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 partner with globally distributed engineering, product, and program teams to ensure that the ecosystem of services remains loosely coupled, independently scalable, and aligned with the needs of the business. You will work with your peers to develop key innovation features and report to the Engineering Manager for your capability area.
WHO WE ARE LOOKING FOR
We are looking for an experienced Senior Data Engineer with a strong background in the MarTech and Business Insights domain. The ideal candidate will be passionate about transforming marketing data into actionable intelligence, partnering closely with stakeholders to understand reporting needs, and translating those into intuitive, visual solutions. This role requires someone who thrives at the intersection of technology and business, with the ability to design systems that are both technically robust and deeply aligned with marketing goals.We are seeking someone who combines technical excellence with strong communication and collaboration skills. You will own the integrity of the insights displayed, not just how they look, and play a key role in shaping Nike’s Paid & Owned Media and Business Insights platform as part of its digital transformation journey.
5-7 years software development experience in Python or Java, Databricks, Hive, Spark, EMR and SQL
Comfortable writing complex queries, understanding joins, window functions, and aggregation logic
Data visualization fundamentals in marketing analytics, digital analytics, or customer data
Experience in using AI-powered solutions
Experience in microservices architecture, domain-driven design, and RESTful APIs using languages such as Node.js and Python
Experience using cloud services to build an integrated application (AWS - EC2, ECS, API gateway, Lambda, DynamoDB).
Experience with implementing CI/CD and leading teams with DevOps responsibilities of deploying and supporting the software in production
Experience with highly collaborative, multi-discipline development team environments
Solid understanding of Scrum and Agile principles
Dedication to and hands-on experience in performing technical code reviews
Excellent verbal and written communication and collaboration skills to effectively connect with both business and technical teams
Familiarity with AI-assisted development workflows
Bachelor’s degree in Computer Science or Engineering, Information Systems, or a combination of relevant education, experience, and training
Nice-to-have experience with BI tools like Tableau, Power BI, etc.
WHAT YOU’LL WORK ON
You will build and deliver the technical runway for existing and new technological capabilities to support multiple mission-critical systems within the Paid and Owned Media space. You will rely on your understanding of scalable, highly available, and consistent distributed systems to design world-class solutions.
Design & Develop: Build, test, and maintain data pipelines that provide the functionality necessary to enable our BI efforts to measure MarTech performance.
Collaborate: Work closely with product managers and engineers to understand requirements and technical specifications, and deliver quality software.
Explain designs to teammates for alignment and approval
Ensure solutions are designed and developed using a scalable, highly resilient cloud-native architecture
Development: Design and implement large datasets and complex data pipelines using technologies like Python, Java, Databricks, Hive, and Spark
Participate in design reviews with peers to provide feedback
Review code developed by other developers and provide feedback to ensure best practices
Database Management: Develop databases, ensuring efficient data storage and retrieval.
Testing & Quality Assurance: Write unit tests and integration tests, and maintain high code-quality standards using tools such as Jest, Mocha, or similar.
Performance Optimization: Identify and fix performance bottlenecks across the full stack, ensuring high availability and responsiveness.
CI/CD Integration: Integrate with and maintain continuous integration/continuous deployment (CI/CD) pipelines for seamless software delivery.
Agile Methodologies: Participate in Agile processes, including sprint planning, daily stand-ups, code reviews, and retrospectives.
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
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.