Electronic Arts

The Office of the CXO (Chief Experience Officer) is at the forefront of EA's transformation to become a player-first organization. Our CRM Engineering team plays a central role in enabling 1:1, personalized, real-time communication across EA's global ecosystem. This includes omni-channel content delivery through EA.com, email, and in-game messaging, backed by modern MarTech infrastructure and marketing science.

As a Data Engineer – CRM Engineering, reporting to the Technical Director of CRM Engineering, you will be responsible for building and maintaining the data infrastructure that powers EA's AI-driven marketing personalization at scale. You will design and implement robust ETL pipelines, data warehousing solutions, and analytics frameworks that enable real-time player insights, marketing recommendations, and campaign measurement across EA's global player base of hundreds of millions of users.

Responsibilities

• Design, build, and maintain scalable ETL pipelines to ingest player activity data, marketing interactions, and campaign performance metrics from multiple sources across EA's ecosystem.

• Develop and optimize a marketing data warehouse architecture that supports real-time analytics, player segmentation, and personalization engines.

• Implement data quality frameworks, monitoring systems, and automated testing to ensure data accuracy and pipeline reliability.

• Create and maintain APIs and data services that enable self-service analytics for marketing teams and campaign managers.

• Build measurement and reporting frameworks that track campaign effectiveness, player engagement metrics, and ROI across channels.

• Partner with Engineering teams to ensure data infrastructure can scale with EA's growing player base and marketing complexity.

• Implement data governance practices, including privacy compliance (GDPR, CCPA) and security protocols for sensitive player data.

• Optimize data storage, query performance, and cost efficiency across cloud-based data platforms.

Qualifications

Required:

• 5+ years of data engineering experience with focus on large-scale data systems and ETL development

• Strong proficiency in SQL, Python, and data processing frameworks (Spark, Kafka, Airflow, or similar)

• Experience with cloud data platforms (AWS Redshift, Snowflake, BigQuery) and modern data stack tools

• Hands-on experience building and maintaining data pipelines for high-volume, real-time data ingestion

• Proficiency with data modeling, dimensional modeling, and data warehouse design principles

• Experience with APIs, microservices, and event-driven data architectures

• Strong understanding of data quality, monitoring, and observability practices

• Knowledge of data governance, privacy regulations, and security best practices

Preferred:

• Experience with marketing data sources (CRM systems, email platforms, web analytics)

• Familiarity with gaming or entertainment industry data patterns and player behavior analytics

• Experience with streaming data processing and real-time analytics platforms

• Knowledge of A/B testing frameworks and experimentation measurement systems

• Understanding of machine learning data requirements and feature engineering

• Previous work with consumer-facing applications handling millions of daily active users

• British Columbia (depending on location e.g. Vancouver vs. Victoria)
  • $119,600 - $167,300 CAD

• Washington (depending on location e.g. Seattle vs. Spokane)
  • $129,500 - $171,800 USD

In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity.

In British Columbia, 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.