Data Engineer - EA Sports FC

Electronic Arts

Hybrid

Quick summary

Work type: Hybrid
Location: Redwood City, CAVancouver, British Columbia, Canada
Salary: $122,300–$170,700 / yr
Posted: 5 days ago
Nearby: 66 roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $180k

This role $146k

$106k most similar roles pay here $248k

This role pays less than 90% of similar roles. Most pay $152,150–$207,350 — the shaded band above. At the midpoint, this role pays about $146k versus about $180k 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 · Data Engineer - EA Sports FC

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As a seasoned Data Engineer at EA Sports FC, you will join the multidisciplinary team led by the Senior Data Science Manager to design and implement high-impact data pipelines that deliver actionable business insights. Your day-to-day responsibilities include leading the architecture of robust data models, managing scalable infrastructure, and ensuring the deployment and maintenance of resilient ETL/ELT pipelines. You will also collaborate closely with stakeholders to translate complex requirements into technical solutions, oversee batch and real-time processing frameworks, and ensure data quality through performance tuning and alerting mechanisms. The ideal candidate has 4-6+ years of experience in advanced database systems, big data ecosystems like Trino, Spark, and Kafka, cloud infrastructure on AWS, and proficiency in Python, C#, or Scala for developing production-grade code. This role involves delivering AI-driven insights using tools such as Alation AI and Databricks AI/BI while championing data governance to maintain high-quality data across EA Sports FC’s global player base of over 200 million users.

Skills

AWS Python C# Scala Airflow Trino Spark Kafka Alation AI Databricks AI/BI SQL No-SQL CI/CD

What you'll do

Lead the design and implementation of robust, scalable data architectures.
Own end-to-end data lifecycle from requirement gathering to deployment.
Address complex data engineering challenges with modular, maintainable systems.
Oversee deployment and optimization of batch and real-time processing frameworks.
Serve as a bridge between technical teams and non-technical stakeholders.

What we're looking for

4-6+ years of experience in data engineering and architecture.
Proven expertise in designing resilient, scalable data architectures.
Deep proficiency in managing high-performance SQL and NoSQL databases.
Extensive experience with big data technologies like Trino, Spark, Kafka.
Advanced programming skills in Python, C#, or Scala for production code.
Hands-on experience deploying and scaling cloud infrastructure on AWS.
Proven ability to engineer robust ETL/ELT pipelines using industry tools.

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