Data Engineer II

Maxis Studios

Job Summary

As a Data Engineer II at Electronic Arts, you will join the Central Technology Data & Insights team, supporting data and metrics for major titles like Madden and NHL. Your role involves collaborating with Game, Analytics, and Product teams to implement data strategies, design, and develop complex ETL pipelines using cloud-native and open-source technologies. You will also optimize ETL/ELT processes and support production code to produce comprehensive and accurate datasets, contributing to a deeper understanding of our games.

Must Have

  • Gather requirements, model and design solutions to support product analytics, business analytics and data science teams.
  • Design and implement efficient and scalable data pipelines using cloud-native and open-source technologies.
  • Develop and optimize ETL/ELT processes.
  • Support production code to produce comprehensive and accurate datasets.
  • 4+ years of experience in a data engineering role.
  • Proficiency writing SQL queries.
  • Knowledge of cloud-based databases like Snowflake, Redshift, BigQuery or other big data solutions.
  • Experience in data modeling and tools such as dbt, ETL processes, and data warehousing.
  • Experience with programming languages including Python, Java.
  • Experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (e.g., Docker, Terraform, and CloudFormation).
  • Experience with BI and data visualization tools (e.g., Looker, Tableau, or Power BI).

Good to Have

  • Gaming industry experience.
  • Experience with big data technologies such as EMR, Databricks, Kafka, Spark, or Iceberg.
  • Experience with AI/ML platforms or supporting AI-driven analytics.

Perks & Benefits

  • Holistic approach to benefits programs, emphasizing physical, emotional, financial, career, and community wellness.
  • Healthcare coverage.
  • Mental well-being support.
  • Retirement savings.
  • Paid time off.
  • Family leaves.
  • Complimentary games.

Job Description

General Information

Role ID

211599

Worker Type

Regular Employee

Studio/Department

CT - Data & Insights

Work Model

Hybrid

Description & Requirements

creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.

Central Technology is a force multiplier. Our teams develop EA's proprietary game engine, drive cutting-edge research, manage innovative infrastructures, create safety and security, and transform data into inspiration.

The Data & Insights (D&I) team harnesses the power of data to deliver transformative insights and solutions to EA game teams and players. D&I teams are involved in every aspect of data, driving strategy and governance; building powerful data and AI applications; and developing personalization, experimentation, and analytics tools, and more.

As a Data Engineer II, you will support data and metrics for titles such as Madden, College Football, NHL and UFC. You will collaborate with Game, Analytics and Product teams to implement data strategies and develop complex ETL pipelines that support dashboards for promoting deeper understanding of our games.

You will report to a Technical Director.

Responsibilities:

  • You will gather requirements, model and design solutions to support product analytics, business analytics and data science teams.
  • You will design and implement efficient and scalable data pipelines using cloud-native and open-source technologies.
  • You will develop and optimize ETL/ELT processes
  • You will support production code to produce comprehensive and accurate datasets.

Qualifications:

  • 4+ years of experience in a data engineering role
  • Proficiency writing SQL queries
  • Knowledge of cloud-based databases like Snowflake, Redshift, BigQuery or other big data solutions
  • Experience in data modeling and tools such as dbt, ETL processes, and data warehousing
  • Experience with programming languages including Python, Java
  • Experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (e.g., Docker, Terraform, and CloudFormation).
  • Experience with BI and data visualization tools (e.g., Looker, Tableau, or Power BI)

Bonus:

  • Gaming industry experience
  • Experience with big data technologies such as EMR, Databricks, Kafka, Spark, or Iceberg
  • Experience with AI/ML platforms or supporting AI-driven analytics

This is a hybrid remote/in-office role.

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.

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.

LinkedInID

1449

16 Skills Required For This Role

Data Analytics Game Texts Business Analysis Aws Azure Data Visualization Terraform Power Bi Looker Tableau Spark Data Science Docker Python Sql Java

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