Data Engineer- II

Electronic Arts

Hybrid

Quick summary

Work type: Hybrid
Location: Redwood City, CAHyderabad, Telangana, India
Posted: 3 days ago
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $167k

$117k most similar roles pay here $216k

This listing doesn't post a salary. Most similar roles pay $126,800–$206,451.

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 96 open roles on FindRole.

Listed pay typically runs $122,300–$170,700 across 55 roles with salary data.

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At a glance

TL;DR · Data Engineer- II

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As a Data Engineer at Electronic Arts, you will join the Data & Insights team to design and build scalable data engineering pipelines that support reporting, analytics, and exploratory analysis. Your day-to-day responsibilities include translating business requirements into technical specifications, developing efficient ETL/ELT processes, and ensuring reliable data processing across various workloads. You will leverage cloud platforms like AWS, GCP, or Azure, along with tools such as Snowflake, Apache Spark, and Airflow, to create robust data solutions. Additionally, you will collaborate closely with architects, data scientists, and analysts to deliver end-to-end projects while promoting best practices in data modeling and architecture. Ideal candidates possess a strong background in computer science, extensive experience with cloud infrastructure and big data technologies, and proficiency in Python or SQL.

Skills

AWS GCP Azure Terraform Snowflake Redshift BigQuery Apache Iceberg Apache Spark Kafka Kinesis Airflow Git Docker Kubernetes CI/CD JIRA Tableau Looker Power BI

What you'll do

Design and build efficient, scalable data engineering pipelines for high-volume data.
Ensure reliable processing of real-time, near-real-time, batch, and on-demand workloads.
Translate business requirements into technical specifications for data solutions.
Develop and optimize production data workflows to maintain accurate datasets.
Use orchestration tools like Airflow to streamline and automate data workflows.

What we're looking for

Bachelor's or Master's degree in Computer Science with at least 3 years of data engineering experience.
Proficient in SQL, Python, and cloud platforms like AWS, GCP, Azure.
Expertise in Cloud Data Warehouses (Snowflake, Redshift) and distributed data processing frameworks (Apache Spark).
Experience with real-time streaming technologies (Kafka, Kinesis) and pipeline orchestration tools (Airflow).
Strong problem-solving skills and ability to work effectively across business and engineering teams.

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