{"id":2967279,"url":"https://alion.io/job/nike-software-engineer-ii-itc-12","title":"Software Engineer II, ITC","company":{"id":1634,"name":"Nike","domain":"nike.com","url":"https://alion.io/company/nike","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":82,"open_postings":42,"ghost_share":0,"stale_share":0.929,"repost_share":0,"time_to_fill_p50_days":14,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":15500,"max_usd":41000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":11},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Cassandra","optional":false},{"name":"CI/CD","optional":false},{"name":"Clean Architecture","optional":false},{"name":"Copilot","optional":false},{"name":"Dagster","optional":false},{"name":"Databricks","optional":false},{"name":"Datadog","optional":false},{"name":"Delta Lake","optional":false},{"name":"DynamoDB","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"MySQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Scrum","optional":false},{"name":"Spark","optional":false},{"name":"Splunk","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-04T00:00:00Z","employer_posted_date":"2026-08-04","last_verified_at":"2026-10-24T01:19:48Z","board_verified":true,"closed_at":null,"days_open":81,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":81},"description":"WHO YOU'LL WORK WITH\nYou will report to the Senior Engineering Manager- the enterprise team that curates, governs, and serves Nike Direct and Marketplace data products to BI Experience teams and other GT domains. You will work within a team of engineers building backend APIs, ontology layers, and data pipelines that BI Experience teams consume directly. A Senior or Lead Engineer will support you with design and technical guidance. You will share your experience and technical expertise to help shape the longer-term strategic direction of our consumption and ontology layers.\nWHO WE ARE LOOKING FOR\nWe are looking for engineers who are passionate about crafting great code and building high-quality backend and data services using best software engineering principles and standards.\nA minimum of 3-5 years of backend software development experience.\n\nExperience working in a highly collaborative, multi-discipline team environment.\n\nStrong experience designing and implementing microservices, domain-driven design, and RESTful services using Java, Python, Scala, or Node.\n\nHands-on experience working in a distributed/cloud environment (AWS, GCP, or Azure).\n\nSolid knowledge of common design patterns and clean architecture.\n\nWorking experience with data platforms - Databricks, Spark, Delta Lake, or equivalent - and SQL at scale.\n\nExperience with workflow orchestration tools such as Airflow, Dagster, or Prefect.\n\nTest-driven development experience, including productive use of AI tools like GitHub Copilot.\n\nExperience with distributed messaging - Kafka, SQS, or similar.\n\nExperience with CI/CD, unit testing, static analysis, and automated integration tests (Jenkins, GitHub Actions).\n\nWorking knowledge of Scrum and agile principles.\n\nComfortable in a fast-paced, results-oriented environment with globally distributed teams.\n\nExcellent verbal and written communication skills, with the ability to translate between business and technical audiences.\n\nBachelor's degree in Computer Science, Information Systems, or related field - or equivalent experience.\n\nPreferred: experience with NoSQL stores (Cassandra, DynamoDB, MongoDB), relational stores (PostgreSQL, MySQL, Oracle), monitoring/tracing (Splunk, SignalFx, Datadog), data modeling, and serverless computing.\n\nWHAT YOU'LL WORK ON\nAs a Software Engineer II in Marketplace Data Engineering, you will help design and deliver the data products, APIs, and pipelines that serve the Marketplace and Nike Direct data needs of the entire Nike enterprise.\nYou will build and own backend services that expose curated Marketplace and Nike Direct data to BI Experience teams and downstream GT domains.\n\nYou will contribute to high-throughput, low-latency, fault-tolerant data services with strong governance, RLS, and quality guarantees baked in.\n\nYou will partner with product, analytics, and BI Experience teams to design schemas, contracts, and consumption patterns that scale across the enterprise.\n\nYou will write clean, well-tested, well-documented code, and remain current with industry trends in data platforms, APIs, and AI-assisted development.\n\nYou will help drive continuous improvement in performance, scalability, reliability, and observability of our consumption layers.\n\nYou will collaborate with globally distributed engineering teams to provide technical expertise on architecture, code quality, and operational excellence.\n\nYou will take end-to-end ownership of backend modules - 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