Data Engineer at Electronic Arts
Vancouver, BC, Canada -
Full Time


Start Date

Immediate

Expiry Date

16 Nov, 25

Salary

100000.0

Posted On

16 Aug, 25

Experience

1 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Modeling, Sql, Etl, Business Intelligence, Python, Version Control, Scientists, Sql Server, Airflow, Leadership

Industry

Information Technology/IT

Description

GENERAL INFORMATION

Locations: Vancouver, British Columbia, Canada

  • Location: Vancouver
  • Country: Canada
  • Location: Edmonton
  • Country: Canada

Role ID
210102
Worker Type
Regular 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.
Join our Data and Analytics team to support major game titles by providing insights into player behavior and development cycles. We are looking for an experienced Data Engineer with strong technical skills to handle large data volumes. Reporting to the Technical Director, you’ll be involved in all stages of development, collaborating with analysts, scientists, and leadership to create robust ETL pipelines for Business Intelligence. You will work in Hybrid remote/in-office role, with 3 days in office weekly at one of our Locations in Canada (#LI-Hybrid).

QUALIFICATIONS:

  • 4+ years experience in data engineering with a degree in a quantitative field.
  • You have 1+ year experience working with on-prem solutions like SQL Server.
  • You have 3+ in SQL and cloud databases (e.g., Snowflake, Redshift, Databricks).
  • You have 3+ years experience in data modeling, ETL, and warehousing.
  • You have 3+ years experience with Python, Airflow, and version control (GitHub/GitLab).

How To Apply:

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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.
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