Data Engineer 5

Nike; Beaverton (OR); On-site; USD 120,000 - 180,000; Full time

Job summary

Nike Beaverton is seeking a highly experienced Data Engineer 5 to design and implement data products within an agile team. You will contribute to the architecture for processing large data volumes and help evaluate new technologies in a fast-paced environment.

The role requires strong Python/Scala programming, experience with Hadoop/Spark/Hive, and proficiency in SQL and Airflow, with collaboration across product owners and data analysts.

Qualifications

• Bachelor's degree in Computer Science or related technical discipline.
• 10+ years of experience in large-scale software development; 5+ years in big data.
• Programming with Python or Scala; experience with Hadoop/Spark/Hive.
• Experience with messaging/streaming tooling and data warehousing concepts.
• Experience with Airflow, GitHub/Bitbucket, and CI/CD tooling.

Responsibilities

• Contribute to design and implement data products with product owners and data analysts.
• Help shape architecture and patterns for large-volume data processing.
• Evaluate new technologies and frameworks for big data use cases.
• Translate backlog items into engineering work units.
• Build distributed data processing pipelines and data flow utilities.
• Ensure code quality with unit tests and integration tests.
• Advance CI/CD practices and troubleshoot data issues across teams.

Skills

10+ years in large-scale software dev

5+ years in big data

Python

Scala

Hadoop

Spark

Hive

Messaging/streaming tooling

SQL

Airflow

GitHub/Bitbucket

Agile/Scrum

Jenkins/CircleCI

Terraform/CloudFormation

AWS

Databricks

Snowflake

NoSQL (HBase/DynamoDB)

Education

Bachelor's degree in Computer Science

Tools

GitHub/Bitbucket

Apache Airflow

Terraform

CloudFormation

Jenkins

CircleCI

AWS

Databricks

Snowflake

Hadoop

Spark

Hive

Job description

Title: Data Engineer 5

Location: Beaverton, OR

Duration: 8 months contract

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.

WHAT YOU WILL WORK ON

Role Responsibilities:

• Contribute to Design and implement data products and features in collaboration with product owners, data analysts, and business partners using Agile / Scrum methodology
• Contribute to overall architecture, frameworks and patterns for processing and storing large data volumes
• Contribute to evaluation of new technologies/tools/frameworks centered around high-volume data processing
• Translate product backlog items into logical units of work in engineering
• Implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem
• Build utilities, user defined functions, libraries, and frameworks to better enable data flow patterns
• Work with engineering leads and other teams to ensure quality solutions are implemented, and engineering best practices are defined and followed
• Build and incorporate automated unit tests and participate in integration testing efforts
• Utilize and advance continuous integration and deployment frameworks
• Troubleshoot data issues and perform root cause analysis
• Work across teams to resolve operational & performance issues

WHAT YOU BRING

The following qualifications and technical skills will position you well for this role:

• Bachelor’s degree in Computer Science, or related technical discipline
• 10+ years of experience in large-scale software development, 5+ years of big data experience
• Programming experience, Python or Scala preferred.
• Experience working with Hadoop and related processing frameworks such as Spark, Hive, etc.
• Experience with messaging/streaming/complex event processing tooling and frameworks
• Experience with data warehousing concepts, SQL and SQL Analytical functions
• Experience with workflow orchestration tools like Apache Airflow
• Experience with source code control tools like Github or Bitbucket
• Ability to communicate effectively, both verbally and written, with team members
• Interest in and ability to quickly pick up new languages, technologies, and frameworks
• Experience in Agile/Scrum application development

The following skills and experience are also relevant to our overall environment, and nice to have:

• Experience with Java
• Experience working in a public cloud environment, particularly AWS, databricks
• Experience with cloud warehouse tools like Snowflake
• Experience working with NoSQL data stores such as HBase, DynamoDB, etc.
• Experience building RESTful API’s to enable data consumption
• Experience with build tools such as Terraform or CloudFormation and automation tools such as Jenkins or Circle CI
• Experience with practices like Continuous Development, Continuous Integration and Automated Testing

These are the characteristics that we strive for in our own work. We would love to hear from candidates who embody the same:

• Desire to work collaboratively with your teammates to come up with the best solution to a problem
• Demonstrated experience and ability to deliver results on multiple projects in a fast-paced, agile environment
• Excellent problem-solving and interpersonal communication skills
• Strong desire to learn and share knowledge with others