Data Engineer

Data Engineer - Nike Inc.- Beaverton, OR. Design and implement 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; design and implement distributed data processing pipelines using tools and languages prevalent in the Hadoop or Cloud ecosystems; build utilities, user defined functions, and frameworks to better enable data flow patterns; build and develop job orchestration and scheduling using Airflow; research, evaluate and utilize new technologies/tools/frameworks centered around high-volume data processing; define and apply appropriate data acquisition and consumption strategies for given technical scenarios; build and incorporate automated unit tests and participate in integration testing efforts; work with architecture/engineering leads and other teams to ensure quality solutions are implemented, and engineering best practices are defined and adhered to; and work across teams to resolve operational and performance issues. Telecommuting is available from anywhere in the U.S., except from AK, AL, AR, DE, HI, IA, ID, IN, KS, KY, LA, MT, ND, NE, NH, NM, NV, OH, OK, RI, SD, VT, WV, and WY.

Must have a Master's Degree in Computer Science, Engineering, Computer Information Systems, Electronics and Communications, or Technology and 2 years of experience in the job offered or a data engineering related occupation.

Experience must include:

• Programming languages such as Python, Java, and Scala;

• Big Data Frameworks such as Hadoop, Hive, Spark, and Databricks;

• ETL Tools such as Informatica and PLSQL;

• Scripting such as Unix, and PowerShell;

• Databases, such as Oracle, MYSQL, SQL Server, Teradata, and Snowflake;

• Cloud Technologies such as AWS, Azure Cloud, EC2, S3, Azure Blob, API Gateway, Aurora, EC2, RDS, Elastic Cache, and Spark Streaming;

• Analytics Tools, such as Tableau and Azure Analysis Services;

• Agile Teams;

• Source Control tools such as Github and related dev process; and

• Airflow

Apply at www.Nike.com/Careers (Job# R-76207)

#LI-DNI

We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

Client-provided location(s): Beaverton, OR

Job ID: nike-21272_R-76207

Employment Type: OTHER

Posted: 2026-01-23T17:16:03