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Salary
≈ $18k – $42k per year (Estimated)
Location
Remote (India)
Seniority
Middle · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 6, 2026. First seen by Alion on Sep 30, 2026.

Overview
Company
Impact
Profile match
Nike is a designer, marketer, and distributor of athletic footwear, apparel, equipment, and accessories for a wide variety of sports and fitness activities in addition to providing lifestyle products.

WHO YOU’LL WORK WITH

At Nike, we leverage the power of data and technology to serve athletes* around the world. The Data Foundation team is at the forefront of this mission-building scalable, secure, and intelligent platforms that power decision-making across Nike’s global supply chain and planning ecosystem.

WHO WE ARE LOOKING FOR

We are looking for an experienced software engineer with a passion for building robust and scalable data solutions. You thrive in a fast-paced, collaborative environment and have a proven track record of delivering high-quality software.

Skillset Required

  • 5-7 years of experience in software development, with a strong foundation in distributed systems, cloud-native architectures, and data platforms.

  • Experience with various stages of software development, including design, development, testing, and deployment.

  • Strong programming skills in Python, SQL etc.

  • Deep expertise with cloud platforms like AWS, Azure, or GCP.

  • Hands-on experience with Databricks, Snowflake, AWS EMR, AWS RDS, Azure SQL, or GCP Cloud SQL, Apache Spark, Databricks Workflow and Apache Airflow.

  • Strong understanding of Lakehouse architecture, Data Mesh principles, data governance frameworks, and modern data pipelines.

  • Proven ability to deliver high-impact, API-first services at scale.

  • Proficiency with tools like Terraform or AWS CloudFormation is critical for managing cloud infrastructure programmatically, ensuring consistency, and enabling automation.

  • Strong problem-solving and analytical thinking skills.

  • Experience in guiding and supporting junior engineers.

  • Excellent communication and collaboration skills.

  • Good hands on experience in observability and Data quality

Skillset Preferred (Good to Have)

  • Basic understanding of Machine Learning and Generative AI concepts

  • Exposure to LLMs (Large Language Models) and their applications (data cataloging, data schematic layer, data enrichment, etc.)

  • Familiarity with prompt engineering techniques and evaluation

  • Experience or exposure to AI frameworks/libraries, Agentic AI such as LangChain, OpenAI APIs, or similar

  • Understanding of RAG (Retrieval-Augmented Generation) patterns and vector databases is a plus

  • Awareness of AI guardrails, responsible AI, and data privacy considerations

WHAT YOU’LL WORK ON

As a Software Engineer III, you will -

  • Design, develop, and maintain scalable data solutions.

  • Build and optimize data pipelines, ensuring data quality and reliability.

  • Develop SDKs, APIs, and microservices to support enterprise-wide data and analytics needs.

  • Collaborate with cross-functional teams including product managers, data scientists, and other engineers to deliver high-impact solutions.

  • Implement best practices in software development, data governance, and platform observability.

  • Participate in code reviews, provide feedback, and mentor junior engineers.

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