Electronic Arts (EA) – Hiring for Data and AI Engineering Intern @ Hyderabad

Global interactive entertainment leader Electronic Arts (EA) is recruiting undergraduate and graduate engineering students for the role of Data and AI Engineering Intern under Job Req ID: 215934.

This internship position operates on a Hybrid model out of EA’s technology and development studio in Hyderabad, Telangana, India. The role focuses on leveraging Generative AI, agentic engineering workflows, modern ETL/ELT data pipelines, and cloud analytics platforms to transform how EA processes player telemetry and builds automated data products across major AAA gaming franchises.

Job Details

About Company

Electronic Arts (EA) is a global leader in digital interactive entertainment. Headquartered in Redwood City, California, EA develops and delivers games, content, and online live services for consoles, PCs, and mobile devices.

EA’s portfolio features iconic world-renowned franchises including EA SPORTS FC, Apex Legends, Battlefield, The Sims, Madden NFL, Need for Speed, and EA SPORTS F1. EA’s Hyderabad studio plays a vital role in central technology operations, powering backend live-service infrastructure, player data analytics, machine learning pipelines, and core game development through teams like EA Digital Platform (EADP) and Slingshot Studios.

Comprehensive Job Overview

As a Data and AI Engineering Intern at EA, you will join the Data & Analytics engineering group. This internship focuses on the practical application of Generative AI, LLMs, and agentic engineering to modernize traditional data pipelines, data modeling, and internal automation.

Instead of basic database maintenance, you will build AI-assisted data solutions where autonomous AI agents interpret pipeline specifications, generate and run validation tests, monitor telemetry data quality, draft technical documentation, and triage runtime anomalies—all under proper human oversight. You will work directly with data architects, ML engineers, and analytical leads to process billions of player events into actionable gaming insights.

Requirements & Qualifications

1. Educational Eligibility

• Degree Program: Currently pursuing a Bachelor’s (B.E. / B.Tech), Master’s (M.E. / M.Tech / MS), or dual-degree program in Computer Science, Information Technology, Data Science, Artificial Intelligence, Software Engineering, or a related quantitative discipline.
• Academic Standing: Must be actively enrolled at an accredited university and returning to complete degree requirements after the internship.

2. Technical & Fundamental Skills

• Core Programming: Strong, practical proficiency in Python and SQL for writing data ingestion scripts, data transformations, and analysis.
• Computer Science Foundations: Solid understanding of core data structures, algorithms, object-oriented programming, and API interactions.
• Version Control: Hands-on experience using Git and GitHub/GitLab for collaborative code development.
• Generative AI Awareness: Understanding of foundational Generative AI concepts, prompt engineering, and API integrations.

3. Preferred / Advantageous Skills

• Modern AI Frameworks: Familiarity with agentic tools and LLM frameworks such as LangChain, LangGraph, LlamaIndex, vector search databases, or Retrieval-Augmented Generation (RAG) architectures.
• Big Data & Cloud Stack: Exposure to platforms like Snowflake, Databricks, Apache Spark, dbt, Apache Airflow, Streamlit, or major cloud ecosystems (AWS, GCP, Azure).
• Machine Learning Libraries: Basic project experience using PyTorch, TensorFlow, or Scikit-learn.

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Key Roles and Responsibilities

1. AI-Assisted Data Ingestion: Write efficient Python and SQL scripts to ingest, transform, clean, and validate massive gaming datasets.
2. Build Agentic & LLM Prototypes: Prototype tools using Large Language Models (LLMs), RAG pipelines, vector embeddings, tool calling, and automated agentic workflows to improve developer productivity.
3. ETL/ELT Pipeline Development: Assist in constructing scalable data models, RESTful APIs, and reusable data products for internal telemetry analysis.
4. Data Quality & Responsible AI: Apply automated testing routines, security protocols, governance standards, and ethical AI practices to data workflows.
5. Technical Collaboration: Participate in code reviews, document technical solutions, and present prototype findings to senior engineering leaders.

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Technical Tools & Technology Stack

Internship Structure & Benefits

• Mentorship & Networking: Paired with senior data architects under EA’s emerging talent program structured around three core pillars: Real Work, Real Potential, and Real Connections.
• Hands-on AAA Scale: Work directly on production-grade infrastructure that processes live data from millions of active players.
• Perks & Culture: Competitive stipend, hybrid working flexibility, access to EA game libraries, mental health resources, and structured learning sessions.
• Full-Time Conversion (PPO): High-performing interns are evaluated for full-time Pre-Placement Offers (PPO) upon degree completion.

Step-by-Step Technical Preparation Strategy

Step 1: Master Python & Complex SQL Data Transformations

• SQL: Practice complex JOIN operations, window functions (ROW_NUMBER(), RANK(), LEAD(), LAG()), CTEs, and aggregation filters.
• Python Data Wrangling: Be comfortable manipulating structured data without external libraries first, then master pandas and NumPy for in-memory transformations.

Step 2: Build a Practical Agentic / RAG Mini-Project

• Construct a personal GitHub project using Python, LangChain or LangGraph, and a vector database (such as FAISS, Chroma, or Pinecone).
• Show how your script accepts unstructured query inputs, runs vector search over a local dataset, and outputs structured code or automated SQL queries.

Step 3: Brush Up on Data Engineering Concepts

• Understand the difference between ETL vs. ELT, relational vs. non-relational databases, and basic data warehouse schema designs (Star Schema vs. Snowflake Schema).

Interview & Selection Process

1. Resume Screening: Profile evaluation based on Python/SQL skills, CS fundamentals, Git usage, and AI project experience.
2. Online Technical Assessment (OA): 60–90 minute test covering SQL queries, Python data structure coding challenges, and basic algorithm questions.
3. Technical Interview 1 (Data & Code Fundamentals): Live pair-programming focusing on writing optimized SQL code, data manipulation in Python, and explaining algorithmic complexity.
4. Technical Interview 2 (AI, System Design & Projects): Discussion on your machine learning/LLM projects, basic system design for data pipelines, and agentic AI tools.
5. Managerial & Behavioral Interview: Discussion around teamwork, adaptability, communication skills, and passion for gaming/interactive entertainment.

How to Apply?

1. Visit the official Electronic Arts career portal link provided below.
2. Verify Req ID: 215934 and select the Hyderabad, India location listing.
3. Click Apply Now and log into your EA candidate account.
4. Upload your resume ensuring explicit mentions of Python, SQL, Git, database projects, and LLM/Generative AI coursework.
5. Complete the candidate application questionnaire and submit.

Official Application Link:Apply on EA