Software Engineer II - Data Quality Automation

Electronic Arts

Vancouver, Canada

Electronic Arts Inc. is a global leader in interactive entertainment. We develop and deliver games, content and online services across platforms. We have a broad portfolio of brands that span the most popular genres.

We exist to Inspire the World to Play. We create extraordinary new game experiences for our millions of players everywhere by bringing together experienced people that combine creativity, innovation, and passion. We immerse our employees into an inclusive culture and provide opportunities for learning and leading that allow our employees to do the most impactful and rewarding work of their careers.

PIN (Player Insight Network) Quality Verification is a team within the Quality and Verification Standards organization that focuses on validating player experience telemetry at EA. The team is divided into Data Quality Verification and Data Quality Engineering. As a member of the Quality Engineering team, you will report to the technical director, where you will design and implement automated data quality validation solutions that support the Quality Verification team.

Responsibilities

• Design, implement, and support internal tools to empower Quality Verification of player telemetry.
• Create value through creative problem solving with an engineering mindset to collaboratively deliver incremental change that enables the shipping of high-quality stable software.
• Work with development and quality verification teams in an Agile Scrum environment to design, implement, deliver, own, and improve reliable tools, tests, and platforms.
• Develop supporting infrastructure that is scalable and resilient
• Uphold high quality standards through knowledge-sharing activities within the EA-wide quality engineering community
• Advocate for quality and keep the development team accountable.
• Implement our Automation Strategy to a high standard of quality.
• Test your own work and provide reliable, defect-free code that instills confidence in the automation suite.
• In collaboration with the technical director, define the technical direction of the team and facilitate productivity improvements to our engineering workflows.
• Work with a large and distributed team across multiple time zones.

Qualifications & Skills

• Bachelor's degree in Software Engineering, Computer Science or related concentration, equivalent and/or combination of education and work experience.
• 5+ years backend service development with Python and C#.
• 3+ years working with virtualization/containerization and orchestration frameworks like Docker and Kubernetes.
• 2+ years experience with managed cloud providers such as AWS, GCP, or Azure.
• 2+ years working in a Linux based environment.
• 2+ years working with RDBMS or NoSQL databases such as MSSQL and MongoDB.
• 2+ years working with enterprise-scale data warehouses like Snowflake or Hive.
• A solid foundation in Computer Science fundamentals, algorithms, design patterns, test-driven development, CI/CD processes, and data structures.
• Experience with common development tools such as git, IDEs (i.e., Visual Studio, Visual Studio Code), JIRA, Confluence

Additional Assets (Not Required)

• Experience with unit test frameworks like pytest
• Experience with Airflow
• Experience with Helm, Kustomize, and Terraform
• Experience with continuous integration & deployment pipelines
• Experience building a DevOps ecosystem
• Experience with UI test automation frameworks like WebDriver.io, Selenium, Playwright, or Puppeteer