At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.
About the team
Our Research Data Products team is at the forefront of insights innovation. Our team leverages technical expertise in data science, engineering, and solutions development to support a high-impact team of 90+ quantitative and qualitative researchers across the globe. We enable cutting-edge research through frameworks, data products and technologies designed to help answer Netflix’s most complex business challenges through consumer-driven analytics.
About the Role
As a Software Engineer, you will help mature and expand our Research platforms, data products and frameworks. You will flex both Software and Data Engineering skills, while building context of existing systems and deciding whether to extend, build or buy new solutions. You will combine knowledge of principles, architecture, design patterns, storage, and processing frameworks to build scalable, performant and maintainable (either by self or others) systems. Your work will help pave the paths for these data products in partnership with an interdisciplinary team of engineers, data scientists, and researchers.
What You will Do:
Solve business needs at scale by applying your software engineering and analytical problem-solving skills
Design and building robust, scalable, and highly available distributed infrastructure
Lead cross-functional initiatives and collaborating with engineers, product managers, and technical program managers across teams
Sharing experiences with open source communities and contributing to Netflix OSS
Develop integrations with data SaaS platforms and first party infrastructure.
Support integrations with Research, A/B testing and experimentation systems for sampling and allocation protocols
Develop libraries and SDKs to extend core functionality to new systems
Enable Data Scientists by developing scalable methods, utilities and applications
Partner with other Data Engineers & Software Engineers to make data available for self-service and wider integration.
What we are looking for:
We are looking for a skilled, independent, and curious Software Engineer who champions scalable solutions engineering for analytic applications.
Proficiency in SQL, Python, or Spark for querying and analyzing large datasets.
Experience with data pipelines, ETL, and cloud platforms (AWS, GCP, Azure).
Understanding of privacy-preserving techniques (e.g., encryption, federated learning, synthetic data).
Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.
You are proficient in at least one major language on the JVM stack (e.g., Java, Scala) and SQL (any variant).
You possess strong data intuition and know how to apply your analytical skills and data engineering fundamentals to support building high-quality data products.
You understand how ML systems consume data—features, inference inputs, labels, and reward signals
You can craft scalable systems and solutions to realize a range of product and engineering goals.
You prioritize observability in your designs, ensuring systems are equipped with comprehensive monitoring, logging, and alerting to facilitate proactive issue detection and resolution.
You own what you build, beyond just your code and have a passion for quality.
Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $388,000.00 - $558,000.00. This compensation range will vary based on location.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
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.
Job is open for no less than 7 days and will be removed when the position is filled.