Data Engineer II
As a Data & AI Engineer, you will be responsible for the design and delivery of foundational data services, pipelines, and analytics systems that give visibility into our most important and critical systems - helping gamers to play at scale and having an impact across hundreds of games and millions of gamers. You will also build and leverage AI agents and LLM-powered workflows to automate data engineering operations, enforce data quality, and deliver actionable insights through clear visualizations. You will report to a Development Manager in PI&E.
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.
- Mapping existing data sources with physical and logical architectures need to provide service hosting details and infrastructure insights
- Experience with and knowledge of LLMs, and agentic workflows
- 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 next great EA Engineer Data & AI Engineer also needs:
- 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.
About Electronic Arts
We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.
We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.