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Software Engineer 5, Member Science Engineering

Netflix

$170,000 - $720,000
Aug 27, 2025
Remote, US
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Netflix is looking to improve how subscribers experience streaming and new business domains like gaming and live content by using data. The Member Data Products team aims to connect core data systems with business needs by building custom apps and improving user-facing capabilities of internal tools, leveraging GenAI for advancements.

Requirements

  • Highly proficient in Python; competent in SQL
  • Experience working on tooling and systems that support experimentation at scale
  • Experience with large-scale data processing frameworks (eg Spark, Trino, Druid, etc)
  • Experience building workflows that include GenAI
  • Experience working with unstructured and structured data, including storage and retrieval from graphs, lakes, etc.
  • Familiarity with semantic data modeling and ontology design for complex entities, focusing on representing diverse relationships and enabling flexible data access and querying.

Responsibilities

  • In this role, you’ll be at the forefront of combining software engineering with GenAI tooling to deliver capabilities that automate and streamline science and experimentation for Member partners in DSE, Product, and Engineering.
  • Partner with data engineers to design datasets that support science and experimentation innovation
  • Interest in experimenting with emerging GenAI technologies to develop internal tools
  • Experience with large-scale data processing frameworks (eg Spark, Trino, Druid, etc)
  • Experience building workflows that include GenAI
  • Experience working with unstructured and structured data, including storage and retrieval from graphs, lakes, etc.
  • Familiarity with semantic data modeling and ontology design for complex entities, focusing on representing diverse relationships and enabling flexible data access and querying.

Other

  • Ability to solve problems that span multiple interconnected systems
  • Background and/or education related to data science, research science, statistics, or causal inference; have an understanding of how organizations make metrics-driven optimizations/decisions
  • Ability to partner with multiple cross-functional teams as stakeholders/customers
  • Great verbal and written communication skills