Conviértete en parte del equipo de NIKE, Inc.
NIKE, Inc. hace más que equipar a los mejores atletas del mundo. Es un lugar donde personas apasionadas se reúnen para dar forma al futuro del deporte. No nos disculpamos por quienes somos ni por lo que buscamos: llevar innovación e inspiración a cada atleta* del mundo. Buscamos candidatos que puedan superar los límites, elevar nuestro potencial y seguir guiándonos hacia la grandeza. La generación del mañana que marca tendencias, mueve el juego, se arriesga y une al equipo. ¿Te animas?
WHO YOU'LL WORK WITH
You 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 be a senior individual contributor on the squad, working alongside Leads and Principal engineers to deliver complex backend and data systems. You will mentor SWE I and SWE II engineers, drive technical design within your squad, and influence patterns and standards that cross-squad teams adopt.
WHO WE ARE LOOKING FOR
We are looking for senior engineers who own outcomes end-to-end — engineers who can decompose ambiguous problems, drive high-quality designs, and ship complex systems with minimal oversight.
A minimum of 5–8 years of backend and/or data engineering experience.
Strong expertise in at least one of Java, Python, or Scala, and confident fluency in SQL and data modeling.
Proven experience designing and shipping production microservices, RESTful APIs, and event-driven systems.
Hands-on experience with modern data platforms — Databricks, Spark, Delta Lake, Unity Catalog (or equivalent) — and orchestration tools such as Airflow.
Solid cloud experience (AWS, GCP, or Azure) including IAM, secrets, networking, and cost-aware design.
Experience leading non-trivial technical designs, writing design documents, and driving them through review with peers.
Demonstrated ability to mentor junior engineers — code reviews, pairing, and design coaching.
Experience with distributed messaging (Kafka, SQS), caching (Redis), and search (Elasticsearch/OpenSearch) where relevant.
Strong test-driven development discipline, including productive use of AI tools like GitHub Copilot.
Experience with CI/CD, observability (metrics/tracing/alerting), and incident response.
Excellent written and verbal communication; able to influence both engineers and senior product/business partners.
Bachelor's or Master's degree in Computer Science, Information Systems, or related field — or equivalent experience.
Preferred: experience with data governance, RLS/ABAC, ontology/semantic layers, dbt, agentic/LLM-powered analytics layers, or large-scale BI platforms.
WHAT YOU'LL WORK ON
As a Software Engineer III in Marketplace Data Engineering, you will own meaningful slices of our data products, APIs, and pipelines — and influence how the broader team builds.
You will lead the design and delivery of significant backend and data services that serve Marketplace and Nike Direct data to BI Experience teams and enterprise consumers.
You will drive technical design reviews within your squad — choosing patterns, defining contracts, and trading off scope, complexity, and timeline with product partners.
You will raise the engineering bar through high-leverage code reviews, pairing, and authoring patterns and blueprints that other squads adopt.
You will own production reliability and operational quality of the services you build — leading on-call, capacity planning, and post-incident learning.
You will mentor SWE I and SWE II engineers on the squad and contribute to their growth through career and skills coaching.
You will partner with the Platform team to adopt recommended toolkits and contribute back improvements when patterns fall short of our needs.
You will collaborate with globally distributed engineering teams and represent your squad in cross-org technical forums.
NUESTRO PLAN DE CONTRATACIÓN
01 Postúlate
Nuestros equipos están formados por diversos conjuntos de habilidades, bases de conocimientos, contribuciones, ideas y antecedentes. Queremos que encuentres la opción perfecta: revisa las descripciones de los puestos, los departamentos y los equipos para descubrir la función ideal para ti.
02 Habla con un reclutador o haz una evaluación
Si te seleccionan para un puesto corporativo, un reclutador se pondrá en contacto contigo para iniciar tu proceso de entrevistas y será tu contacto principal durante todo el proceso. En el caso de los puestos de Retail, tendrás que realizar una evaluación interactiva que incluye una conversación y cuestionarios. Te tomará entre 10 y 20 minutos completarla. Independientemente del puesto, queremos conocerte a ti, a tu yo en su totalidad, así que comparte quién eres, qué te hace singular y qué deseas hacer.
03 Entrevista
Entra en esta fase con confianza: investiga, entiende lo que buscamos y prepárate para las preguntas que nos harán saber más sobre ti y tus antecedentes.