Job Description

Job Title: Senior Data Engineer

Location: Remote / Hybrid (as applicable)
Experience: 5+ years
Industry: Sports, Digital Media, Gaming

We are seeking a Senior Data Engineer with strong expertise in building highly scalable, cloud-based GraphQL API layers to power sports and betting data across multiple digital platforms.

In this role, you will design and implement a robust data ingestion, processing, and delivery ecosystem, integrating streaming data and high-performance querying. You will work closely with cross‑functional engineering and product teams to help shape a federated GraphQL architecture that supports the future of sports and betting data integration across the CBS Sports digital ecosystem

Key Responsibilities

Day-to-Day Responsibilities

• Build foundational platform capabilities using Domain-Driven Design (DDD) and Test‑Driven Development (TDD) to support features across multiple CBS Sports digital properties.
• Lead and contribute to the design, development, and optimization of GraphQL subgraphs and services within a federated architecture.
• Actively participate in agile ceremonies, including daily stand-ups, backlog grooming, and sprint planning
• Practice DevOps by writing high-quality tests, deploying continuously to production, and ensuring system observability and monitoring
• Review teammate designs and code, providing thoughtful feedback and engaging in technical deep-dive discussions
• Collaborate with product partners to design and deliver scalable data solutions using GraphQL for data integration

Key Projects

• Build and evolve a GraphQL API layer for seamless data access and integration across multiple services.
• Design and implement a core data platform that powers all CBS Sports Digital products, ingesting and processing data from hundreds of sources across various transports and data stores.
• Define and implement distributed tracing and data observability for web services within a GraphQL ecosystem.
• Containerize core systems to minimize infrastructure management overhead and improve scalability.

Required Qualifications

What You Bring

• 5+ years of experience in data engineering and large-scale data system development.
• Strong experience designing, implementing, and maintaining GraphQL schemas, optimizing query performance, and ensuring efficient data retrieval.
• Proficiency in JavaScript/TypeScript, Python, and Node.js
• Hands-on experience with relational, NoSQL, and key-value data stores, such as:
  • Aurora MySQL
  • DynamoDB
  • MongoDB
  • Redis
• Experience working in distributed, cloud-based environments (AWS preferred) supporting high transaction volumes.
• Strong knowledge of CI/CD, GitOps, automated testing, and modern build strategies
• Experience with GitHub, Jira, and CI/CD pipelines.
• Ability to design end-to-end solutions, provide estimates, assess risk, and evaluate technical feasibility.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).

Nice to Have

• Experience with Apollo GraphQL, WunderGraph, or Cosmo
• AWS certifications.
• Experience building ETL pipelines using data orchestration platforms, cloud services, and frameworks.
• Background working in digital media, content platforms, or online consumer-facing products
• Knowledge or experience in sports data and gaming platforms