Data Engineer

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. As a part of our Data and Analytics team, you will support some of our largest game titles by helping us understand player engagement and measure the effectiveness of our marketing efforts. We are looking for an experienced Data Engineer with broad technical skills and ability to work with large amounts of data. You will report to the Lead Data Engineer under the Senior Director of Growth Analytics. You will be involved in the entire development life cycle, from brainstorming ideas to implementing elegant solutions to obtain data insights. You will collaborate with data scientists and user-acquisition managers to implement data strategies and develop complex ETL pipelines that support dashboards that promote deeper understanding of our audiences and player behaviour. This position will evolve into a hybrid work schedule with 3 days in office each week. Responsibilities: * You will work with analysts, understand requirements, and develop technical specifications for ETLs * You will implement efficient, scalable and reliable data pipelines to move and transform data. * You will promote strategies to improve our data modelling, quality and architecture * You will work with big data solutions, ETL pipelines and dashboard tools. Qualifications: * 3+ 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, ETL processes, and data warehousing * Experience with Python and data pipeline tools such as Airflow * Experience with version control systems like GitHub / GitLab * Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes) COMPENSATION AND BENEFITS 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