Senior Data Engineer

Electronic Arts

Hybrid

Quick summary

Work type: Hybrid
Location: Austin, TX
Posted: 2 days ago

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Salary context

How this pay compares to similar roles

Similar $176k

$120k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $140,418–$211,200.

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 75 open roles on FindRole.

Listed pay typically runs $122,300–$184,000 across 41 roles with salary data.

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At a glance

TL;DR · Senior Data Engineer

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The Senior Data Engineer at Electronic Arts is a key role within the CT - IT department, responsible for designing and maintaining scalable data pipelines and platforms that support analytics, business intelligence, machine learning, AI, and agentic solutions. This position involves collaborating with data scientists, analysts, and product teams to ensure data solutions are reliable and aligned with business needs. Key responsibilities include developing ELT/ETL processes, building data products for analytics and AI workflows, optimizing database systems, and implementing data security measures. The ideal candidate has 8+ years of experience in BI or data engineering, proficiency in SQL, knowledge of cloud platforms like AWS, Azure, or Google Cloud, and strong programming skills in Python, Java, JavaScript, or Scala. Experience with Snowflake, Redshift, Hadoop, Spark, and AI/ML concepts is essential, as well as familiarity with vector databases and agentic AI patterns.

Skills

Python Java Scala SQL Snowflake Redshift BigQuery Databricks Hadoop Spark AWS Azure Google Cloud Kafka Flink Spark Streaming Kinesis Pinecone Weaviate OpenSearch Elasticsearch pgvector Snowflake Cortex Search LangChain LangGraph LlamaIndex Semantic Kernel AutoGen CrewAI MLOps LLMOps Data observability CI/CD

What you'll do

Design and develop scalable data pipelines for large datasets.
Implement ELT/ETL processes to support analytics, AI, and machine learning.
Build and maintain data products that support business intelligence needs.
Ensure data quality, observability, lineage, integrity, and reliability.
Optimize database systems for performance, scalability, and cost efficiency.
Integrate enterprise data with vector databases and knowledge graphs.

What we're looking for

8+ years of experience in BI, data engineering, or enterprise data environments
Proficiency in SQL and strong programming skills in Python, Java, JavaScript, or Scala
Knowledge of data warehousing solutions like Snowflake, Redshift, BigQuery, Databricks
Experience with big data technologies such as Hadoop, Spark, or distributed data processing frameworks
Familiarity with AI/ML data lifecycle concepts and generative AI patterns
Understanding of agentic AI patterns including tool use, orchestration, workflow automation
Experience applying data governance, security, privacy, and compliance controls

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