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 System Insights & Productivity Metrics team is crucial to our Developer Experience organization. It focuses on empowering Netflix engineers with comprehensive system insights and metrics to enhance decision-making, optimize workflows, and drive engineering excellence across the organization. This team is responsible for developing solutions that visualize and analyze comprehensive system insights and metrics, supporting engineering excellence and aligning with strategic goals of accelerating innovation and reducing risk.
As a Data and Software Engineer, you will play a crucial role in developing solutions that ingest, process, aggregate, visualize, and analyze comprehensive system insights and metrics. Your work will directly impact Netflix's ability to deliver high-quality entertainment experiences to millions of users worldwide. You will collaborate with data scientists, product managers, and other engineers to build robust data pipelines and software solutions that power our analytics, machine learning models, and product features.
Key Responsibilities:
Design, develop, and maintain scalable data pipelines and software applications that support Netflix's core business objectives.
Collaborate with cross-functional teams to understand business needs and translate them into technical solutions that drive innovation and efficiency.
Implement and optimize distributed processing frameworks to handle large-scale data processing.
Develop and integrate software solutions for data analysis, reporting, and experimentation.
Continuously improve system efficiency and effectiveness, leveraging best practices in data governance and software engineering.
Stay informed about industry trends and emerging technologies to keep Netflix at the forefront of innovation.
Key requirements:
Proficient in Java, Spark, and SQL.
Extensive experience working on ETL, aggregation, and reporting.
Experienced in building and managing distributed systems and data pipelines.
Experience in building MCPs and GenAI Frameworks.
Familiar with big data technologies and comfortable working with large scale datasets.
Strong communicator with the ability to explain complex data problems in clear and concise language.
Passionate about data quality, software design, and delivering impactful solutions.
Comfortable working in a fast-paced, agile environment with ambiguous requirements.
A collaborative team player who thrives in a diverse and inclusive culture.
Nice-to-have Qualifications:
Hands-on experience with batch or streaming data processing.
Knowledge of data modeling, data warehousing, and data transformation.
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.
Skills Required
- Proficient in Java, Spark, and SQL
- Extensive experience in ETL, aggregation, and reporting
- Experience building and managing distributed systems and data pipelines
- Experience building MCPs and GenAI frameworks
- Familiarity with big data technologies and large-scale datasets
- Strong communication skills; explain complex data problems clearly
- Comfortable working in a fast-paced, agile environment with ambiguous requirements
- Collaborative team player who supports a diverse and inclusive culture
- Hands-on experience with batch or streaming data processing
- Knowledge of data modeling, data warehousing, and data transformation
Netflix Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Netflix and has not been reviewed or approved by Netflix.
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Fair & Transparent Compensation — Compensation is positioned as “personal top of market” with regular recalibration and broad posted ranges for senior roles that signal the philosophy. The cash‑forward structure and clearly described pay‑mix choices help set expectations on how pay is determined.
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Equity Value & Accessibility — Employees can choose the mix of cash versus fully vested 10‑year stock options, with grants structured to be retained even after departure. This employee‑directed design increases accessibility and control over equity participation.
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Healthcare Strength — Health coverage is described as comprehensive across medical, dental, vision, and mental health, with employer funding designed to offset premiums. Additional resources like counseling/coaching and wellness support reinforce breadth in care access.
Netflix Insights
What We Do
Netflix is the world's leading streaming entertainment service with 209 million paid memberships in over 190 countries enjoying TV series, documentaries and feature films across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.
