Data Engineer

Job Overview

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, , 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.

• 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 Power Shell;
• 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  (Job# R-76207)

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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.