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Tier-1 brand, common data-engineer title, and early-career metro role drive high applicant competition.
Core data engineering skills are transferable but required cloud and Spark experience create moderate industry specificity.
Explicit 1-2 years requirement plus mandatory SQL, Spark, cloud and Python expectations make shortlisting moderately strict.
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Lead and collaborate on building modular, configurable, API-first tooling for Nike's Consumer Product & Innovation team, targeting modern SPA frameworks.
Coordinate with other engineering teams and provide guidance and coaching to junior engineers.
Deliver software solutions that support internal product tools aligned with Nike’s business objectives.
Bachelor's degree in Computer Science, Engineering, Data Science, or related field, or equivalent experience.
1-2+ years of hands-on experience in data engineering, software development, or related technical roles.
Proficiency in SQL; basic Python skills for data processing and automation.
Familiarity with a major cloud platform (AWS, Azure, Databricks, or Snowflake) and understanding of cloud data storage and processing services.
Experience working in fast-paced, collaborative engineering teams focused on building data tooling for product and innovation functions.
Demonstrated capability to lead and mentor junior engineers while coordinating across teams.
Knowledge of big data frameworks (Spark), ETL/ELT and real-time data processing concepts, and microservices-based architectural patterns.