Job Description
Job Title Senior Data Engineer Role Description We are looking for a talented Senior Data Engineer to design and build a highly scalable, cloud-based GraphQL API layer that delivers sports and betting data across multiple digital platforms. This role focuses on creating a seamless, efficient data ingestion, processing, and delivery ecosystem that integrates streaming data with high-performance querying. You will work closely with cross-functional teams to design and implement a federated GraphQL architecture , helping drive the future of sports and betting data integration within the CBS Sports digital ecosystem . Responsibilities Day-to-Day Build foundational platform capabilities using Domain-Driven Design (DDD) and Test-Driven Development (TDD) . Lead the design, development, and optimization of GraphQL subgraphs and services within a federated architecture. Participate in Agile ceremonies, including daily standups, backlog grooming, and sprint planning . Practice DevOps by writing high-quality tests and deploying continuously to production with proper monitoring and observability . Review peer designs and code, providing constructive feedback and participating in technical discussions and deep-dive sessions. Collaborate with product partners to design technical solutions leveraging GraphQL for data integration . Key Projects Build and expand a GraphQL API layer for seamless data access across multiple services. Design and implement a core data platform powering CBS Sports Digital products, ingesting and processing data from hundreds of sources across multiple transports and data stores. Define and implement distributed tracing and data observability within a GraphQL ecosystem. Containerize core systems to reduce infrastructure overhead and improve scalability. Qualifications Required 5+ years of experience in data engineering or large-scale data systems development . Strong experience designing and maintaining GraphQL schemas , optimizing queries, and ensuring efficient data access. Hands-on experience with JavaScript/TypeScript, Python, and Node.js . Experience with relational, NoSQL, and key-value databases , including Aurora MySQL, DynamoDB, MongoDB, and Redis. Experience working in distributed, cloud-based environments (AWS preferred) with high transaction volumes. Proficiency with CI/CD pipelines, unit and integration testing , and modern build strategies. Experience using GitHub, Jira, and GitOps workflows. Ability to design technical solutions, provide estimates, and assess risks and feasibility. Bachelor’s degree in Computer Science, Engineering, or equivalent professional experience. Nice to Have Experience with Apollo GraphQL, WunderGraph, or Cosmo . AWS Certifications . Experience building ETL pipelines and working with data orchestration platforms. Background in digital media, sports, or content-driven platforms . Knowledge of sports and gaming/betting ecosystems.