Description
Electronic Arts creates incredible entertainment experiences that inspire players and fans worldwide. Here, everyone is part of the story, part of a community that connects people globally. You'll be part of a team where creativity thrives, new perspectives are welcomed, and ideas matter.
As a Data & AI Engineer, you will design and deliver foundational data services, pipelines, and analytics systems that provide visibility into critical systems, helping gamers play at scale and impacting hundreds of games and millions of gamers. You will build and leverage AI agents and LLM-powered workflows to automate data engineering operations, enforce data quality, and deliver actionable insights through clear visualizations.
In your role, you will:
- Collaborate with product, program, and project management to ensure clarity and understanding of features and priorities.
- Build and maintain pipelines and ingest operational data and metrics from across EA's infrastructure.
- Map existing data sources with physical and logical architectures to provide service hosting details and infrastructure insights.
- Design and deploy AI agentic workflows to automate repetitive data engineering tasks such as schema inference, pipeline scaffolding, anomaly triage, and incident summarization.
- Integrate LLMs into operational tooling to enable natural-language querying of infrastructure metrics and automated root-cause analysis.
- Build interactive dashboards and visualizations that translate infrastructure telemetry into clear, actionable insights for engineering and leadership audiences.
The ideal candidate will have:
- Experience using database technologies such as MySQL, MongoDB, or Cassandra.
- Experience with data lakehouse architectures, storage formats (Parquet, Iceberg, Avro), and OLAP data stores/data warehouses (BigQuery/BigLake, DeltaLake, Snowflake, or Redshift).
- Experience with workflow / ETL management platforms such as Airflow.
- Experience with programming languages such as Python, Java, and/or Go.
- Public cloud provider experience (AWS, GCP, Azure).
- Experience with LLMs and agentic AI frameworks such as LangChain, LangGraph, or Google ADK.
- Hands-on experience using LLMs and agentic developer tools (e.g., Claude Code, GitHub Copilot) to accelerate the software development lifecycle (SDLC) and automate coding tasks.
- Experience with data visualization tools such as Looker, Streamlit, or Gradio.
- B.S. in Computer Science or equivalent training.
Electronic Arts offers equal opportunities, and all job decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, or any other characteristic protected by law.