Analytics Engineer 5, Ads Identity and Signals at Netflix | United States (Remote)
Company/Recruiter: Netflix
Opportunity snapshot
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Opportunity type
Job
Location
United States of America
Work arrangement
Remote
Compensation
$330,000/year
Closing date
Feb 28, 2027
Employer
Netflix
Prepare your application
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MorrJobs preparation notes
Role shape: Responsibility-led role with a detailed skills profile.
Evidence to prepare: Connect your CV or portfolio to Bachelor's or Master's degree in Computer Science, Engineering, or a related field.; Proven experience as an Analytics Engineer or in a similar data-focused role.. Use one concrete example that shows you can Develop and optimize complex ETL/ELT processes for advertising data..
Check before applying: Confirm that United States of America and the stated work arrangement suit you, check the closing date of Feb 28, 2027.
- Apply before Feb 28, 2027.
- The application route is available to verified Talent accounts.
Job Overview
As an Analytics Engineer 5, you will be instrumental in designing, developing, and maintaining scalable data pipelines and models that support Netflix's advertising initiatives. You will collaborate with cross-functional teams to transform raw data into actionable insights, ensuring data accuracy, reliability, and accessibility.Key Responsibilities
- Develop and optimize complex ETL/ELT processes for advertising data.
- Build and maintain robust data models to support analytics and reporting needs.
- Collaborate with data scientists and product managers to understand data requirements.
- Ensure data quality, integrity, and governance across all analytics platforms.
- Automate data processes and implement monitoring solutions.
- Contribute to the evolution of our data architecture and best practices.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Proven experience as an Analytics Engineer or in a similar data-focused role.
- Proficiency in SQL and experience with large-scale data warehousing.
- Strong understanding of data modeling principles and techniques.
- Experience with cloud data platforms (e.g., AWS, GCP, Azure) and associated tools.
- Familiarity with programming languages like Python for data manipulation.
What We Offer
- The opportunity to work on cutting-edge technology and impactful projects.
- A collaborative and inclusive work environment.
- Competitive compensation and benefits.
- The chance to shape the future of advertising at a leading entertainment company.
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