Data Engineer L4/L5 - System Insights & Productivity Metrics

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The software you help build will be the front door for engineering at Netflix. Join us and be a part of transforming the developer experience at Netflix, where your contributions will accelerate developer productivity and significantly improve software quality across our global platform. The team you are joining is at the forefront of transforming how Netflix engineers interact with their systems and how they measure their impact. By leveraging cutting-edge data analysis and intuitive visualization tools, we will build the foundational platforms that provide clear, real-time insights into system performance and developer productivity. 

About Data Engineering:

Data Engineering at Netflix is a role that requires building systems to process data efficiently and modelling the data to power analytics. These solutions can range from batch data pipelines that bring business metrics to life to real-time processing services that integrate with our core product features. In addition, we require our Data Engineers to have a rich understanding of large distributed systems on which our data solutions rely. Candidates should have knowledge across several of these skill sets and usually need to be deep in at least one. As a Data Engineer, you also need to have strong communication skills since you will need to collaborate with business, engineering, and data science teams to enable a culture of learning.

Your Day-to-Day:

• Work cross-functionally to build new services, tools, and data models to improve developer productivity across all of Netflix engineering

• Architect and building scalable, highly available data-driven systems including data modelling, ingestion, transformation and visualisation.

• Regularly learn and evaluate new technologies and approaches to streamline and improve our rapid application development tooling and conventions

• Invest your experience in the growth and development of earlier career talent

You May Enjoy Working With Us If You:

• Can deliver top-tier solutions with minimal guidance. You also recognize when you're wrong, learn from your mistakes, share them with others and grow from them

• Are curious about product experiences and motivated to understand how our work impacts engineering users across the organization

• Are selfless and willing to flex across the stack or into a new domain to help a teammate when needed, never thinking “that’s someone else’s job”

• Strive to embrace best practices and are always searching for opportunities to continually improve.

We Would Love to Work With You If You:

• Enjoy working in a cross-functional team of stunning colleagues. You’re able to work independently but thrive when working with an incredible team

• Consistently demonstrate a collaborative spirit, supporting your team and contributing to a positive, inclusive workplace

• Have excellent communication skills, with the ability to explain complex data challenges in clear, accessible language

• Are proficient in building data pipelines in batch and/or real-time settings (4+ years for L4 and 6+ years for L5)

• Have experience with data technologies such as Spark, Flink, Iceberg, and Kafka

• Are proficient in coding in Java and/or Python and scripting languages. 

• Are skilled in SQL and experienced with BI reporting

• Have experience with implementing Data Access Layers

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.