About the Role:

With such a large catalog of content, data and machine learning are fundamental to Tubi's success, and Tubi's Data Platform is the cornerstone of all data and ML use. At Tubi, you will join a stellar team of engineers with a passion for solving the most challenging problems using cutting-edge technology. This is a hard-core software engineering role with a data focus. In this role, you will be expected to be a hands-on engineer as you and your team builds out real-time systems to handle data at massive scale. You will enable machine learning engineers to iterate and experiment faster than ever before. You will help data scientists take ideas to production in days or weeks, not months or years. And you will build tools to enable data analysis and modeling for even the least tech-savvy colleagues. In short, you will enable Tubi to be truly data-driven.

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

Your Background:

• 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).

Pursuant to state and local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is listed annually below. This role is also eligible for an annual discretionary bonus, long-term incentive plan, and various benefits including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents.

California, New York City, Westchester County, NY, and Seattle, WA Compensation

Base ($164,000 to $234,000/year) + Bonus + Long-Term Incentive Plan + Benefits

Colorado and Washington (excluding Seattle, WA) Compensation

Base ($147,000 to $210,000/year) + Bonus + Long-Term Incentive Plan + Benefits

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