Software Engineer III (Data & Insights)

Electronic Arts creates entertainment that inspires players and fans worldwide. As a Software Engineer III - EA Enterprise Intelligence, you will join the central engineering team to build the next-generation Lifecycle Management (LCM) Experimentation & Analytics Platform that powers live services across 20+ world-class game studios and millions of daily active players.

You will sit at the high-impact intersection of Software Engineering, Data Science, Data Analytics, and Data Engineering. Your responsibilities will include:

• Building configuration dashboards that empower game studio teams to launch and evaluate experiments independently
• Developing and maintaining low-latency APIs and microservices for real-time experiment assignment and player targeting at scale
• Developing contextual analytics systems (batch and real-time processing pipelines) that inform on important metrics, detect anomalies, and forecast future results
• Partnering closely with DS, DA, and DE teams to platformize, package, and automate statistical or Machine Learning methodologies
• Standardizing behavioral event schemas, configuration models, and metadata contracts across diverse game titles
• Promoting the value of the LCM platform, by providing in-depth data insights into players' engagement with content across live channels

To qualify, you will need:

• A Master's degree or foreign degree equivalent in Computer Science, Electrical Engineering, or a related field
• 3+ years of experience in software development building data-intensive systems, distributed backend services, or platform APIs
• Strong experience collaborating with Data Science, Data Analytics, or Machine Learning teams to productionize analytical models or algorithms
• Solid conceptual understanding of A/B testing, hypothesis testing, and core statistical mechanisms
• Expertise in Python and at least one compiled language (such as Java, Go, or Scala), along with advanced SQL skills
• Experience with distributed data frameworks (like Spark or Trino) and modern Lakehouse/Data Warehouse solutions (like Snowflake, Databricks, or Redshift)
• Familiarity with cloud services (AWS preferred), containerization (Docker/Kubernetes), and pipeline workflow orchestrators (like Airflow)
• Strong cross-functional collaboration and communication across regions/time zones
• Gaming industry experience or familiarity with game telemetry data is a strong plus

Electronic Arts offers comprehensive benefits programs, including physical, emotional, financial, professional, and social well-being support.