Senior Data Engineer, Streaming

Summary

Join Tubi's stellar engineering team and build real-time data systems at massive scale. As a hands-on engineer, you will handle large-scale raw data, build low-latency data infrastructure, and enhance the analytics pipeline. You'll develop tools for data consumption, extraction, transformation, and quality improvement. This role requires expertise in Spark, Kafka, and AWS technologies. You'll enable machine learning engineers and data scientists to work more efficiently, making Tubi truly data-driven.

Requirements

• 5+ years of experience building scalable batch and streaming data pipelines (Spark or Flink)
• Experience using Spark cluster-computing framework & Kubernetes (or similar containerization technologies)
• Strong experience developing Big Data applications using Java/Scala, Spark, and Kafka
• Strong knowledge of Streaming, distributed databases, and cloud storage (e.g., AWS - S3)

Responsibilities

• Handle the collection and processing of large scale raw data
• Build low latency and low maintenance data infrastructure that powers the whole company
• Develop and enhance our analytics pipeline by creating new tools and solutions to facilitate intuitive data consumption for stakeholders
• Construct and improve infrastructure for data extraction, transformation, loading and cleaning from diverse sources using API’s, SQL and AWS technologies
• Improve data quality by building tools, processes and pipelines to enforce, check and manage data quality at a large scale
• Ensure our data platform is available, secure, and reliable

Benefits

• Annual discretionary bonus
• Long-term incentive plan
• Medical/dental/vision, insurance
• 401(k) plan
• Paid time off
• Flexible Time off Policy to manage all personal matters
• Generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave within the first year of the birth, adoption, surrogacy, or foster placement of a child
• Monthly wellness reimbursement