Data Engineer, Research Data Products
Job Description:
• Develop and maintain complex data models for Netflix Surveys and our Research Platform
• Create data-driven solutions as a bridge between engineering, product, and data science
• 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
• 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
• Develop large scale data processing solutions to ensure timely delivery of high-quality data
• Partner with Analytics Engineers, Data Scientists, and Software Engineers to create data products for analysis and reporting
• Develop best practices for governance of data sets with sensitive information
• Build strong and collaborative partnerships with data scientists, analytics engineers, and researchers.
Requirements:
• Proficiency in at least one major programming language (e.g., Python, Scala)
• 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
• 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.
Benefits:
• 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
• 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.
Apply Now
Apply Now
• Develop and maintain complex data models for Netflix Surveys and our Research Platform
• Create data-driven solutions as a bridge between engineering, product, and data science
• 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
• 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
• Develop large scale data processing solutions to ensure timely delivery of high-quality data
• Partner with Analytics Engineers, Data Scientists, and Software Engineers to create data products for analysis and reporting
• Develop best practices for governance of data sets with sensitive information
• Build strong and collaborative partnerships with data scientists, analytics engineers, and researchers.
Requirements:
• Proficiency in at least one major programming language (e.g., Python, Scala)
• 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
• 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.
Benefits:
• 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
• 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.
Apply Now
Apply Now