Job description

Nike, Inc. in Beaverton, OR is seeking a Data Engineer 4 to design and build large-scale data products. You will collaborate with product owners, data analysts, and partners, translating backlog items into engineering work and delivering robust data processing solutions.

The role requires 10+ years in software with 5+ in big data, and proficiency in Python or Scala, Hadoop, Spark, Hive, Airflow, and SQL. You will contribute to architecture, CI/CD, testing, and cross-team collaboration in an

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