Software Engineer II - Data and Insights (D&I)

Electronic Arts

Hybrid

Quick summary

Work type
Hybrid
Location
Vancouver, BC, Canada
Salary
$104,500–$142,800 / yr
Posted
16 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $169k
This role $124k
$92k most similar roles pay here $217k

This role pays less than 88% of similar roles. Most pay $134,500–$203,525 — the shaded band above. At the midpoint, this role pays about $124k versus about $169k for comparable roles.

Based on 240 similar postings.

Employer

About Electronic Arts

Electronic Arts is a global leader in digital interactive entertainment, developing and publishing games for consoles, mobile, and PC under franchises including FIFA, Madden NFL, The Sims, Apex Legends, and Battlefield.

Electronic Arts currently has 127 open roles on FindRole.

Listed pay typically runs $122,300–$170,700 across 76 roles with salary data.

Most-posted roles

View all roles at Electronic Arts

At a glance

TL;DR · Software Engineer II - Data and Insights (D&I)

As a Software Engineer II on Electronic Arts' Data & Insights (D&I) team, you will join the Enterprise Data & Insights Engineering (EDIE) group to build foundational data systems and platforms that support EA's lifecycle management capabilities at scale. Your day-to-day responsibilities include developing ETL pipelines for both batch and real-time processing, creating quality assurance tools to ensure data accuracy and reliability, and implementing automated workflows using AI/GenAI technologies. You will work with cloud platforms like AWS or GCP, data warehouses such as Snowflake, and distributed processing frameworks including Spark and Kafka. Additionally, you should have experience with backend frameworks like Spring Boot and frontend technologies such as React or Angular. This role requires a strong background in Java/Python programming and SQL expertise to tackle complex engineering challenges at a large scale.

What you'll do

  • Develop solutions for managing billions of player profiles.
  • Create quality assurance tools to ensure data accuracy and reliability.
  • Design and implement ETL pipelines for batch and real-time data processing.
  • Work with internal customers to design and automate new workflows.
  • Use AI/GenAI tools to enhance engineering efficiency in data systems.

What we're looking for

  • 3+ years of experience as a software engineer
  • Proficiency in Java/Python and SQL expertise
  • Experience with cloud platforms (AWS, GCP)
  • Expertise in data warehouses (Snowflake, Redshift, BigQuery)
  • Knowledge of NoSQL databases (Cassandra or ScyllaDB) and distributed processing (Spark, Trino)
  • Familiarity with streaming technologies (Kafka, Flink, Spark Streaming) and Airflow
  • Experience with Git/CI/CD, containerization tools (Docker, Kubernetes), and backend frameworks (Spring Boot, Node.js)

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