Manager, Data Engineering – Member Data Products
Job Description:
• Lead the Member Foundations Data Engineering team
• Build the core datasets that represent how members interact with Netflix product
• Influence and guide projects from end-to-end: ideation to production
• Ensure data products are built with engineering rigor and strong data quality guarantees
• Invest in tooling and best practices for achieving goals
Requirements:
• 8+ years of experience in data engineering
• Strong programming background (at least 1 major language)
• SQL experience
• 6+ years of engineering leadership experience
• Experience in a technical role with large-scale consumer-facing digital companies
• Experience with client logging solutions
• MS in Computer Science/Engineering, or related field
• Strong experience with distributed data processing technologies (i.e. Spark/Hadoop, etc.) and extensive experience working with data at scale.
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
• Lead the Member Foundations Data Engineering team
• Build the core datasets that represent how members interact with Netflix product
• Influence and guide projects from end-to-end: ideation to production
• Ensure data products are built with engineering rigor and strong data quality guarantees
• Invest in tooling and best practices for achieving goals
Requirements:
• 8+ years of experience in data engineering
• Strong programming background (at least 1 major language)
• SQL experience
• 6+ years of engineering leadership experience
• Experience in a technical role with large-scale consumer-facing digital companies
• Experience with client logging solutions
• MS in Computer Science/Engineering, or related field
• Strong experience with distributed data processing technologies (i.e. Spark/Hadoop, etc.) and extensive experience working with data at scale.
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