Part Time/Remote Netflix Data Engineer - Distributed Systems & Data Infrastructure Expert
Join the Team That's Revolutionizing Entertainment: Netflix Data Engineer
At Netflix, we're on a mission to entertain the world, and we're just getting started. With a presence in over 190 countries and streaming content in more than 30 languages, we're pushing the boundaries of how entertainment is created, produced, and delivered. As a leader in the streaming industry, we're continually innovating and expanding our offerings, including forays into new areas like gaming. Our success is built on a foundation of talented individuals who are passionate about using technology to drive engagement and satisfaction.
About the Role: Netflix Data Engineer
We're seeking a skilled Data Engineer to join our Information Framework Teams, a group of innovators who empower Netflix to make data-driven decisions that delight our members worldwide. As a Data Engineer at Netflix, you'll be part of a dynamic team that's responsible for building and maintaining the data infrastructure that underpins our streaming service. Your work will be crucial in enabling our business stakeholders to access and utilize data effectively, safely, and efficiently.
Key Responsibilities:
Design, develop, and maintain large-scale distributed systems and applications that can handle the demands of a global streaming service.
Build and operate scalable, fault-tolerant, and highly available distributed foundations that support our data infrastructure.
Collaborate with cross-functional teams, including engineers, product managers, and technical program managers, to drive projects forward and deliver results.
Share your expertise with the open-source community and contribute to Netflix's open-source initiatives.
Address complex business needs at scale by applying your programming and analytical problem-solving skills.
Focus Areas within Information Framework Teams:
Our Information Framework Teams are organized into several focus areas, each with its own unique challenges and opportunities. These include:
Data Set Access Stage: Building an adaptable query gateway that facilitates data abstractions to work at sub-millisecond latencies.
Data Stage Foundation: Creating high-impact system, control, and organization frameworks that are calibrated for the needs of running our data frameworks at scale.
Data Development and Handling: Enabling diverse client personas across Netflix to meet their low-latency data development and handling needs through a self-service, streamlined product.
Big Data Compute: Providing a cloud-native platform for distributed data processing at Netflix, with a focus on technologies like Spark, Presto/Trino, Druid, and Iceberg.
Big Data Orchestration: Offering a platform for planning, organizing, and executing large data jobs and workflows in a self-serve manner.
About You: Qualifications and Skills
To succeed in this role, you'll need:
2+ years of experience building large-scale distributed systems or applications.
Proficiency in designing and developing RESTful web services.
Experience building and operating scalable, fault-tolerant, distributed systems.
Knowledge of Java or other object-oriented programming languages.
Comfort with multi-threading and concurrency.
A BS in Computer Science or a related field.
Preferred Qualifications:
Experience with distributed data processing frameworks like Spark, Flink, or similar technologies.
Familiarity with data storage solutions like relational databases, NoSQL databases, or data warehousing solutions.
Knowledge of cloud computing platforms, particularly AWS.
Experience with containerization (e.g., Docker) and orchestration (e.g., Kubernetes).
What We Offer: Career Growth, Learning, and Culture
At Netflix, we're committed to fostering a culture of innovation, collaboration, and excellence. As a Data Engineer, you'll have the opportunity to:
Work on complex, challenging problems that have a direct impact on our business.
Collaborate with talented individuals from diverse backgrounds and disciplines.
Develop your skills and expertise through ongoing training and development opportunities.
Contribute to open-source projects and share your knowledge with the broader community.
Our company culture is built on a foundation of freedom, responsibility, and inclusion. We value diversity and encourage individuals from all backgrounds to apply.
Compensation, Perks, and Benefits
Netflix offers a competitive compensation package, including salary, benefits, and perks that reflect our commitment to attracting and retaining top talent. While specific details may vary, our overall compensation philosophy is designed to reward excellence and support the well-being of our employees.
Conclusion: Join Our Team
If you're a motivated and talented Data Engineer looking to make a meaningful impact in the entertainment industry, we encourage you to apply. At Netflix, we're passionate about using technology to drive innovation and engagement. As a member of our team, you'll have the opportunity to be part of a dynamic and rapidly evolving field, with opportunities for growth and development.
We're an equal opportunity employer, and we value diversity at our company. We encourage individuals from all backgrounds to apply.
Apply Now
At Netflix, we're on a mission to entertain the world, and we're just getting started. With a presence in over 190 countries and streaming content in more than 30 languages, we're pushing the boundaries of how entertainment is created, produced, and delivered. As a leader in the streaming industry, we're continually innovating and expanding our offerings, including forays into new areas like gaming. Our success is built on a foundation of talented individuals who are passionate about using technology to drive engagement and satisfaction.
About the Role: Netflix Data Engineer
We're seeking a skilled Data Engineer to join our Information Framework Teams, a group of innovators who empower Netflix to make data-driven decisions that delight our members worldwide. As a Data Engineer at Netflix, you'll be part of a dynamic team that's responsible for building and maintaining the data infrastructure that underpins our streaming service. Your work will be crucial in enabling our business stakeholders to access and utilize data effectively, safely, and efficiently.
Key Responsibilities:
Design, develop, and maintain large-scale distributed systems and applications that can handle the demands of a global streaming service.
Build and operate scalable, fault-tolerant, and highly available distributed foundations that support our data infrastructure.
Collaborate with cross-functional teams, including engineers, product managers, and technical program managers, to drive projects forward and deliver results.
Share your expertise with the open-source community and contribute to Netflix's open-source initiatives.
Address complex business needs at scale by applying your programming and analytical problem-solving skills.
Focus Areas within Information Framework Teams:
Our Information Framework Teams are organized into several focus areas, each with its own unique challenges and opportunities. These include:
Data Set Access Stage: Building an adaptable query gateway that facilitates data abstractions to work at sub-millisecond latencies.
Data Stage Foundation: Creating high-impact system, control, and organization frameworks that are calibrated for the needs of running our data frameworks at scale.
Data Development and Handling: Enabling diverse client personas across Netflix to meet their low-latency data development and handling needs through a self-service, streamlined product.
Big Data Compute: Providing a cloud-native platform for distributed data processing at Netflix, with a focus on technologies like Spark, Presto/Trino, Druid, and Iceberg.
Big Data Orchestration: Offering a platform for planning, organizing, and executing large data jobs and workflows in a self-serve manner.
About You: Qualifications and Skills
To succeed in this role, you'll need:
2+ years of experience building large-scale distributed systems or applications.
Proficiency in designing and developing RESTful web services.
Experience building and operating scalable, fault-tolerant, distributed systems.
Knowledge of Java or other object-oriented programming languages.
Comfort with multi-threading and concurrency.
A BS in Computer Science or a related field.
Preferred Qualifications:
Experience with distributed data processing frameworks like Spark, Flink, or similar technologies.
Familiarity with data storage solutions like relational databases, NoSQL databases, or data warehousing solutions.
Knowledge of cloud computing platforms, particularly AWS.
Experience with containerization (e.g., Docker) and orchestration (e.g., Kubernetes).
What We Offer: Career Growth, Learning, and Culture
At Netflix, we're committed to fostering a culture of innovation, collaboration, and excellence. As a Data Engineer, you'll have the opportunity to:
Work on complex, challenging problems that have a direct impact on our business.
Collaborate with talented individuals from diverse backgrounds and disciplines.
Develop your skills and expertise through ongoing training and development opportunities.
Contribute to open-source projects and share your knowledge with the broader community.
Our company culture is built on a foundation of freedom, responsibility, and inclusion. We value diversity and encourage individuals from all backgrounds to apply.
Compensation, Perks, and Benefits
Netflix offers a competitive compensation package, including salary, benefits, and perks that reflect our commitment to attracting and retaining top talent. While specific details may vary, our overall compensation philosophy is designed to reward excellence and support the well-being of our employees.
Conclusion: Join Our Team
If you're a motivated and talented Data Engineer looking to make a meaningful impact in the entertainment industry, we encourage you to apply. At Netflix, we're passionate about using technology to drive innovation and engagement. As a member of our team, you'll have the opportunity to be part of a dynamic and rapidly evolving field, with opportunities for growth and development.
We're an equal opportunity employer, and we value diversity at our company. We encourage individuals from all backgrounds to apply.
Apply Now