Data Engineer II — Real-Time Streaming Platform

Sony Playstation

Aliso Viejo (CA)

On-site

USD 150,000 - 225,000

Full time

14 days+
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Benefits offered by this job

Medical, dental, vision benefits
401(k) match
Paid time off

Job summary

Sony Interactive Entertainment is seeking a Data Engineer II in Aliso Viejo, CA to shape data platforms for PlayStation Cloud Streaming. You’ll build JVM-based data tools, stream processing with Flink, and APIs delivering real-time insights across a distributed infra.

Collaborate with BI to translate requirements into actionable analytics, while improving reliability and scalability of the data pipeline across time zones and teams.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science or related field or equivalent practical experience.
  • 3+ years of software development and backend engineering in high-throughput, highly available systems.
  • Proficiency in JVM languages (Kotlin/Scala/Java) and Python.
  • Experience with Kafka, Flink, Spark and SQL; REST/JSON/gRPC/WebSocket tech.

Responsibilities

  • Design and implement middleware and backend systems for high throughput and load.
  • Develop and maintain stream processing with Flink and scalable ETL jobs.
  • Optimize data pipeline performance, reliability and monitoring.
  • Support migration of on-prem Kafka to new cloud technologies.
  • Analyze requirements and contribute to archival and BI integration.
  • Collaborate with BI and product teams to turn data into insights.
  • Work with remote teams across time zones and channels.

Skills

JVM languages
Kotlin
Scala
Java
Python
Apache Kafka
Flink
Spark
SQL
REST
JSON
gRPC
WebSockets
TDD
Git/CI/CD
AWS (OpenSearch/MSK/EKS)
Kubernetes
Docker

Education

Bachelor’s or Master’s in Computer Science or related field

Tools

Kubernetes
Docker
OpenSearch
MSK
EKS

Job description

Sony Interactive Entertainment is seeking a Data Engineer II in Aliso Viejo, CA to shape data platforms for PlayStation Cloud Streaming. You’ll build JVM-based data tools, stream processing with Flink, and APIs delivering real-time insights across a distributed infra.

Collaborate with BI to translate requirements into actionable analytics, while improving reliability and scalability of the data pipeline across time zones and teams.

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