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.
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.
As a Data Engineer, you will collaborate with the User-Generated Experiences (UGX) team to implement data strategies. You will develop complex ETL pipelines, supporting dashboards that provide deeper understanding of game and player insights.
You will report to the Technical Lead.
Responsibilities:
- You will gather requirements, model and design solutions to support product analytics, business analytics and data science teams
- You will design and implement scalable and robust data pipelines using cloud-native and open-source technologies.
- You will develop and optimize ETL/ELT processes to ingest, transform, and deliver data from diverse sources.
- You will support production code to produce comprehensive and accurate datasets.
- You will automate the deployment and monitoring of data workflows using CI/CD best practices.
- You will participate in code reviews, mentor junior engineers, and contribute to team knowledge sharing.
Qualifications:
- 6+ years of experience in a data engineering role
- Proficiency writing SQL queries and knowledge of cloud-based databases like Snowflake, Redshift, BigQuery or other big data solutions
- Expertise in Python
- Experience with data pipeline orchestration, using Airflow
- Experience in data modelling and tools such as dbt, ETL processes, and data warehousing
- Experience with version control and code review tools such as Git
- Experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (e.g., Docker, Terraform, or CloudFormation)
- Familiarity with data quality, data governance, and observability tools (e.g., Great Expectations, Monte Carlo).
- Experience with BI and data visualization tools (e.g., Looker, Tableau, or Power BI).
Pay Transparency - North America
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
- Ontario $122,300 - $159,600 CAD
Pay is just one part of the overall compensation at EA.
In Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, and extended health/dental/vision coverage and basic life insurance.