Big Data Engineer (Scala)

Box (NYSE:BOX) is the leader in Intelligent Content Management. Founded in 2005 and headquartered in Redwood City, CA, Box enables organizations to manage content lifecycle, secure critical content, and transform business workflows with enterprise AI. The company serves global organizations including JLL, Morgan Stanley, and Nationwide and operates offices across the US, Europe, and Asia.

• Familiarity with Scala, Java, MySQL, Pub/Sub, BigQuery.
• Bachelor’s degree or equivalent in Computer Science, Mathematics, or a related field.
• 3+ years of professional software development experience.
• Strong understanding of common algorithms, data structures, and code design principles.
• Strong grasp of high-scale distributed systems.
• Passionate about database scale and performance challenges.
• Strong sense of ownership, persistence, drive, and strong communication skills.

Nice to have:

• Experience with GCP.
• Experience with AWS.
• Experience with Kafka.
• Experience with Kubernetes.

• Own and evolve asynchronous data services that support data synchronization across Box’s systems and data stores.
• Take ownership of existing services and help improve their reliability, scalability, observability, and overall architecture.
• Design and implement new services and improvements to support growing data volumes and evolving platform requirements.
• Help ensure data remains consistent and reliable across different data stores and downstream systems.
• Identify opportunities to simplify and consolidate existing services and improve the overall data platform.
• Collaborate with engineers and teams across Core Data and Box to understand data requirements, dependencies, and technical challenges.
• Participate in the operation and continuous improvement of production services, including troubleshooting and addressing reliability or performance issues.
• Contribute to the technical direction of the Data Foundations platform as the new team and its ownership evolve.
• Participate in on-call rotation to respond to and triage any issues that arise while on-call.