> Markdown version of [/jobs/ext/3751319-lead-data-engineer](https://www.wearedevelopers.com/jobs/ext/3751319-lead-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Engineer - **Company:** Nike Usa Inc - **Location:** Beaverton, OR, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon S3, Code Review, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), DevOps, Distributed Computing Environment, Performance Tuning, Raw Data, Screen Reader, SQL Databases, Systems Integration, Data Processing, Cloud Platform System, System Availability, Apache Spark, Generative AI, Git, Data Lakes, Pyspark, Information Technology, Deployment Automation, AWS Data Analytics, Apache Kafka, Machine Learning Operations, Stream Processing, Data Pipelines, Databricks - **Published:** October 15, 2026 - **Apply:** https://dejobs.org/x/x/E9F18C1C55164D9F81D2D57B7B09738B/job/ ## About the Role We're seeking someone with deep expertise in distributed data processing and cloud-based data platforms who can translate complex business requirements into reliable, production-grade solutions. The ideal candidate brings strong leadership instincts, excels in cross-functional collaboration, and communicates technical concepts clearly to both engineering peers and non-technical stakeholders. Success in this role requires a builder's mindset, a commitment to continuous improvement, and the ability to thrive in a fast-paced environment where data directly fuels innovation and growth. * Bachelor's degree in Computer Science or related field. Will accept any suitable combination of education, experience and training * 8+ years of experience as a Data Engineer with strong expertise in Databricks, PySpark, SQL, and Apache Spark * Hands-on experience with the Databricks Lakehouse Platform, Medallion architecture, Delta Lake, and AWS data services (S3, RDS) * Proven experience leading and mentoring data engineering teams, with strong skills in CI/CD, Git, and DevOps practices * Experience with data modeling, ETL/ELT processes, real-time data processing frameworks (Kafka, Kinesis, or similar), and cross-functional stakeholder communication Preferred qualifications: * Knowledge of Generative AI and Machine Learning pipelines and integrating them into production environments * Databricks certification (e.g., Databricks Certified Data Engineer or Databricks Certified Developer for Apache Spark) ## Description You'll be at the forefront of building Nike's data foundation and semantic layer - designing and delivering the pipelines, frameworks, and data products that turn raw data into insights shaping product innovation and business strategy. This is hands-on, high-impact work at the intersection of engineering craft and enterprise scale. * Lead the design, development, and deployment of scalable data pipelines and architectures that power analytics and AI initiatives across CP&I * Partner with data scientists, analysts, product managers, and business stakeholders to translate requirements into technical specifications and deliver solutions that drive decision-making * Mentor junior data engineers and champion best practices in coding standards, data governance, and performance optimization * Build and maintain robust, reusable data engineering components, frameworks, and libraries that process data from diverse sources with consistency and quality * Monitor, troubleshoot, and optimize data pipelines to ensure high availability, performance, and reliability at enterprise scale * Implement CI/CD pipelines to automate deployment and testing of data engineering workflows * Participate in code reviews and contribute to a culture of collaboration, innovation, and continuous improvement We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form (https://app.smartsheet.com/b/form/5153e46a93f4460db48eb9e611386685) .