Experienced Data Engineer for Netflix Advertising Technology – Remote Work Opportunity with Competitive Salary and Benefits

Introduction to Netflix and Our Mission

Netflix is the world's leading internet entertainment service, with over 220 million memberships in more than 190 countries enjoying TV series, documentaries, and feature films across a wide variety of genres and languages. As of November 2022, we expanded our business to include an ad-supported plan, making Netflix services available to an even broader member base. Our mission is to entertain the world, and we are committed to delivering high-quality content to our members. To achieve this, we need talented and passionate individuals to join our team, particularly in the area of data engineering for our advertising technology.

About the Role: Data Engineer for Advertising Technology

We are seeking an experienced Data Engineer to join our team, focusing on building and maintaining the data infrastructure that supports our advertising business. As a Data Engineer at Netflix, you will be responsible for designing, building, and maintaining large-scale data systems that enable us to better understand our members' behavior and preferences. You will work closely with cross-functional teams, including data scientists, analysts, and product managers, to identify business needs and develop data-driven solutions.

Key Responsibilities:

• Design, build, and maintain large-scale data systems, including data pipelines, data warehouses, and data lakes, to support our advertising business
• Collaborate with data scientists, analysts, and product managers to identify business needs and develop data-driven solutions
• Develop and maintain data models, data architectures, and data governance policies to ensure data quality and integrity
• Work with large datasets to identify trends, patterns, and insights that inform business decisions
• Develop and maintain data visualizations and reports to communicate insights to stakeholders
• Collaborate with engineers to integrate data systems with other technologies, such as machine learning models and recommendation systems
• Stay up-to-date with industry trends and emerging technologies in data engineering and advertising technology

Essential Qualifications:

To be successful in this role, you will need to have:

• A Bachelor's degree in Computer Science, Engineering, or a related field
• At least 5 years of experience in data engineering, with a focus on building and maintaining large-scale data systems
• Strong programming skills in languages such as Java, Python, or Scala
• Experience with data processing frameworks such as Hadoop, Spark, or Flink
• Experience with data storage solutions such as relational databases, NoSQL databases, or data warehouses
• Strong understanding of data modeling, data architecture, and data governance principles
• Excellent communication and collaboration skills, with the ability to work with cross-functional teams

Preferred Qualifications:

In addition to the essential qualifications, we prefer candidates who have:

• Experience working with advertising technology, including ad serving, ad targeting, and ad measurement
• Knowledge of data privacy regulations, such as GDPR and CCPA
• Experience with cloud-based data platforms, such as AWS or GCP
• Experience with machine learning or deep learning frameworks, such as TensorFlow or PyTorch
• Strong understanding of software engineering principles, including design patterns, testing, and deployment

Skills and Competencies:

To be successful in this role, you will need to have:

• Strong technical skills, including programming, data processing, and data storage
• Excellent problem-solving skills, with the ability to analyze complex problems and develop creative solutions
• Strong communication and collaboration skills, with the ability to work with cross-functional teams
• Ability to work in a fast-paced environment, with multiple priorities and deadlines
• Strong attention to detail, with a focus on delivering high-quality results

Career Growth Opportunities:

At Netflix, we are committed to helping our employees grow and develop their careers. As a Data Engineer, you will have opportunities to:

• Work on complex and challenging projects that have a direct impact on our business
• Collaborate with experienced engineers and data scientists to learn new skills and technologies
• Participate in training and development programs, including conferences, workshops, and online courses
• Take on leadership roles and mentor junior engineers

Work Environment and Company Culture:

At Netflix, we are committed to creating a positive and inclusive work environment that values diversity, equity, and inclusion. We offer:

• A dynamic and collaborative work environment, with a focus on innovation and creativity
• A culture of transparency, with regular feedback and open communication
• A comprehensive benefits package, including health insurance, retirement savings, and paid time off
• A flexible work environment, with options for remote work and flexible hours

Compensation and Benefits:

We offer a competitive salary and benefits package, including:

• A salary range of $120,000 - $180,000 per year, depending on experience
• A comprehensive benefits package, including health insurance, retirement savings, and paid time off
• A flexible work environment, with options for remote work and flexible hours
• A generous stock option plan, with opportunities for long-term wealth creation

Conclusion:

If you are a motivated and experienced Data Engineer looking for a challenging and rewarding role, we encourage you to apply for this position. At Netflix, we are committed to delivering high-quality content to our members, and we need talented and passionate individuals to join our team. With a competitive salary and benefits package, a dynamic and collaborative work environment, and opportunities for career growth and development, this is an opportunity you won't want to miss.

Apply now to join our team and help us shape the future of entertainment!