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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Data Engineer - **Company:** Paramount Global - **Location:** Fort Lauderdale, FL, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Query Performance, JavaScript (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Unit Testing, Cloud Computing, Code Review, Continuous Integration, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Retrieval, Data Security, Data Stores, Data Systems, Cursor (Graphical User Interface Elements), Software Debugging, DevOps, Programming Tools, Amazon DynamoDB, Github, Issue Tracking Systems, Python (Programming Language), MongoDB, MySQL, Node.Js, NoSQL, Scrum Methodology, Redis, Cloud Services, DataOps, TypeScript, Web Platforms, Web Services, Test-Driven Development (TDD), Data Ingestion, GitHub Copilot, Containerization, Core Data, Integration Tests, Information Technology, Graphql, Virtual Agents, Dynatrace - **Published:** August 1, 2026 - **Apply:** https://dejobs.org/x/x/CA7A84BE1D344223B0FD6F5BCB91594F/job/ ## About the Role 5+ years of experience in data engineering and data system development. Experience in designing, implementing, and maintaining GraphQL schemas, optimizing query performance, and ensuring seamless data retrieval and manipulation for enhanced user experiences. Experience with Javascript/TypeScript, Python, Node.js. Experience with relational, NoSQL, and key-value data stores such as MySQL, DynamoDB, MongoDB, Redis. Hands-on experience working in a distributed cloud-based environment with high transaction volumes, using a variety of connected services. Proficiency with modern build strategies, continuous integration, unit testing, and automated integration tests (GitHub, issue tracking tools like Jira, and CI/CD related disciplines like GitOps). Experience using agentic AI development tools (GitHub Copilot, Claude Code, Cursor, or similar) to accelerate development, testing, debugging, documentation, and code reviews. Ability to design solutions, provide estimates, and evaluate risk and technical feasibility. BS Computer Science, Engineering, a related technical degree, or equivalent professional experience. You might also have: Wundergraph/Cosmo or Apollo GraphQL experience. AWS Certifications. Experience with extract, transform, load (ETL) pipelines using cloud services and frameworks (a plus). Experience at an online company in digital media or content creation. Excellent team player and communicator capable of creating positive relationships across engineering, product, and architecture. Energetic self-starter who can work in a complex, collaborative environment that rewards innovation, initiative, curiosity, and mentoring. Knowledge of sports and gaming. ## Description We are looking for a talented senior data engineer specializing in building a highly scalable, cloud-based GraphQL API layer to deliver sports and betting data across multiple digital platforms. This role involves creating a seamless and efficient data ingestion, processing, and delivery system, integrating data and high-performance querying. You'll work closely with cross-functional teams to design and implement a federated GraphQL architecture, driving the future of sports and betting data integration within the CBS Sports digital ecosystem. Your Day-to-Day: Build new foundational capabilities using domain-driven design and test-driven development that will power features and experiences on various CBS Sports properties. Help lead team members in the design, development, and optimization of our core sports GraphQL subgraphs and services within a federated architecture. Participate in scrum ceremonies: daily standups, grooming, and sprint planning. Practice DevOps: writing good tests and deploying continuously to production with observability and monitoring. Review your teammates' designs and code, providing constructive feedback and engaging in technical discussions, including weekly deep-dive sessions on various topics. Work with product partners to develop technical solutions for features leveraging GraphQL for data integration. Key Projects: Building out a GraphQL API for seamless data access and integration across multiple services. Designing and building out a core data layer to power all CBS Sports Digital products, ingesting, processing, and storing data from hundreds of sources over different transports and data stores. Defining a distributed tracing system for web services and data observability across a GraphQL ecosystem. Containerizing core systems to reduce the overhead of infrastructure management. 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