Energy Jobline ZR
Job Title: Principal Software Engineer
We are looking for a talented Principal Software Engineer to join our Global Technology Data & Artificial Intelligence (D&A I) organization to guide and influence multiple engineering teams to deliver scalable data and analytics solutions, implement new technologies, participate in solution design and architecture discussions.
Remote Work : Open to remote work except in South Dakota, Vermont, and West Virginia.
Salary : The annual base salary ranges from $149,100 to $313,900, varying by location, qualifications, skills and experience.
Responsibilities
Build and deliver scalable data and analytics solutions focused on Nike Direct, Supply Chain, and Commercial space.
Design, implement and integrate new technologies and evolve data and analytics products.
Contribute across ingestion, transformation, and consumption, designing test‑driven development, reusable frameworks, automated workflows, and libraries at scale.
Participate in architecture and design discussions to process and store high‑volume data sets.
Work with a diverse team of engineers, architects, product leaders, data scientists, and data governance partners.
Collaborate closely with stakeholders across product, architecture, AI/ML, and governance to support a wide range of experiences.
Qualifications
Bachelor's degree in computer science or related field (or equivalent combination of education, experience, and training).
10+ years experience as a software engineer, data engineer, or architect building, designing and coding in distributed data management systems.
5+ years experience with Hadoop and Big Data processing frameworks (Spark, Hive, NiFi, Spark‑Streaming, Flink, etc.).
Proficiency with modern data technologies and tools such as Spark, SQL, NoSQL, and cloud platforms (AWS, Azure, Google Cloud).
Proficient in programming languages like Python, Scala, or Java, with 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 for real‑time data consumption.
Strong foundation in data modeling, data structures, and algorithmic design, 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 technical excellence.
Track record of eliminating workflow inefficiencies and reducing manual toil through automation.
Passion for innovation and staying current with industry trends and emerging technologies.
Accommodations We offer accommodations to complete our interview process, including screen readers, sign interpreters, accessible interview locations, closed captioning, and other reasonable modifications. If you need assistance or an accommodation during your application, please complete the Candidate Accommodation Request Form.
Equal Opportunity Statement NIKE, Inc. is an equal opportunity employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, disability, veteran status, or other protected categories.
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Remote Work : Open to remote work except in South Dakota, Vermont, and West Virginia.
Salary : The annual base salary ranges from $149,100 to $313,900, varying by location, qualifications, skills and experience.
Responsibilities
Build and deliver scalable data and analytics solutions focused on Nike Direct, Supply Chain, and Commercial space.
Design, implement and integrate new technologies and evolve data and analytics products.
Contribute across ingestion, transformation, and consumption, designing test‑driven development, reusable frameworks, automated workflows, and libraries at scale.
Participate in architecture and design discussions to process and store high‑volume data sets.
Work with a diverse team of engineers, architects, product leaders, data scientists, and data governance partners.
Collaborate closely with stakeholders across product, architecture, AI/ML, and governance to support a wide range of experiences.
Qualifications
Bachelor's degree in computer science or related field (or equivalent combination of education, experience, and training).
10+ years experience as a software engineer, data engineer, or architect building, designing and coding in distributed data management systems.
5+ years experience with Hadoop and Big Data processing frameworks (Spark, Hive, NiFi, Spark‑Streaming, Flink, etc.).
Proficiency with modern data technologies and tools such as Spark, SQL, NoSQL, and cloud platforms (AWS, Azure, Google Cloud).
Proficient in programming languages like Python, Scala, or Java, with 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 for real‑time data consumption.
Strong foundation in data modeling, data structures, and algorithmic design, 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 technical excellence.
Track record of eliminating workflow inefficiencies and reducing manual toil through automation.
Passion for innovation and staying current with industry trends and emerging technologies.
Accommodations We offer accommodations to complete our interview process, including screen readers, sign interpreters, accessible interview locations, closed captioning, and other reasonable modifications. If you need assistance or an accommodation during your application, please complete the Candidate Accommodation Request Form.
Equal Opportunity Statement NIKE, Inc. is an equal opportunity employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, disability, veteran status, or other protected categories.
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