# Data Engineer - EA Sports FC **Company**: Electronic Arts **Location**: Vancouver, British Columbia **Work arrangement**: hybrid **Experience**: senior **Job type**: full-time **Salary**: $122,300 - $170,700 CAD **Category**: Engineering **Industry**: Technology **Ticker**: EA **Wikidata**: https://www.wikidata.org/wiki/Q173941 **Apply**: https://jobs.ea.com/en_US/careers/JobDetail/Data-Engineer/214693?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_595d2e43-d83 ## Description 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. EA SPORTS is one of the leading sports entertainment brands in the world, with top-selling videogame franchises, award-winning interactive technology, fan programs, and cross-platform digital experiences. EA SPORTS creates connected experiences that ignite the emotion of sport through industry-leading sports video games, including Madden NFL football, EA Sports FC, NHL® hockey, NBA LIVE basketball, and EA SPORTS UFC. At the heart of EA SPORTS is the FC franchise. EA SPORTS FC is the world's #1 best-selling video game with over 200M engaged players across multiple platforms, including console, PC, and mobile. Innovation, passion, and teamwork are at the heart of everything we do. With studios in Vancouver, Bucharest, and Cologne, we're looking for the brightest talent, so we can continue to create experiences that connect with millions of hearts and minds the world over. Reporting to the Senior Data Science Manager, we are seeking a seasoned Data Engineer to design and architect high-impact, end-to-end data pipelines that deliver actionable business insights. As a key member of our multidisciplinary team, you will bridge the gap between complex technical engineering and strategic business objectives. The ideal candidate thrives in a dynamic environment, balancing hands-on development with architectural leadership. You will be responsible for creating robust data models, managing scalable infrastructure, and collaborating directly with stakeholders to translate complex requirements into resilient, high-performance data solutions. Your Responsibilities: - Lead the design and implementation of robust, scalable data architectures and conceptual/logical data models that support complex analytical requirements and future business growth. - Own the entire data lifecycle, from initial requirement gathering to the deployment and maintenance of high-performance, resilient ETL/ELT pipelines and data processing workflows. - Address sophisticated data engineering challenges including data ingestion, storage strategies, and reliability by building modular, maintainable, and highly available systems. - Oversee the deployment and optimization of batch and real-time processing frameworks, ensuring data quality, performance tuning, and robust alerting mechanisms. - Serve as a bridge between technical and business teams; clearly translate complex architectural trade-offs, technical designs, and project constraints to non-technical stakeholders to ensure alignment on strategic data initiatives. Your Qualifications: - Proven expertise in designing resilient data architectures and conceptual/logical models that accommodate complex analytical needs and scale with future business growth. - Deep technical proficiency in architecting, managing, and optimizing high-performance SQL and No-SQL database environments. - Extensive experience building and operating distributed systems leveraging technologies such as Trino, Spark, and Kafka. - Advanced programming skills in Python, C#, or Scala, with a dedicated focus on developing clean, modular, and production-grade code. - Hands-on experience deploying and scaling data infrastructure within cloud environments, with a strong preference for AWS. - Proven ability to engineer and maintain robust ETL/ELT pipelines and data workflows using industry-standard tools like Airflow. - Experience delivering AI-driven insights and self-service intelligence via Alation AI, Databricks AI/BI, or similar services, while championing data cataloging and governance to ensure high-quality, actionable data. 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 RANGES** - British Columbia (depending on location e.g. Vancouver vs. Victoria) $122,300 - $170,700 CAD 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. ## Skills ### Required - data architecture - data modeling - ETL/ELT pipelines - data engineering - SQL - No-SQL databases - Python - C# - Scala - Trino - Spark - Kafka - Airflow - AWS - Alation AI - Databricks AI/BI --- Source: [Apply at jobs.ea.com](https://jobs.ea.com/en_US/careers/JobDetail/Data-Engineer/214693?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)