Software Engineer II, Data Platform

Responsibilities

• Contribute to the development, testing, and deployment of high-quality code across the data platform
• Collaborate actively with global teams across multiple time zones, ensuring alignment and continuity
• Support platform capabilities for data cataloging, analytics, and ETL/ELT pipelines
• Aid in identifying performance bottlenecks and implementing improvements with guidance from senior engineers
• Build and support services that handle structured, semi-structured, and unstructured data (audio, video, text, images)
• Participate in on-call rotation for production support and help troubleshoot critical issues
• Contribute to platform documentation and maintain clarity for internal consumers
• Present work in team demos and represent engineering contributions in internal discussions
• Follow best practices in testing, monitoring, and deployment to ensure platform reliability
• Continuously learn and apply new tools, patterns, and technologies in the data platform space

Requirements

• Bachelor's degree in Computer Science
• 3+ years of direct experience developing scalable, distributed systems
• Proficient in at least one language: Scala, Java, or Python
• Experience building or maintaining cloud-based applications/services (AWS preferred, GCP is a plus)
• Exposure to event streaming platforms such as Kafka, Kinesis, or SQS and Data Ingestion
• Familiarity with distributed data processing frameworks like Apache Spark or Apache Flink
• Understanding of CI/CD pipelines, monitoring, and observability best practices
• Comfortable working in a globally distributed team
• Willingness to participate in production on-call rotations

Nice to Have

• Exposure to Databricks or similar unified data platforms
• Experience working with unstructured data formats such as images, video, or audio
• Familiarity with data cataloging, lineage, and metadata tools
• Experience supporting platform-scale features such as ETL frameworks, analytics services, or data quality checks
• Knowledge of GCP or multi-cloud environments
• Curiosity and enthusiasm for tackling scalability and reliability challenges