Data Engineer

Data Engineer / GraphQL Location : Remote Rate: DOE

Role Overview We are seeking a

Senior Data Engineer

to build and scale a

cloud-based GraphQL API platform

that delivers sports and betting data across multiple digital platforms. This role focuses on designing and implementing a

highly scalable data ingestion, processing, and delivery system , integrating streaming data and enabling high-performance queries. You will collaborate with cross-functional teams to build a

federated GraphQL architecture

that powers the future of sports and betting data integration across the

CBS Sports digital ecosystem .

Key Responsibilities Data Platform Development Design and build

scalable GraphQL APIs

for seamless data access across multiple services. Develop foundational data capabilities using

Domain Driven Design (DDD)

and

Test Driven Development (TDD) . Build and optimize

GraphQL subgraphs and services

within a

federated architecture .

Data Engineering & Integration Design and implement a

core data layer

that ingests, processes, and stores sports data from hundreds of sources. Integrate streaming and batch data pipelines for high-volume data processing. Ensure efficient data retrieval and high-performance query execution.

DevOps & Engineering Excellence Implement

CI/CD pipelines , automated tests, and continuous deployment to production. Build

observability, monitoring, and distributed tracing

for GraphQL services. Containerize services to reduce infrastructure management overhead.

Collaboration & Agile Development Participate in

scrum ceremonies , sprint planning, and daily stand-ups. Review designs and code from team members and provide constructive feedback. Work closely with

product and engineering teams

to build scalable data solutions.

Key Projects Build a

GraphQL API platform

to integrate sports data across multiple systems. Develop a

centralized data platform

powering CBS Sports Digital products. Implement

distributed tracing and observability

for GraphQL-based systems. Containerize core services to improve scalability and operational efficiency.

Required Qualifications 5+ years of experience

in data engineering or data systems development. Strong experience designing and optimizing

GraphQL schemas and APIs . Experience with

JavaScript / TypeScript, Node.js, or Python .

Hands-on experience with data stores such as: Aurora MySQL DynamoDB MongoDB Redis Experience working with

cloud environments (AWS preferred) . Experience with

high-volume distributed systems . Knowledge of

CI/CD pipelines, automated testing, Git, GitHub, and Jira . Ability to design scalable systems and evaluate technical feasibility. Bachelor’s degree in Computer Science, Engineering, or related field

(or equivalent experience).