Data Engineer (L5) - Customer Service - Big Data, Cloud Computing & Analytics at Netflix
Unlock Your Potential as a Data Engineer (L5) - Customer Service at Netflix
Join the world's leading entertainment service provider as a Data Engineer (L5) - Customer Service and revolutionize the future of entertainment! This role is 100% remote, giving you full control over your work environment. As a Data Engineer at Netflix, you will have the opportunity to work on cutting-edge projects, collaborate with talented professionals, and drive business growth through data-driven insights.
About Netflix
Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films, and games across a wide variety of genres and languages. Members can play, pause, and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.
Netflix is revolutionizing entertainment and shaping the evolution of storytelling around the world with over 270 million members in 190 countries. We are focused on delivering an incredible customer experience, and when a Netflix member has a problem using Netflix, we want to quickly and thoroughly resolve their issue and get them back to streaming.
Customer Service at Netflix
Customer Service is one of the few areas where we hear directly from our members, and we engage with millions of them via phone and chat in 25 different languages. Within Data Science and Engineering (DSE), we use data to rigorously measure, optimize, and personalize our Customer Service investments to enable a delightful, efficient experience and to improve our product based on what our members tell us.
Job Summary
As a Data Engineer (L5) - Customer Service, you will collaborate with data engineers, software engineers, and CS business owners to build reliable, scalable data pipelines, transform raw data into core business metrics, and work with custom visualization tools that surface CS insights. The team is small, so the role requires a high degree of autonomy, strong technical judgment, and the ability to span across the data stack, from pipeline development to business metrics and tools.
Key Responsibilities
- Design, build, and maintain large-scale data pipelines using big data technologies (Hive, Presto, Spark, Flink) to process and analyze customer service data.
- Develop and implement data models to support business metrics and analytics, ensuring data quality and integrity.
- Collaborate with cross-functional teams to identify business problems and develop data-driven solutions.
- Work with custom visualization tools to surface CS insights and drive business decisions.
- Ensure data pipelines are scalable, efficient, and reliable, with a focus on high-quality data.
- Develop and maintain technical documentation for data pipelines and tools.
- Participate in code reviews and ensure adherence to best practices.
Requirements
Essential Qualifications
- At least 4 years of experience engineering data pipelines using big data technologies (Hive, Presto, Spark, Flink) on medium to large-scale data sets (10s of millions of records).
- Strong data modeling skills, with experience designing structures that are adaptable to changes in the source data or business processes.
- Strong proficiency in Python or Scala, with a passion for writing clean, supportable code.
- Advanced SQL skills, with a focus on data quality and advocacy.
- Analytical aptitude to think through business problems (e.g., metrics development) and prioritize autonomously.
- Strong communication and productive partnership with analysts, engineers, and business leaders.
Preferred Qualifications
- Experience with cloud-based data platforms (e.g., AWS, GCP, Azure).
- Familiarity with data warehousing and ETL processes.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Knowledge of machine learning concepts and algorithms.
Skills and Competencies
- Strong technical skills in big data technologies, data modeling, and data analysis.
- Excellent problem-solving skills, with the ability to think critically and creatively.
- Strong communication and collaboration skills, with experience working with cross-functional teams.
- Autonomy and self-motivation, with the ability to prioritize tasks and manage multiple projects.
- Adaptability and flexibility, with a willingness to learn and grow.
Career Growth Opportunities and Learning Benefits
At Netflix, we are committed to helping our employees grow and develop their skills. As a Data Engineer (L5) - Customer Service, you will have access to:
- Comprehensive training and development programs.
- Opportunities for career advancement and growth.
- Collaborative and dynamic work environment.
- Flexible work arrangements, including remote work options.
Work Environment and Company Culture
Netflix is a unique and dynamic company culture that values:
- Diversity, equity, and inclusion.
- Innovation and creativity.
- Collaboration and teamwork.
- Autonomy and self-motivation.
- Continuous learning and growth.
Compensation, Perks, and Benefits
We offer a competitive salary package, commensurate with experience, ranging from $170,000 to $720,000. Additionally, you will have access to:
- Comprehensive benefits, including health plans, mental health support, and a 401(k) retirement plan with employer match.
- Stock option program.
- Disability programs and health savings accounts.
- Family-forming benefits and life and serious injury benefits.
- Paid leave of absence programs.
Conclusion
If you are a motivated and talented Data Engineer looking for a new challenge, we encourage you to apply for this exciting opportunity at Netflix. As a Data Engineer (L5) - Customer Service, you will have the chance to work on cutting-edge projects, collaborate with talented professionals, and drive business growth through data-driven insights.
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