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Data Engineer (L4) - Revenue Growth
Los Gatos,California,United States of America
·
On-site
·
Full-time
·
3mo ago
Benefits & Perks
•Healthcare
•Mental Health
•401(k)
•Equity
•Flexible Hours
•Parental Leave
•Healthcare
•Mental Health
•401k
•Equity
•Flexible Hours
•Parental Leave
Required Skills
Apache Spark
Presto
SQL
ETL
Data Modeling
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.
About the role:
The Membership & Finance Data Engineering team is at the heart of Netflix's financial and member data ecosystem. We build foundational datasets and data products that power critical business operations, financial reporting, and strategic analytics. As Netflix expands its business with new initiatives like Ads, Live events, and Bundles, the need for robust, scalable, and insightful revenue data has never been greater.
The Revenue Growth Data Engineering team is part of the Membership and Finance Data Engineering team. It is the engine that powers insights into Netflix's financial growth. It optimizes all data related to incoming revenue streams, including subject areas such as billing, invoicing, revenue, tax, and member engagement and retention. This team’s work is foundational for financial assurance, forecasting, experimentation, and strategic decision-making, which directly impact Netflix's growth trajectory.
We are seeking a Data Engineer to join our Revenue Growth Data Engineering team at Netflix. In this role, you will design, build, and maintain scalable and reliable data pipelines and data products that power insights into revenue growth and member retention analysis, while contributing to foundational datasets and metrics critical to Netflix’s financial and business reporting.
Your work will directly influence how financial and growth data is produced, trusted, and consumed by teams across Finance, Product, and Analytics. You will help ensure that our data is accurate, performant, intuitive, and easy to use, enabling better decisions and deeper insights into Netflix's growth drivers.
Location: Los Gatos, CA preferred, but open to Remote
What You’ll Do
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Design, build, and maintain scalable and resilient data pipelines using Spark, Presto, and SQL, with a focus on revenue and member retention data.
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Develop high-quality ETL workflows to ingest, transform, and aggregate data from multiple upstream sources.
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Partner closely with data analysts, finance partners, and product teams to understand business needs and deliver reliable, well-modeled data products.
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Design and evolve data models that accurately represent financial entities, member behavior, and key growth metrics.
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Champion data quality and trust by implementing checks, validations, and monitoring to ensure accuracy and consistency in financial data.
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Monitor, troubleshoot, and optimize data workflows to improve performance, reliability, and maintainability.
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Contribute to improving our data engineering best practices, tooling, and documentation as the platform evolves.
Who We’re Looking For
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3–4 years of experience building and maintaining data pipelines in a production environment.
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Hands-on experience with distributed data processing technologies such as Spark and query engines like Presto.
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You strive to write elegant code, and you're comfortable with picking up new technologies
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Strong proficiency in at least one major programming language (e.g. Java, Scala, Python) and comfortable working with advanced SQL.
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Solid understanding of ETL design, data modeling, and data architecture fundamentals.
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Strong data intuition where you naturally question data, understand edge cases, and care about usability and correctness.
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A passion for data trustworthiness and building systems that produce accurate, consistent, and transparent financial data.
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Ability to collaborate effectively with cross-functional partners and communicate technical concepts clearly.
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A mindset of ownership, curiosity, and continuous learning.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
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About Netflix

Netflix
PublicAn online streaming platform that enables users to watch TV shows and movies.
10,001+
Employees
Los Gatos
Headquarters
$280B
Valuation
Reviews
4.2
15 reviews
Work Life Balance
4.2
Compensation
4.5
Culture
3.2
Career
3.8
Management
3.0
65%
Recommend to a Friend
Pros
Very high compensation packages (430k-700k)
Fully remote work opportunities
All cash compensation structure
Cons
Lower compensation than expected in some cases
Difficult interview process
Simple/uninteresting technical problems
Salary Ranges
1,869 data points
Mid/L4
Mid/L4 · Analytics Engineer
7 reports
$274,996
total / year
Base
$211,536
Stock
-
Bonus
-
$274,996
$358,605
Interview Experience
4 interviews
Difficulty
4.0
/ 5
Offer Rate
25%
Experience
Positive 25%
Neutral 25%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
System Design Interview
5
Behavioral Interview
6
Team Matching
7
Final Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Culture Fit
News & Buzz
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