Experienced Data Engineer for Netflix Game Development - Distributed Data Processing & Analytics

Join the Team Revolutionizing Entertainment: Netflix Data Engineer Opportunity

At Netflix, we're on a mission to entertain the world, and we're just getting started. With over 200 million paid members across more than 190 countries, we're pushing the boundaries of what's possible in the entertainment industry. Our next big frontier? Gaming. As a Data Engineer in our Game Development team, you'll be at the forefront of this exciting journey, helping us redefine the Netflix subscription experience for our members worldwide.

About the Role: Data Engineer for Netflix Game Development

We're seeking a talented Data Engineer to join our Data Science and Engineering (DSE) team, focused on using data, analytics, and science to drive business success. As a Data Engineer in our Game DSE team, you'll play a critical role in supporting key channels for determining individual game and overall game portfolio performance. You'll work closely with our Game Studio stakeholders to understand the types of data to be collected and collaborate with our Game Development teams to collect telemetry from specific games.

Key Responsibilities:

• Create efficient, customizable, and scalable data pipelines for processing structured and unstructured data.
• Develop a deep understanding of emerging domains in the Netflix Game ecosystem.
• Collaborate with Game Studio leads to develop cutting-edge game metrics (retention, etc.) and partner with Netflix's internal Game Studios to bring relevant metrics and game data into the Netflix ecosystem.
• Work with the Netflix SDK Team and Netflix's third-party gaming partners to obtain data through the Netflix Games SDK.
• Join a unique team of Data Engineers with diverse skill sets who work closely with Analytical Engineering and Data Science counterparts.

Essential Qualifications:

• Bachelor's degree in a relevant field (Computer Science, Engineering, etc.).
• Strong knowledge of at least one programming language (Java, Python, or Scala) with at least 2 years of software/data engineering experience.
• Advanced SQL skills and experience engineering data pipelines using big data technologies (Hive, Presto, Spark, Flink) on medium to large data sets.
• Conceptual knowledge of AWS Cloud Resources (S3, EC2, RDS, etc.).
• Excellent requirements elicitation and implementation skills for scalable data models and pipelines.

Preferred Qualifications:

• Experience working in a fast-paced, dynamic environment with a passion for creating intuitive data products.
• Strong data intuition and a shared passion for continuously improving the Netflix Game experience.
• Experience working with cross-functional teams and stakeholders to drive business outcomes.

Skills and Competencies:

To succeed in this role, you'll need to possess a combination of technical, business, and soft skills. Some of the key skills and competencies we're looking for include:

• Strong programming skills in languages such as Java, Python, or Scala.
• Experience with big data technologies (Hive, Presto, Spark, Flink) and data pipeline engineering.
• Advanced SQL skills and data modeling expertise.
• Cloud computing experience (AWS) and knowledge of cloud-based data processing.
• Excellent communication and collaboration skills, with the ability to work with cross-functional teams.
• Strong problem-solving skills and a passion for data-driven decision-making.

Career Growth Opportunities and Learning Benefits:

As a Data Engineer at Netflix, you'll have the opportunity to work on complex, high-impact projects that drive business success. You'll be part of a talented team of engineers and data scientists who are passionate about using data to drive decision-making. Some of the career growth opportunities and learning benefits you can expect include:

• Opportunities to work on high-visibility projects that impact the business.
• Collaborative environment with experienced engineers and data scientists.
• Professional development opportunities, including training and mentorship programs.
• Access to cutting-edge technologies and tools.

Work Environment and Company Culture:

At Netflix, we pride ourselves on our innovative and inclusive company culture. As a remote-friendly company, we offer flexible work arrangements that allow you to work from anywhere. Some of the benefits of working at Netflix include:

• Flexible work arrangements, including remote work options.
• Collaborative and inclusive company culture.
• Opportunities for professional growth and development.
• Access to a wide range of employee benefits, including health insurance, retirement plans, and more.

Compensation, Perks, and Benefits:

We're committed to offering competitive compensation and benefits packages that reflect our company values. Some of the compensation, perks, and benefits you can expect include:

• Competitive salary ($20-$30/hour).
• Comprehensive benefits package, including health insurance, retirement plans, and more.
• Opportunities for professional growth and development.
• Access to a wide range of employee perks, including flexible work arrangements, employee recognition programs, and more.

Why Join Netflix?

At Netflix, we're passionate about creating a better entertainment experience for our members. As a Data Engineer on our Game Development team, you'll be part of a talented team that's pushing the boundaries of what's possible in the gaming industry. Some of the reasons you might want to join Netflix include:

• Opportunity to work on high-impact projects that drive business success.
• Collaborative and inclusive company culture.
• Professional development opportunities and access to cutting-edge technologies.
• Flexible work arrangements and comprehensive benefits package.

Ready to Apply?

If you're a motivated and talented Data Engineer looking to join a dynamic team that's shaping the future of entertainment, we want to hear from you. Please submit your application today to be considered for this exciting opportunity.

Join our team and help us entertain the world!