Data Engineer (L5) - Conversation

Netflix is the world's leading streaming entertainment service with 283 million paid memberships in over 190 countries.
$170,000 - $720,000
Data
Staff Software Engineer
Remote
5,000+ Employees
8+ years of experience
Entertainment · Consumer

Description For Data Engineer (L5) - Conversation

Netflix, the world's leading streaming entertainment service with 283 million paid memberships across 190+ countries, is seeking a Data Engineer to support their marketing and fandom activities. This role sits at the intersection of Netflix's massive cultural impact and data-driven decision making.

The position involves building and maintaining critical data pipelines that support Netflix's extensive marketing efforts, which generate over 100B social media impressions annually. You'll work with both small-scale data (like Netflix House sales) and enormous datasets (such as social media feeds), using technologies like Spark, Flink, Hive/Iceberg, and Kafka.

As a Data Engineer, you'll collaborate directly with stakeholders to understand needs, model data warehouse tables, and ensure timely delivery of high-quality data. The role requires creative problem-solving to translate business questions into data requirements and build strong partnerships with data scientists and analytics engineers.

Netflix offers a unique culture emphasizing independent decision-making, candid feedback, and continuous growth. The company provides comprehensive benefits including health plans, mental health support, a 401(k) with employer match, stock options, and flexible time off for salaried employees.

This is an opportunity to impact how Netflix understands and grows its cultural influence, from social media engagement to real-world experiences like Netflix House and Bridgerton events. You'll be part of a team that's just beginning to tap into the potential of data to drive marketing and fandom initiatives.

Last updated a day ago

Responsibilities For Data Engineer (L5) - Conversation

  • Own critical pipelines and data sets for Netflix marketing and fandom initiatives
  • Collaborate with stakeholders to understand needs and model tables
  • Develop data pipelines ensuring timely delivery of high-quality data
  • Translate business questions into clear data requirements
  • Build partnerships with data scientists and analytics engineers
  • Enable insights for better business decision-making

Requirements For Data Engineer (L5) - Conversation

Python
Kafka
  • 8+ years of experience building data pipelines in batch and real-time settings
  • Proficiency in Python for scripting, automation, and data orchestration
  • Strong SQL skills for complex queries and workflows
  • Experience with data modeling and efficient organization for scale
  • Experience working with application APIs
  • Experience with common data warehouse solutions (Snowflake, Redshift, BigQuery, etc.)
  • Strong communication skills
  • Ability to work independently and collaborate across functions

Benefits For Data Engineer (L5) - Conversation

Medical Insurance
Mental Health Assistance
401k
Vision Insurance
Dental Insurance
Parental Leave
  • Health Plans
  • Mental Health support
  • 401(k) Retirement Plan with employer match
  • Stock Option Program
  • Disability Programs
  • Health Savings and Flexible Spending Accounts
  • Family-forming benefits
  • Life and Serious Injury Benefits
  • Paid leave of absence programs
  • 35 days annual PTO for hourly employees
  • Flexible time off for salaried employees

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