Senior Data Engineer

Electronic Arts

Hybrid

Quick summary

Work type: Hybrid
Location: Redwood City, CAShanghai, China
Posted: 3 days ago
Nearby: 7 roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $171k

$127k most similar roles pay here $222k

This listing doesn't post a salary. Most similar roles pay $137,450–$204,625.

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.

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At a glance

TL;DR · Senior Data Engineer

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The Senior Data Engineer role at EA Studios - SPORTS in Shanghai involves building and maintaining data infrastructure for the FC Mobile franchise, supporting analytics, AI/ML workloads, and business insights. Day-to-day responsibilities include designing scalable data pipeline architectures using SQL and AWS technologies, assembling large datasets for various applications, and automating processes to enhance scalability and reliability. The role also entails developing analytics tools and AI-enabled products that provide actionable insights into player behavior and operational efficiency. Key skills required are advanced experience with relational and NoSQL databases, big data tools like Hadoop and Spark, AWS cloud services, Python data ecosystem, and familiarity with AI/ML engineering practices. This position demands strong project management and cross-functional communication abilities to collaborate effectively across teams.

Skills

AWS SQL PostgreSQL Hive Hadoop Presto Spark Kafka Airflow Python pandas NumPy requests matplotlib scikit-learn PyTorch EC2 S3 Aurora Redshift Glue Athena SageMaker

What you'll do

Design and build scalable data pipeline architecture using SQL and AWS technologies.
Assemble large, complex datasets for analytics, machine learning, and AI applications.
Implement internal process improvements to optimize data delivery and scalability.
Build and maintain analytics tools providing actionable insights into player behavior and performance metrics.
Ensure data security and compliance across multiple international data centers and AWS regions.
Develop and maintain data tools that empower analytics teams to accelerate experimentation and product development.

What we're looking for

5-8 years of experience in a Data Engineer role.
Advanced working knowledge of SQL, NoSQL databases, and big data tools like Hadoop, Spark, Kafka.
Experience with AWS cloud services including EC2, S3, Aurora, Redshift, Glue, Athena, SageMaker.
Familiarity with AI/ML engineering practices: feature stores, model training pipelines, inference endpoints.
Strong skills in Python data ecosystem (pandas, NumPy, requests, matplotlib) and machine learning libraries.
Experience with data pipeline and workflow management tools such as Airflow or Luigi.
Working knowledge of message queuing, stream processing, and scalable data stores.

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