Data Engineer II - Temporary

Electronic Arts; Vancouver; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

A leading video game company in Vancouver is seeking an experienced Data Engineer to develop data strategies and implement data pipelines that enhance gaming experiences. This position allows for hybrid or onsite work and includes responsibilities such as designing scalable data solutions and collaborating with multiple teams. Ideal candidates will have over 4 years of experience in data engineering with strong skills in SQL and cloud technologies. Competitive compensation package includes 3 weeks vacation and health benefits.

Benefits

3 weeks of vacation

10 days of sick time

Extended health/dental/vision coverage

Qualifications

• 4+ years experience in data engineering.
• Experience with cloud databases and data warehousing.
• Familiarity with Agile development environments.

Responsibilities

• Implement and maintain data pipelines.
• Develop ETL/ELT processes.
• Document data processes for transparency.

Skills

SQL proficiency

Data pipeline orchestration (Airflow)

Python or Java

Data modeling tools (dbt)

BI tools experience (Looker, Tableau, Power BI)

Education

Graduate degree in Computer Science or related field

Tools

Snowflake

AWS

Git

Job description

Description & Requirements

Electronic Arts creates next‑level entertainment experiences that inspire players and fans around the world. The Data & Insights (D&I) team uses data to deliver valuable insights and solutions for game teams and players, driving strategy, building data and AI tools, and supporting personalization, experimentation, and analytics. The team works with experts to improve understanding, workflows, and player experiences.

We are looking for an experienced Data Engineer to join our team temporarily with a potential conversion after 12 months. This role will be based in Vancouver, BC and is available for a hybrid or onsite work model.

You will collaborate with Game, Analytics and Product teams to implement data strategies and develop complex ETL pipelines that support dashboards and deeper understanding of our games. You will be part of the data modernization efforts for NHL and UFC, migrating data features from legacy architecture to a modern medallion architecture using the latest data engineering tech stack.

Key Responsibilities

• Design, implement, and maintain efficient, scalable, and robust data pipelines using cloud‑native and open‑source technologies.
• Develop and optimize ETL/ELT processes to ingest, transform, and deliver data from diverse sources.
• Gather requirements, model, and design solutions to support product analytics, business analytics, and data science teams.
• Support production code to produce comprehensive and accurate datasets.
• Automate deployment and monitoring of data workflows using CI/CD best practices.
• Guide communications between our users and studio engineers to provide scalable end‑to‑end solutions.
• Promote strategies to improve data modelling, quality, and architecture.
• Participate in code reviews, mentor junior engineers, and contribute to team knowledge sharing.
• Document data processes, architecture, and workflows for transparency and maintainability.
• Explore data feature designs and suggest new opportunities for cost and compute optimization.

Required Qualifications

• 4+ years relevant industry experience in a data engineering role and a graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
• Proficiency in writing SQL queries and knowledge of cloud‑based databases such as Snowflake, Redshift, BigQuery, or other big data solutions.
• Experience in data modelling and tools such as dbt, ETL processes, and data warehousing.
• Experience with at least one of the programming languages like Python or Java.
• Experience with version control and code review tools such as Git.
• Knowledge of latest data pipeline orchestration tools such as Airflow.
• Experience with cloud platforms (AWS, GCP, or Azure) and infrastructure‑as‑code tools (e.g., Docker, Terraform, CloudFormation).
• Familiarity with data quality, data governance, and observability tools (e.g., Great Expectations, Monte Carlo).
• Comfortable working with a multi‑functional team, both locally and remote.
• Experience with BI and data visualization tools (e.g., Looker, Tableau, Power BI).
• Experience working in an Agile development environment and familiarity with process management tools such as JIRA, Trello, or similar.

Pluses

• Experience in gaming and working with telemetry data or similar sources.
• Experience with big data platforms and technologies such as EMR, Databricks, Kafka, Spark, Iceberg.
• Experience in developing engineering solutions based on near real‑time or streaming datasets.
• Exposure to AI/ML, MLOps concepts and collaboration with data science or AI teams.
• Experience integrating data solutions with AI/ML platforms or supporting AI‑driven analytics.

Pay Transparency - North America

COMPENSATION AND BENEFITS

In British Columbia, we offer a package that includes 3 weeks of vacation per year, 10 days of sick time per year, extended health/dental/vision coverage, and basic life insurance.

About Electronic Arts

We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity, and we empower you to pursue opportunities for growth.

Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.