Software Engineer

NIKE Inc

Beaverton, OR

JOB DETAILS
SKILLS
API Documentation, Amazon Web Services (AWS), Analysis Skills, Application Programming Interface (API), Artificial Intelligence (AI), Automation, Cloud Computing, Computer Programming, Consulting, Continuous Deployment/Delivery, Continuous Integration, Customer/Client Research, Data Analysis, Data Collection, Data Lake, Data Management, Data Processing, Data Sets, Database Replication, Documentation, Hardware Configuration Management, Hardware Upgrades, Housekeeping/Cleaning, IBM DB2, Information Technology & Information Systems, Jenkins, Logistics, Machine Learning, Mathematical Modeling, Microsoft Windows Azure, Oracle, Order/Customer Fulfillment, Performance Management, Predictive Modeling, Prepare Correspondence, Product Support, Project/Program Management, Purchasing/Procurement, Python Programming/Scripting Language, Reporting Skills, SAP, SQL (Structured Query Language), Sales Pipeline, Scalable System Development, Software Design, Software Development, Software Engineering, Software Installation, Software Testing, Supply Chain, System Operations, System Test, System Validation, Systems Administration/Management, Systems Analysis, Test Design, Test Driven Development (TDD), Time Management, Work From Home
LOCATION
Beaverton, OR
POSTED
14 days ago

Software Engineer - NIKE USA Inc. - Beaverton, OR. Build and deliver scalable data and analytics solutions focused on Supply Chain ,Consumer and Marketplace data products; design and implement Supply Chain data integration pipelines connecting warehouse management systems, inventory databases, and external catalog systems with enterprise data platforms such as Databricks; develop and maintain automated workflows to ingest, transform, load and validate high-volume datasets including on-hand inventory, order fulfillment, logistics, and distribution data; Use Databricks Catalog for Data Governance and Lineage Tracking; Real-time Change Data Capture, data replication from source systems to cloud data platform; integrate intelligent automation solutions to enhance data products and enable predictive analytics; contribute to all aspects of data 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; participate in architecture and design discussions to process and store highvolume data sets; drive the delivery of scalable data and analytics solutions, implement and integrate new technologies, manage and evolve the data lake; integrate AI-powered solutions with collaboration platforms such as Slack to enable real-time data insights, automated notifications, and conversational analytics; collaborate with other engineers, analysts, and business partners; analyze user needs and software requirements to determine feasibility of design within time and cost constraints; confer with data processing or project managers to obtain information on limitations or capabilities for data processing projects; confer with systems analysts, engineers, programmers and others to design systems and to obtain information on project limitations and capabilities, performance requirements and interfaces; develop and maintain API documentation and integration specifications; consult with customers or other departments on project status, proposals, or technical issues, such as software system design or maintenance; coordinate installation of software system; design, develop and modify software systems, using scientific analysis, machine learning techniques, and mathematical models to predict and measure outcomes and consequences of design; develop or direct software system testing or validation procedures, programming, or documentation; modify existing software to correct errors, adapt it to new hardware, or upgrade interfaces and improve performance; monitor functioning of equipment to ensure system operates in conformance with specifications; obtain and evaluate information on factors such as reporting formats required, costs, or security needs to determine hardware configuration; prepare reports or correspondence concerning

project specifications, activities, or status; recommend purchase of equipment to control dust, temperature, or humidity in area of system installation; specify power supply requirements and configuration; store, retrieve, and manipulate data for analysis of system capabilities and requirements; and supervise and assign work to programmers, designers, technologists, technicians, or other engineering or scientific personnel. Telecommuting is available from anywhere in the U.S., except from SD, VT, and WV.

Must have a Bachelor's degree in Engineering, Information Technology and 5 years of progressive, post-baccalaureate experience in job offered or in a engineering-related occupation.

Experience must include:

  • Python
  • Airflow
  • SQL
  • Spark
  • Databricks
  • Attunity - Qlik
  • Cloud - AWS/Azure
  • CI/CD Jenkins
  • Snowflake
  • Data Pipeline Design
  • SAP & S4 Hana
  • Oracle
  • DB2
  • API and AI/ML models and intelligent automation solutions

Contact: Apply at www.Nike.com/Careers

Apply at www.Nike.com/Careers (Job# R-84900)

#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.

About the Company

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NIKE Inc