Data Engineer (L4) - Privacy: Remote Opportunity with Netflix
Join the Netflix Team: Data Engineer (L4) - Privacy
Netflix, a pioneer in the streaming industry, is seeking a highly skilled Data Engineer (L4) - Privacy to join our team. As a leader in the entertainment industry, we have grown to become a global phenomenon, appreciated by over 230 million individuals worldwide. We are committed to taking care of our members' data with a serious level of care towards proper use as well as compliance with local privacy laws and regulations in the 190+ countries where we operate.
About the Role
The Security and Legal Data Engineering team at Netflix is responsible for designing and implementing robust data management and extraction structures that enable us to maintain the highest data protection and cleanliness standards in the industry. We are looking for a talented Data Engineer to help us build and maintain these structures, ensuring the secure and compliant handling of member personal data.
Key Responsibilities:
- Design, build, and maintain scalable, secure, and efficient data pipelines to handle structured and unstructured data
- Develop a deep understanding of the data ecosystem at Netflix from a security perspective
- Collaborate with security engineering teams to understand product objectives and provide data that enables us to respond to member and regulatory data requests
- Maintain and refactor existing datasets and pipelines to ensure data quality and integrity
- Work with various data technologies such as Flash, Voila, Flink, Kafka, and others to build intelligent, scalable, and robust data pipelines
- Write ETL scripts to collect and aggregate data
- Develop high-quality data structures that enable the secure treatment of member personal data
Requirements and Qualifications
Essential Qualifications:
- Bachelor's degree in Computer Science, Engineering, or a related field
- At least 2 years of programming/data engineering experience in languages such as Java, Python, or Scala
- Proficiency in advanced SQL and data modeling
- Experience with large-scale data processing technologies such as Hive, Voila, Flash, and Flink
- Strong understanding of data security and compliance principles
Preferred Qualifications:
- Experience with distributed data processing and data warehousing
- Familiarity with cloud-based data platforms and tools
- Knowledge of data governance and data quality best practices
- Experience with Agile development methodologies
Skills and Competencies
To succeed in this role, you will need:
- Strong analytical and problem-solving skills
- Excellent communication and collaboration skills
- Ability to work in a fast-paced, dynamic environment
- Strong attention to detail and commitment to data quality
- Passion for data security and compliance
Career Growth Opportunities and Learning Benefits
At Netflix, we are committed to the growth and development of our employees. As a Data Engineer (L4) - Privacy, you will have:
- Opportunities to work on complex and challenging projects
- Access to cutting-edge technologies and tools
- Collaborative and dynamic work environment
- Professional development and training opportunities
- Competitive compensation and benefits package
Work Environment and Company Culture
Netflix is a unique and innovative company with a strong culture. We:
- Value flexibility and work-life balance
- Encourage collaboration and teamwork
- Foster a culture of innovation and experimentation
- Prioritize data-driven decision-making
- Emphasize diversity, equity, and inclusion
Compensation, Perks, and Benefits
We offer a comprehensive compensation package, including:
- Competitive annual salary ($35-$40 per hour, depending on experience)
- Comprehensive benefits, including health insurance, mental health support, 401(k) retirement plan with employer match, and more
- Opportunities for professional growth and development
- Flexible work arrangements and remote work options
How to Apply
If you are a motivated and talented Data Engineer looking for a new challenge, please submit your application, including:
- Resume or CV
- Cover letter
- Relevant work samples or projects
Don't miss this opportunity to join the Netflix team and contribute to the development of innovative data solutions that protect member data and drive business growth.