Data Engineer II - LCM Science, Data and Insights (D&I)

Electronic Arts

Hybrid

Quick summary

Work type: Hybrid
Location: Vancouver, BC, Canada
Salary: $122,300–$170,700 / yr
Posted: 10 days ago
Nearby: 45 roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $163k

This role $146k

$102k most similar roles pay here $216k

This role pays less than 62% of similar roles. Most pay $126,800–$200,000 — the shaded band above. At the midpoint, this role pays about $146k versus about $163k for comparable roles.

Based on 239 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 94 open roles on FindRole.

Listed pay typically runs $122,300–$170,700 across 53 roles with salary data.

Most-posted roles

View all roles at Electronic Arts

At a glance

TL;DR · Data Engineer II - LCM Science, Data and Insights (D&I)

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As a Data Engineer II in the LCM (Lifecycle Management) Science team at Electronic Arts, you will collaborate with analysts and data scientists to build and maintain large-scale ETL pipelines that provide insights into player engagement and marketing performance for EA’s top games. Your responsibilities include translating stakeholder requirements into technical specifications, ensuring data quality and consistency across systems, and supporting cloud-based dashboards used for business analysis. You will work in a hybrid model from one of EA's Canadian offices, using technologies such as Snowflake or BigQuery, Python, and workflow orchestration tools like Airflow to handle large datasets and support analytics use cases.

Skills

Snowflake Python SQL Airflow GitHub ETL Data Warehousing Cloud Data Platforms Version Control Systems Large-Scale Datasets Event-Based Datasets Data Modelling Analytics Support Maintenance ETL Pipelines Workflow Orchestration Tools

What you'll do

Develop and maintain efficient ETL pipelines for large-scale data systems.
Design and enhance data models to support analytics and reporting needs.
Ensure high data quality, reliability, and consistency across all platforms.
Collaborate with analysts to translate requirements into technical specifications.
Support cloud data platforms and business dashboards for insights generation.

What we're looking for

3-6+ years of experience in data engineering or related role
Strong SQL skills and experience with cloud data warehouses (e.g., Snowflake, BigQuery)
5+ years building and maintaining ETL pipelines
Proficiency in Python or similar programming language
Experience with version control systems like GitHub or GitLab
Familiarity with workflow orchestration tools such as Apache Airflow
Expertise in data modeling and warehousing concepts

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