Electronic Arts

EA SPORTS is one of the most iconic brands in entertainment – connecting hundreds of millions around the world to the sports they love through a portfolio of industry-leading video games.

Building on an incredible 30-year foundation, we’re redefining football with EA SPORTS FC - a genre-leading ecosystem of interactive experiences, bringing a global community of football fans closer to The World's Game. Together, we’re taking the largest football club in the world to new heights – and this is just the beginning!

With more opportunity than ever to innovate and create new, authentic experiences that bring joy, inclusivity, and immersion to fans everywhere, we invite you to join us as we pioneer the future of football with EA SPORTS FC, and welcome everyone to the club! 

We’re looking for a Data Engineer Co-op (FC Live) to join our paid world-class internship experience. The start date for this position is May 2025 (8-month term), you may be eligible for course credit depending on your institution. The Data Engineer Co-op will report to the Data Science Manager. We are considering onsite and hybrid working options.

Responsibilities: 

• Work with raw data, design schemas, improve data transformation, and manage deployments and maintenance of data pipelines.
• Develop business intelligence and reporting solutions.
• Develop real-time ingestion, processing, and alerting data pipelines.
• Evaluate feasibility and effectiveness of proposed data solutions.
• End-to-end administration and maintain tools, systems, pipelines and ETLs.
• Communicate designs, issues, and trade-offs to team members.

Qualifications:

• Hands-on experience with SQL and no-SQL databases.
• Experience with Big Data technologies such as Trino, Spark, Databricks, or Kafka.
• Experience with data pipeline and workflow management tools such as Airflow.
• Experience using business intelligence reporting tools such as Tableau or Looker.
• Can think and solve complex data engineering problems in maintainable and scalable fashion.
• Experience with several programming languages such as Python, C#, Scala.
• Familiarity with machine learning, and statistical approaches to data analysis.

We are only considering students who will be enrolled in an accredited degree program throughout this Co-op, slated to graduate no earlier than May 2026. You must be legally authorised to work in Canada on a full-time basis during the 8 month Co-op. Visa sponsorship is not available for this position.