Data Engineer - Marketing and Fandom

One of the world's leading entertainment services with 283 million paid memberships in over 190 countries.
Data
In-Person
8+ years of experience
Entertainment · Consumer

Description For Data Engineer - Marketing and Fandom

Netflix, a global entertainment powerhouse with 283 million paid memberships, is seeking a Data Engineer to join their Marketing and Fandom team. This role sits at the intersection of Netflix's massive cultural impact and data-driven decision making. The position offers an opportunity to work on diverse data challenges, from handling small-scale Netflix House sales data to managing enormous social media feeds generating over 100B impressions annually.

The ideal candidate will be immersed in Netflix's unique culture while working with cutting-edge technology stack including Spark, Flink, Hive/Iceberg, and Kafka. You'll be responsible for building and maintaining critical data pipelines that power Netflix's marketing and fandom initiatives, from social media analytics to real-world experiences like Netflix House and Bridgerton events.

This role offers exceptional impact potential as Netflix expands its fandom initiatives globally. You'll work directly with stakeholders across marketing, data science, and product teams, translating business needs into data solutions. The position requires both technical expertise and business acumen, as you'll be instrumental in enabling data-driven decisions that shape Netflix's marketing strategy and fan engagement.

Working at Netflix means joining a company that values inclusion, diversity, and a unique culture of freedom and responsibility. You'll be part of a team that embraces innovation, candid feedback, and continuous learning. The role offers the opportunity to work on fascinating analytical challenges while contributing to the company's global entertainment influence.

Last updated 13 days ago

Responsibilities For Data Engineer - Marketing and Fandom

  • Own critical pipelines and data sets to support Netflix marketing and fandom efforts
  • Collaborate with stakeholders to understand needs and model tables
  • Develop data pipelines ensuring timely delivery of high quality data
  • Translate business questions into data requirements
  • Build partnerships with data scientists, analytics engineers, and machine learning practitioners
  • Enable insights for better business decisions

Requirements For Data Engineer - Marketing and Fandom

Python
Kafka
  • 8+ years of experience building data pipelines in both batch and real-time settings
  • Proficiency in Python for scripting, automation, and data orchestration frameworks
  • Complex SQL writing capabilities
  • Experience with data modeling and organization for scale and fast retrieval
  • Experience sourcing and modeling data from application APIs
  • Experience with common data warehouse solutions
  • Strong communication skills
  • Ability to work independently and collaborate effectively

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