Senior Data Engineer

Job Title : Senior Data Engineer

Location : Mexico or Brazil

Type : Brazil and Mexico (Remote)

Role Details

We are looking for a talented senior data engineer specializing in building a highly scalable cloudbased 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 streaming data and highperformance querying. You’ll work closely with crossfunctional 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 DaytoDay

Build new foundational capabilities using domaindriven design and testdriven 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 including daily standups, grooming, and sprint planning.

Practice DevOps by 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 within a GraphQL ecosystem.

Containerizing core systems to reduce the overhead of infrastructure management.

Qualifications

What you bring to the team

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, and Node.js.

Experience with relational, NoSQL, and keyvalue data stores such as Aurora MySQL, DynamoDB, MongoDB, and Redis.

Handson experience working in a distributed cloudbased environment (AWS preferred) with high transaction volumes using a variety of connected services.

Proficiency with modern build strategies, continuous integration, unit testing, and automated integration tests, along with GitHub, issue tracking tools like Jira, and CI / CD related disciplines including GitOps.

Ability to design solutions, provide estimates, and evaluate risk and technical feasibility.

BS in 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 data orchestration platforms, cloud services, and frameworks.

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 selfstarter who can work in a complex collaborative environment that rewards innovation, initiative, curiosity, and mentoring.

Knowledge of sports and gaming.