Electronic Arts (EA) is one of the world’s leading interactive entertainment companies, creating iconic game franchises such as FIFA, Battlefield, The Sims and Apex Legends. With a strong global footprint, EA has been expanding its engineering and data capabilities in India, establishing a vibrant Hyderabad studio that works on analytics, player insights and next‑generation AI‑driven gaming experiences. The company’s culture blends creativity with cutting‑edge technology, encouraging employees to experiment, iterate quickly and deliver immersive experiences to millions of gamers worldwide. The Data & AI Engineering Internship for 2026 is designed for students who are passionate about the convergence of data engineering and generative AI. Interns will join EA’s Data and Analytics team in Hyderabad, collaborating with senior data engineers, solution architects and product analysts to build AI‑assisted data pipelines, prototype large‑language‑model (LLM) applications and contribute to the end‑to‑end data lifecycle. The role offers hands‑on exposure to modern cloud data platforms, vector search technologies and responsible AI practices, making it an ideal launchpad for a career in data‑driven product engineering. Key Responsibilities: 1. Design and implement Python‑based data ingestion scripts to pull data from APIs, logs and third‑party services. 2. Develop SQL queries and transformations for data cleaning, enrichment and validation. 3. Assist in building scalable ETL/ELT pipelines using tools such as Airflow, dbt or Spark. 4. Prototype generative‑AI solutions leveraging LLMs, prompt engineering, Retrieval‑Augmented Generation (RAG) and embeddings. 5. Create vector‑search indexes and integrate vector databases for semantic retrieval. 6. Experiment with tool‑calling and agentic workflows to automate routine data‑quality checks. 7. Contribute to reusable data products, APIs and documentation for cross‑team consumption. 8. Apply testing, data‑quality, security and governance standards to all deliverables. 9. Participate in code reviews, version‑control (Git) workflows and agile ceremonies. 10. Present prototypes, findings and recommendations to technical and business stakeholders. Tech Stack: Python, SQL, Git, Snowflake, Databricks, Apache Spark, dbt, Airflow, LangChain, LangGraph, Streamlit, major cloud platforms (AWS/GCP/Azure), vector databases, scikit‑learn, PyTorch, TensorFlow, and LLM APIs. Growth Path: Successful interns may receive full‑time offers as Data Engineers, AI Engineers or Analytics Engineers, with clear progression to senior technical roles, product ownership and leadership positions within EA’s global data ecosystem. Why Join EA: Interns gain unparalleled exposure to the gaming industry’s massive data volumes, work alongside world‑class AI researchers, and contribute to products that reach millions of players. The internship offers a blend of technical depth, creative problem‑solving and a supportive, inclusive culture that values learning and innovation.