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Netflix

Data Engineer (L5) - Research Data Products

Posted 2 Days Ago
Remote
Hiring Remotely in USA
380K-610K Annually
Mid level
Remote
Hiring Remotely in USA
380K-610K Annually
Mid level
The Data Engineer will develop and maintain complex data models, build scalable data pipelines, and collaborate with various teams to enhance consumer research data products at Netflix.
The summary above was generated by AI

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 team

Our Research Data Products team is at the forefront of insights innovation. Our team leverages technical expertise in data science, engineering, and solutions development to support a high-impact team of 90+ quantitative and qualitative researchers across the globe. We enable cutting-edge research through frameworks, data products and technologies designed to help answer Netflix’s most complex business challenges through consumer-driven analytics.

About the Role

As a Data Engineer, you will develop and maintain complex data models for Netflix Surveys and our Research Platform that enable this data to be accessed and further processed by teams to feed data products and ensure reliable insights about our consumers are widely available across the company.  You’ll help pave the paths for these data products in partnership with an interdisciplinary team of engineers, data scientists, and researchers.

What You Will Do:

In this role, you will be an essential bridge between engineering, product, and data science, building robust, data-driven solutions.

  • Architect, strengthen, and expand the core data products that enable Consumer Research at Netflix.  

  • Develop and maintain scalable data pipelines to manage and transform large amounts of survey, social, and behavioral data that make consumer insights widely available across the company

  • Fully own critical portions of Netflix's Research data products. Collaborate with stakeholders to understand needs, model tables using engineering and data warehouse best practices, and develop large scale data processing solutions to ensure the timely delivery of high quality data.

  • Partner with Analytics Engineers, Data Scientists, and Software Engineers to create data products that will serve analysis and reporting needs intuitively.

  • Develop best practices for governance of data sets with sensitive information

  • Build strong and collaborative partnerships with data scientists, analytics engineers, and researchers. 

What we are looking for:

We are looking for a skilled, independent, and curious Data Engineer who champions data quality.

  • Proficiency in at least one major programming language (e.g., Python, Scala), with a passion for writing clean, maintainable, and well-tested code. Python is strongly preferred.

  • Strong SQL expertise.

  • Expertise in data modeling and designing data structures that are adaptable and resilient to business or source system changes.

  • Can design logging for new products with complex behavior or new domains balancing complex analytical needs with simplified logging effectively weighing tradeoffs.

  • Experience with sourcing and modeling data from application APIs

  • A strong commitment to data quality, including experience with data audits, unit testing, and comprehensive documentation.

  • Excellent communication skills to effectively collaborate with technical and non-technical partners (Data Scientists, Engineers, and Product Managers).

  • Curiosity and an eagerness to learn and master new technologies that can have a significant impact.

  • Proven success leading complex technical projects to completion.

  • Ability to operate independently while embracing the Netflix Culture of candid feedback and high collaboration.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $380,000.00 - $610,000.00. This compensation range will vary based on location.

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.

Job is open for no less than 7 days and will be removed when the position is filled.

Top Skills

Python
Scala
SQL
HQ

Netflix Los Gatos, California, USA Office

100 Winchester Circle, Los Gatos, CA, United States

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