Experienced Data Engineer – Remote Opportunity for Building Scalable Data Systems and Driving Business Insights at a Leading Entertainment Company

Introduction to Netflix and Our Mission

At Netflix, our mission is to entertain the world. With over 200 million paid members in more than 190 countries enjoying TV series, documentaries, and feature films across a wide variety of genres and languages, we are revolutionizing entertainment from end to end. We are disrupting how shows and movies are produced, pushing technological boundaries to efficiently deliver streaming video at a massive scale over the internet, and continually improving the end-to-end customer experience with Netflix across their member journey.

We value using data to inform our decision-making as we pursue our mission. This requires organizing data across various domains like Development, Finance, Product, Marketing, and Studio. This data collection and curation are made possible thanks to the incredible Data Engineers at Netflix who bring this data to life.

About Data Engineering at Netflix

Data Engineering at Netflix is a role that requires building systems to process data efficiently and presenting the data to drive analysis. These solutions can range from building data pipelines that bring business metrics to life to real-time processing services that integrate with our core product features. Additionally, we require our Data Engineers to have a deep understanding of large distributed systems on which our data solutions are built. Candidates should have expertise across several of these skill areas and generally should be very deep in at least one.

As a Data Engineer, you will also need to have strong communication skills since you will be working closely with business, engineering, and data science teams to enable a culture of learning. Learn more about the work of data engineers at Netflix and how they contribute to our mission.

Key Responsibilities

• Design, build, and maintain large-scale data systems that are scalable, reliable, and efficient
• Develop data pipelines that bring business metrics to life and drive analysis
• Work closely with cross-functional teams, including business, engineering, and data science, to enable a culture of learning and drive business insights
• Collaborate with data scientists and analysts to identify opportunities for data-driven decision-making and drive the implementation of data-driven solutions
• Stay up-to-date with emerging trends and technologies in data engineering and make recommendations for adoption
• Participate in the design and implementation of data architectures that meet the needs of the business
• Ensure data quality, security, and compliance with regulatory requirements

Essential Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field
• Proficiency in at least one major programming language (e.g., Java, Scala, Python) and experience working with SQL
• Experience with large distributed systems and data processing technologies (e.g., Hadoop, Spark, Flink)
• Strong understanding of data modeling and data warehousing principles
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
• Strong problem-solving skills, with the ability to analyze complex data systems and identify areas for improvement

Preferred Qualifications

• Experience with cloud-based data platforms (e.g., AWS, GCP, Azure)
• Knowledge of data governance and data quality best practices
• Experience with agile development methodologies and version control systems (e.g., Git)
• Strong understanding of data security and compliance principles
• Experience with data visualization tools and techniques

Skills and Competencies

• Strong technical skills, with the ability to design and implement large-scale data systems
• Excellent problem-solving skills, with the ability to analyze complex data systems and identify areas for improvement
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
• Ability to work in a fast-paced environment, with changing priorities and deadlines
• Strong attention to detail, with a focus on delivering high-quality results

Career Growth Opportunities and Learning Benefits

At Netflix, we offer a range of career growth opportunities and learning benefits to help you develop your skills and advance your career. These include:

• Opportunities to work on high-impact projects that drive business results
• Collaboration with experienced engineers and data scientists who can provide guidance and mentorship
• Access to training and development programs, including conferences, workshops, and online courses
• Opportunities to participate in hackathons and innovation challenges
• A culture that values innovation, experimentation, and continuous learning

Work Environment and Company Culture

At Netflix, we pride ourselves on our unique culture and work environment. We offer a range of benefits and perks, including:

• Flexible work arrangements, including remote work options
• Comprehensive health and wellness programs, including mental health support
• 401(k) retirement plan with company match
• Stock option program
• Disability programs
• Health savings and flexible spending accounts
• Family-forming benefits
• Life and disability insurance

We also offer a range of paid time off programs, including vacation, holidays, and sick leave. Our culture is built on values of innovation, experimentation, and continuous learning, and we strive to create an environment that is inclusive, diverse, and supportive of all employees.

Compensation and Benefits

We offer a competitive compensation package, including a salary range of $70-$80 per year. We also offer a range of benefits and perks, including those listed above. Our pay structure consists solely of a yearly salary, and we do not offer bonuses. You select each year how much of your compensation you want in salary versus stock options.

Conclusion

If you are a motivated and experienced data engineer looking for a new challenge, we encourage you to apply for this role. At Netflix, we offer a unique and dynamic work environment, with opportunities to work on high-impact projects and collaborate with experienced engineers and data scientists. We are committed to creating a culture that is inclusive, diverse, and supportive of all employees, and we look forward to hearing from you.

Apply now to join our team of talented data engineers and help us drive business insights and innovation at Netflix.