Nike View Job 

China, Liaoning, Dalian 

594334464

Open to remote work except in South Dakota, Vermont and West Virginia.

The annual base salary for this position ranges from $149,100.00 in our lowest geographic market to $313,900.00 in our highest geographic market. Actual salary will vary based on a candidate's location, qualifications, skills and experience.

Information about benefits can be found .

WHAT YOU WILL WORK ON

In this role, you will build and deliver scalable data and analytics solutions focused on Nike Direct, Supply Chain, and Commercial space. You will design, implement and integrate newtechnologies andevolve data and analytics products. You will contribute to all aspects of data and software engineering from ingestion, transformation, and consumption in addition to designing and building test-driven development, reusable frameworks, automated workflows, and libraries at scale to support analytics products. You will also participate in architecture and design discussions to process and store high-volume data sets.

WHAT YOU BRING

• Bachelor's degree in computer science or related field.Will accept any suitable combination of education, experience and training.

• 10+ years experience as a software engineer, data engineer, or architect building, designing and coding in a distributed data management systems for a large-scale data architecture, including data lakes, data warehouses, and cloud-based solutions.

• 5+ years experience working with Hadoop and Big Data processing frameworks (Spark, Hive, NiFi, Spark-Streaming, Flink, etc.).

• Strong hands-on experience with proficiency in modern data technologies and tools, such as Spark, SQL, NoSQL, and cloud platforms (e.g., AWS, Azure, Google Cloud).

• Proficient in programming languages like Python, Scala, or Java, with a deep understanding of data ingestion, transformation, and pipeline optimization.

• Excellent experience with source control tools such as GitHub and knowledge of CI/CD, DevOps and distributed systems.

• Experience with workflow scheduling tools like Airflow.

• Experience provisioning RESTful APIs to enable real-time data consumption .

• Solid foundation in data modeling, data structures, and algorithmic design, with experience supporting AI/ML and advanced analytics use cases.

• Proven ability to define and operationalize data quality metrics, SLAs, and observability in complex data pipelines.

• Excellent leadership, communication, and collaboration skills, with a track record of mentoring and fostering a culture of technical excellence.

• Track record of eliminating workflow inefficiencies and reducing manual toil through automation.

• A passion for innovation and staying current with industry trends and emerging technologies.