Senior Data Engineer

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen. Title: Senior Data Engineer, Basketball Data StrategyDepartment: Basketball Data Strategy, Basketball OperationsReports to: Director, Basketball Data StrategyPosition Summary: The Senior Data Engineer, Basketball Data Strategy is a critical member of the Basketball Data Strategy team. Supporting the Director, Basketball Data Strategy, they will architect, build, and maintain a modern cloud data platform spanning ingestion, transformation, storage, and service layers, and utilizing statistical feeds from external vendors and internal sources. This position is responsible for the end-to-end design, implementation, and maintenance of data infrastructure, and includes creation of new data infrastructure in a greenfield stack, owning architectural decisions across the full data lifecycle. This position works alongside the Data Science / Analyst teams to ensure the cleanliness, integrity, accuracy, and relevance of the data to be analyzed, and alongside the Software Development team to deliver data in performant web and mobile products. This position will optimize existing data structures, lead platform migrations, and regularly audit the Basketball Data Strategy data ecosystem, to ensure curated, production-grade datasets are performant, validated, and optimized for predictive modeling and visualization. Essential Functions (Duties & Responsibilities**):Build data foundation: architect and oversee the basketball data ecosystem, including sources / streams such as NBA data, non-NBA basketball data, player tracking data, natural language / qualitative data (e.g. scouting reports), and health/performance/wearables data. Create data pipelines: design, build, and maintain automated systems using cloud-native orchestration tools (e.* Responsibilities subject to change based on organizational needs and direction from management. Education:Bachelor’s in Statistics, Computer Science, Engineering, or a related field, or equivalent academic or professional experience; experience working with database solutions in a professional best-practices environmentMinimum Qualifications: 6+ years of experience in a similar roleDatabase expertise: expert-level proficiency in relational database design (e. Experience with nonrelational data structures – document stores, time-series solutions, vector storage. Hands-on experience architecting data platforms with a track record of greenfield builds or major platform migrations; ; cloud platform experience on AWS (preferred) or similar platformsPipeline tools: experience with workflow tools like AirflowContainer technology: experience with Docker and KubernetesUnderstanding of modern ML techniques and end-to-end MLOps workflows on cloud platforms in production environments, including model versioning, deployment pipelines, and monitoring. Qualifications:A strong sense of organizationHigh agencyAdaptability and “outside-the-box” thinkingKnowledge of and passion for NBA basketballLocation: El Segundo (office M‐F), and other occasional off‐site eventsTravel: Less than 5% of the time Hours: Full-time. experience and certifications. In addition to those factors, we consider the relative pay of our current employees in similar positions when making a final offer. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.