Data Engineer II — Real-Time Cloud Data Pipelines

PlayStation; San Mateo (CA); On-site; USD 164,000 - 246,000; Full time

Job summary

Sony Interactive Entertainment in San Mateo, CA is hiring a Data Engineer II to build and scale our real-time data platform for the Cloud Streaming ecosystem. You will design JVM-based services in Kotlin/Scala/Java, develop Flink jobs, and expose APIs that deliver live insights to product and BI teams across a distributed data pipeline.

The role emphasizes collaboration across time zones, performance tuning, and operational reliability.

Qualifications

• BS or MS in CS or related field or equivalent practical experience.
• 3+ years of backend software development with high throughput and concurrent systems.
• Proficient in JVM languages (Kotlin/Scala/Java) and Python.
• Experience with Kafka, Flink, Spark, and SQL.
• Knowledge of REST, JSON, gRPC, WebSockets.
• Familiar with Git and CI/CD processes.
• Strong problem-solving and debugging skills.
• Ability to work with distributed teams in multiple time zones.

Responsibilities

• Design and implement middleware/backend for high throughput systems.
• Develop stream processing jobs with Flink and ETL pipelines.
• Collaborate with BI and product teams to translate requirements into data products.
• Optimize performance and reliability of the data pipeline.
• Support migration from on-prem Kafka to cloud technologies.

Skills

Strong interpersonal & communication

Self-motivated

Team collaboration across time zones

Education

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

Tools

Git

CI/CD

Kubernetes

Docker

OpenSearch

MSK

EKS

Kafka

Flink

Spark

SQL

REST/JSON/gRPC/WebSockets

Job description

Sony Interactive Entertainment in San Mateo, CA is hiring a Data Engineer II to build and scale our real-time data platform for the Cloud Streaming ecosystem. You will design JVM-based services in Kotlin/Scala/Java, develop Flink jobs, and expose APIs that deliver live insights to product and BI teams across a distributed data pipeline.

The role emphasizes collaboration across time zones, performance tuning, and operational reliability.