WHO YOU’LL WORK WITH 

You will partner with globally distributed teams of engineering, product and program teams to ensure that the ecosystem of services remains loosely coupled, independently scalable, and meets the needs of the business. You will work with your peers to develop key innovation features and report into the Engineering Manager for your capability area. 

WHO WE ARE LOOKING FOR 

We are looking for an experienced Senior Data Engineer to be part of a mission critical team. You will participate in designs and implementation on a team building high-throughput, low-latency, fault-tolerant Paid Media solutions to drive Nike’s Digital transformation and growth strategies. The candidate needs to have strong communication skills, help solve complex problems, and be a collaborative teammate. 

• A minimum of 2-4 years software development experience in data engineering with experience in Python or Java, Databricks, Hive, Spark, EMR and SQL 

• Demonstrated strength in data modelling, ETL development, and data streaming 

• Knowledge of data management fundamentals and data storage principles 

• Familiarity with the challenge of moving large files across a geographically disperse network. Knowledge of different accelerated transfer methods and technologies 

• Experience in microservices architecture, domain driven design, and RESTful API’s 

• Experience using cloud services to build an integrated application (AWS - EC2, ECS, API gateway, Lambda, DynamoDB, Kafka). 

• 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 

• Experience with developing automated tests (E2E) with testing frameworks  

• 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 

• Bachelor’s degree in Computer Science or Engineering, Information Systems, or a combination of relevant education, experience, and training 

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 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 providing functionality necessary to enable our advertising efforts. 

• Collaborate: Work closely with product managers, engineers to understand requirements, technical specifications, and deliver quality software. 

• Explain designs to teammates to 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, 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.