Data Engineer II

Electronic Arts is seeking an experienced Data Engineer II to join the CT - Data & Insights team. This role involves collaborating with Game and Product Analytics teams to implement data strategies and develop complex ETL pipelines for mobile applications. The engineer will design, implement, and maintain scalable data pipelines, optimize ETL/ELT processes, and support production code to produce accurate datasets. They will also promote data modeling, quality, and architecture improvements, working with big data solutions and dashboard tools.

Must Have

• Gather requirements, model and design solutions to support product analytics, business analytics and data science teams
• Design, implement and maintain efficient, scalable and robust data pipelines using cloud-native and open source technologies
• Develop and optimize ETL/ELT processes to ingest, transform, and deliver data from diverse sources
• Support production code to produce comprehensive and accurate datasets
• Automate deployment and monitoring of data workflows using CI/CD best practices
• Promote strategies to improve our data modelling, quality and architecture
• 4+ years relevant industry experience in a data engineering role
• Proficiency in writing SQL queries
• Knowledge of cloud-based databases like Snowflake, Redshift, BigQuery or other big data solutions
• Experience in data modelling and tools such as dbt, ETL processes, and data warehousing
• Experience with at least one of the programming languages like Python, Java
• Experience with version control and code review tools such as Git
• Knowledge of latest data pipeline orchestration tools such as Airflow
• Experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (e.g., Docker, Terraform, CloudFormation)
• Familiarity with data quality, data governance, and observability tools (e.g., Great Expectations, Monte Carlo)
• Experience with BI and data visualization tools (e.g., Looker, Tableau, Power BI)

Good to Have

• Experience in gaming and working with its telemetry data or data from similar sources
• Experience with big data platforms and technologies such as EMR, Databricks, Kafka, Spark, Iceberg
• Experience in developing engineering solutions based on near real-time/streaming dataset
• Exposure to AI/ML, MLOps concepts and collaboration with data science or AI teams
• Experience integrating data solutions with AI/ML platforms or supporting AI-driven analytics

Perks & Benefits

• Healthcare coverage
• Mental well-being support
• Retirement savings
• Paid time off
• Family leaves
• Complimentary games

General Information

Locations: Offsite - Canada ON, Ontario, Canada

Role ID

211705

Worker Type

Temporary Employee

Studio/Department

CT - Data & Insights

Work Model

Hybrid

Description & Requirements

Electronic Arts 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.

We are looking for an experienced Data Engineer with broad technical skills and ability to work with large amounts of data. You will collaborate with the Game and Product Analytics teams to implement data strategies and develop complex ETL pipelines that support dashboards for promoting deeper understanding of our games and applications. You will be working on developing data solutions for a mobile application led by EA Venture team.

You will have experience developing and establishing scalable, efficient, automated processes for large scale data analyses. You will also stay informed of the latest trends and research on all aspects of data engineering and analytics. You will work with leaders from an internal Game Studio, providing them with data for understanding game and player insights and report to the Technical Director for this group.

Key Responsibilities:

• As a Data Engineer you will be involved in the entire development life cycle, from brainstorming ideas to implementing elegant solutions to obtain data insights.
• You will gather requirements, model and design solutions to support product analytics, business analytics and data science teams
• Design, implement and maintain efficient, scalable and robust data pipelines using cloud-native and open source technologies
• Develop and optimize ETL/ELT processes to ingest, transform, and deliver data from diverse sources.
• You will work with analysts, understand requirements, develop technical specifications for ETLs, including documentation.
• You will support production code to produce comprehensive and accurate datasets.
• Automate deployment and monitoring of data workflows using CI/CD best practices.
• You will guide communications between our users and studio engineers to provide scalable end-to-end solutions.
• You will promote strategies to improve our data modelling, quality and architecture
• Participate in code reviews, mentor junior engineers, and contribute to team knowledge sharing.
• Document data processes, architecture, and workflows for transparency and maintainability.
• You will work with big data solutions, data modelling, understand the ETL pipelines and dashboard tools.
• Explore data feature designs and suggest new opportunities of cost and compute optimization

Required Qualifications:

• 4+ years relevant industry experience in a data engineering role and graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
• Proficiency in writing SQL queries and knowledge of cloud-based databases like Snowflake, Redshift, BigQuery or other big data solutions
• Experience in data modelling and tools such as dbt, ETL processes, and data warehousing
• Experience with at least one of the programming languages like Python, Java
• Experience with version control and code review tools such as Git
• Knowledge of latest data pipeline orchestration tools such as Airflow
• Experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (e.g., Docker, Terraform, CloudFormation).
• Familiarity with data quality, data governance, and observability tools (e.g., Great Expectations, Monte Carlo).
• Comfortable working with a multi-functional team, both locally and remote, understanding the perspectives of each partner
• Experience with BI and data visualization tools (e.g., Looker, Tableau, Power BI).
• Excellent communication and collaboration skills.
• Experience working in a fast paced environment
• Experience working in an Agile development environment and familiar with process management tools such as JIRA, Target process, Trello or similar

Nice to Have:

• Experience in gaming and working with its telemetry data or data from similar sources
• Experience with big data platforms and technologies such as EMR, Databricks, Kafka, Spark, Iceberg
• Experience in developing engineering solutions based on near real-time/streaming dataset
• Exposure to AI/ML, MLOps concepts and collaboration with data science or AI teams.
• Experience integrating data solutions with AI/ML platforms or supporting AI-driven analytics

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.

LinkedInID

1449