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Crunchyroll, LLC

Data Engineer III

Los Angeles, California, United States; San Francisco, CA, United StatesFrom $185kmidAdded 1 month ago

About this role

Crunchyroll seeks a Data Engineer III to design and optimize scalable data services and pipelines that support millions of anime fans globally. You'll lead automation initiatives, build event-driven architectures, and collaborate with cross-functional teams to establish best practices and drive continuous improvement across the organization.

What you'll do

  • Design, build, and maintain scalable data services and pipelines using TypeScript and Python with modern backend frameworks
  • Develop event-driven architectures using AWS services such as SNS/SQS, EventBridge, Kinesis, and Kafka
  • Architect and optimize database schemas across relational, NoSQL, and graph databases
  • Identify and resolve performance bottlenecks in both frontend and backend systems
  • Implement automation for build, deployment, and monitoring processes
  • Develop comprehensive test suites and maintain security best practices

What they're looking for

  • TypeScript and Node.js
  • Python
  • AWS cloud architecture and services
  • Event-driven systems and messaging (Kafka, SNS/SQS, EventBridge)
  • Database design (PostgreSQL, MySQL, DynamoDB, Neo4j)
  • Docker and Kubernetes containerization
  • CI/CD pipelines
  • Microservices and API development

Benefits

  • Competitive compensation package with performance bonus potential
  • Flexible time off policies
  • Opportunity to work on anime content serving 100+ million fans globally
  • Collaborative, fast-paced environment with passionate colleagues
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Crunchyroll, LLC

Crunchyroll operates an anime streaming platform serving millions of fans globally. The company is hiring iOS/Apple TV engineers, frontend engineers for monetization and subscription experiences, and senior data engineers to build scalable infrastructure and optimize platform services.

View all jobs at Crunchyroll, LLC

Likely interview questions

  • Can you walk us through your experience designing and implementing event-driven architectures? Which messaging systems have you used (Kafka, SNS/SQS, EventBridge, Kinesis) and what trade-offs did you consider?
  • Tell us about a time you optimized a data pipeline or service for performance. What bottlenecks did you identify and how did you resolve them?