Data Engineer - EA Sports FC

Electronic Arts is seeking a Data Engineer to implement and maintain high-impact, end-to-end data pipelines that deliver actionable business insights.

As a key member of our multidisciplinary team, you will support the bridge between technical engineering and strategic business objectives.

Your Responsibilities:

• Design and implement robust, scalable data models that support complex analytical requirements and future business growth.
• Own the entire data lifecycle, from initial requirement gathering to the deployment and maintenance of high-performance, resilient ETL/ELT pipelines and data processing workflows.
• Address sophisticated data engineering challenges including data ingestion, storage strategies, and reliability by building modular, maintainable, and highly available systems.
• Oversee the deployment and optimization of batch and real-time processing frameworks, ensuring data quality, performance tuning, and robust alerting mechanisms.
• Work across technical and business teams to communicate technical designs and project constraints, ensuring alignment on data initiatives and the delivery of high-quality pipelines.

Your Qualifications:

• 2-4+ years of relevant experience as a Data Engineer.
• Advanced Database Systems: Deep technical proficiency in architecting, managing, and optimizing high-performance SQL and No-SQL database environments.
• Big Data Ecosystem Expertise: Extensive experience building and operating distributed systems leveraging technologies such as Trino, Spark, and Kafka.
• Software Engineering Excellence: Advanced programming skills in Python, C#, or Scala, with a dedicated focus on developing clean, modular, and production-grade code.
• Cloud Infrastructure & Scaling: Hands-on experience deploying and scaling data infrastructure within cloud environments, with a strong preference for AWS.
• Resilient Pipeline Orchestration: Proven ability to engineer and maintain robust ETL/ELT pipelines and data workflows using industry-standard tools like Airflow.
• AI/BI & Data Governance: Experience delivering AI-driven insights and self-service intelligence via Alation AI, Databricks AI/BI, or similar services, while championing data cataloging and governance to ensure high-quality, actionable data.