Data Engineer

• State:
  British Columbia
• Country:
  Canada

212451

Worker Type

Temporary Employee

Studio/Department

CT - Data & Insights

Work Model

Hybrid

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.

We are looking for an experienced Data Engineer with broad technical skills and ability to work with large amounts of data. You will collaborate with the Marketing team to implement data strategies and develop complex ETL pipelines that support dashboards for promoting deeper understanding of our business.

You will have experience developing and establishing scalable, efficient, automated processes for large scale data analyses. You will also stay informed of the latest trends and research on all aspects of data engineering and analytics. You will work with leaders from Marketing org, providing them with data for understanding game and player insights and report to the Technical Lead for this group.

You will have an impact on shaping the gaming experience of players.

Key Responsibilities:

As a Data Engineer you will be involved in the entire development life cycle, from brainstorming ideas to implementing elegant solutions to obtain data insights.

You will gather requirements, model and design solutions to support product analytics, business analytics and data science teams

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.

You will work with analysts, understand requirements, develop technical specifications for ETLs, including documentation.

You will support production code to produce comprehensive and accurate datasets.

Automate deployment and monitoring of data workflows using CI/CD best practices.

You will guide communications between our users and studio engineers to provide scalable end-to-end solutions.

You will promote strategies to improve our 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.

You will work with big data solutions, data modelling, understand the ETL pipelines and dashboard tools.

Explore data feature designs and suggest new opportunities of cost and compute optimization

Required Qualifications:

4+ 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, Big Query 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, 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, Cloud Formation).

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, understanding the perspectives of each partner

Experience with BI and data visualization tools (e.g., Looker, Tableau, Power BI).

Excellent communication and collaboration skills.

Experience working in a fast paced environment

Experience working in an Agile development environment and familiar with process management tools such as JIRA, Target process, Trello or similar

Nice to Have:

Experience in gaming and working with its telemetry data or data from 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/streaming dataset

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

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

Pay is just one part of the overall compensation at EA.

In British…