Experienced Remote Data Engineer (L5) - Security and Fraud Prevention Specialist for a Leading Entertainment Service Company

Introduction to the Company and Role

Imagine being part of a team that secures the personal data and accounts of over 278 million paid memberships worldwide, enabling them to enjoy their favorite TV series, films, and games without worrying about their security. At Netflix, one of the world's leading entertainment services, we are committed to maintaining the highest level of trust with our customers by protecting their data and preventing fraudulent activities. As a Data Engineer (L5) - Security, you will play a critical role in building data products that provide visibility into security and fraud risks, enabling our security teams to detect and mitigate various types of fraud.

About the Security Data Engineering Team

The Security Data Engineering team is responsible for developing data products that help identify and prevent security threats and fraudulent activities. As a Data Engineer on this team, you will work on building reliable data pipelines and intuitive data products that allow stakeholders to easily leverage data in an effective manner. You will utilize diverse data technologies such as Spark, Presto, Flink, Kafka, and others to build insightful, scalable, and robust data pipelines, write ETL jobs to collect and aggregate data, and develop high-quality data models that describe the entities, interactions, and usage patterns of the Netflix product.

Key Responsibilities

• Engineer efficient, adaptable, and scalable data pipelines to process structured and unstructured data
• Develop a deep understanding of the security ecosystem at Netflix and partner with security engineering teams to understand product goals and provide data that empowers teams to improve our fraud and security posture
• Maintain and rethink existing datasets and pipelines to ensure they remain relevant and effective
• Enable smart analytics by building robust, reliable, and useful data sets that can power various analytic techniques like regression, classification, clustering, etc.
• Collaborate with a stunning team of data engineers with diverse skill sets, partnering closely with analytics engineering and data science counterparts

Essential Qualifications

To be successful in this role, you should have:

• A strong passion for building intuitive data products to mitigate security and fraud risks
• At least 7 years of software/data engineering experience, with proficiency in at least one of Java, Python, or Scala
• Advanced level SQL skills in a complex data environment
• At least 5 years of experience in engineering data pipelines using big data technologies (Hive, Presto, Spark, Flink) on medium to large-scale data sets
• Comfortable working cross-functionally with multiple types of stakeholder groups
• Able to successfully lead large, complex systems design and implementation challenges independently

Preferred Qualifications

While not required, the following qualifications are highly desirable:

• Prior experience in the security and fraud space, with a deep understanding of security threats and mitigation strategies
• Experience working with cloud-based data platforms and technologies
• Knowledge of machine learning algorithms and techniques, with experience applying them to real-world problems
• Excellent communication and collaboration skills, with the ability to work effectively with stakeholders at all levels

Skills and Competencies

To excel in this role, you should possess the following skills and competencies:

• Strong technical skills, with the ability to design and implement complex data systems and architectures
• Excellent problem-solving skills, with the ability to analyze complex problems and develop effective solutions
• Strong collaboration and communication skills, with the ability to work effectively with stakeholders at all levels
• Ability to work in a fast-paced, dynamic environment, with a focus on delivering high-quality results
• Strong attention to detail, with a focus on ensuring the accuracy and reliability of data products

Career Growth Opportunities and Learning Benefits

At Netflix, we are committed to helping our employees grow and develop their careers. As a Data Engineer (L5) - Security, you will have access to a wide range of training and development opportunities, including:

• Professional development courses and workshops, focused on developing technical and soft skills
• Mentorship programs, pairing you with experienced engineers and leaders who can provide guidance and support
• Opportunities to work on high-impact projects, with the potential to drive significant business value
• A collaborative and dynamic work environment, with a focus on innovation and experimentation

Work Environment and Company Culture

At Netflix, we pride ourselves on our unique and dynamic company culture. We are a fast-paced, innovative company that values creativity, collaboration, and experimentation. As a Data Engineer (L5) - Security, you will be part of a team that is passionate about delivering high-quality results and driving business value. Our culture is built around the following values:

• Judgment: We trust our employees to make sound judgments and decisions
• Communication: We communicate openly and honestly, with a focus on transparency and clarity
• Impact: We focus on driving significant business value and impact
• Curiosity: We are curious and open to new ideas and perspectives
• Innovation: We encourage innovation and experimentation, with a focus on delivering high-quality results

Compensation, Perks, and Benefits

At Netflix, we offer a competitive compensation package, with a range of perks and benefits designed to support your well-being and career growth. These include:

• A competitive salary, with a range of $100,000 - $720,000 per year
• A comprehensive benefits package, including health plans, mental health support, and a 401(k) retirement plan with employer match
• A stock option program, with the opportunity to purchase company stock at a discounted rate
• Flexible time off, with the ability to take time off when you need it
• A dynamic and collaborative work environment, with a focus on innovation and experimentation

Conclusion

If you are a motivated and experienced Data Engineer looking for a new challenge, we encourage you to apply for this exciting opportunity. As a Data Engineer (L5) - Security at Netflix, you will have the chance to work on high-impact projects, develop your skills and career, and be part of a dynamic and innovative company culture. Don't miss out on this opportunity to join our team and help shape the future of entertainment. Apply today and let's build the future together!