Data Engineer II - LCM Science, Data and Insights; D&I

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.

Central Technology is the force multiplier, accelerating creative opportunity and progress 're a world-class community of technologists, innovators, strategists, and orchestrators transforming interactive entertainment. Together, we power the platforms, AI-driven tools, live services, and infrastructure that ensure global scale, secure player experiences, and unlock bold new possibilities.

The Data & Insights (D&I) team transforms data into actionable insights that power EA. We guide strategy and governance, build data and AI solutions, and ensure personalization experimentation and analytics; partnering across teams to improve decisions and create more meaningful player experiences.

LCM (Lifecycle Management) Science team
, we partner with game teams and marketing to understand player behavior and measure the effectiveness of our marketing efforts across the player lifecycle.

As a Data Engineer II, you will work on large-scale data systems that power insights into player engagement and marketing performance across some of EA's largest titles. You will collaborate closely with analysts, data scientists, and user acquisition teams to build reliable and scalable data solutions.

You will report to the Lead Data Engineer within the LCM Science team, under the Director of Data Science (Lifecycle Management).

You will work in a hybrid work model, with 3 days per week in one of four EA's Canada offices:
Vancouver, Toronto, Montreal, or Edmonton.

• Work with analysts and stakeholders to understand requirements and translate them into technical specifications
• Build and maintain efficient, scalable, and reliable ETL pipelines
• Design and improve data models to support analytics and reporting
• Ensure data quality, reliability, and consistency across data systems
• Work with cloud data platforms and support dashboards used for business insights
• Contribute to improvements in data architecture and engineering best practices

• 3–6+ years of experience in a data engineering or related role
• Strong SQL skills and experience with cloud data warehouses (e.g., Snowflake, Big Query, Redshift)
• 5+ years of experience building and maintaining ETL pipelines
• Proficiency in Python or a similar programming language
• 3+ years of experience with data modelling and data warehousing concepts
• Experience with version control systems (e.g., Git Hub, Git Lab)
• Experience with workflow orchestration tools (e.g., Airflow)
• Experience working with large-scale or event-based datasets
• Experience supporting analytics or marketing data use cases

The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).

Pay is just one part of the overall compensation at EA.

For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees.

Certain roles may also be eligible for bonus and equity.

This role is for an existing vacancy.

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