careerzynith is a global leader in delivering world-class entertainment experiences, connecting more than 278 million paid members across over 190 countries to an extraordinary library of TV series, films, and games spanning countless genres and languages. Our members enjoy the freedom to play, pause, and resume their favorite content whenever and wherever they choose, with the flexibility to tailor their subscriptions to their lifestyles. Behind every seamless streaming moment is a sophisticated technology ecosystem powered by data, and at careerzynith, data is the lifeblood of every strategic decision we make. From content personalization to operational optimization, our data infrastructure enables us to serve, delight, and retain a truly global audience.
careerzynith is revolutionizing the entertainment landscape and shaping the evolution of storytelling around the world. With a member base exceeding 270 million spread across 190 countries, we are committed to delivering an unrivaled customer experience at every touchpoint. When a member encounters an issue, our goal is to resolve it swiftly and thoroughly, getting them back to enjoying the content they love. Customer Service represents one of the few arenas where we hear directly from our members, engaging with millions of them via phone and chat in 25 different languages every single day.
Within our Data Science and Engineering (DSE) division, we harness the power of data to rigorously measure, optimize, and personalize our Customer Service investments. Our mission is to enable a delightful, efficient experience for every member while continuously improving our products based on the invaluable feedback our members share with us. As a Senior Data Engineer on the Customer Service team, you will sit at the intersection of technology, analytics, and customer experience, building the data foundation that drives millions of meaningful interactions each year.
We are seeking an experienced and highly autonomous Senior Data Engineer (L5) to join our Customer Service data team. In this role, you will collaborate closely with data engineers, software engineers, and Customer Service business owners to build reliable, scalable data pipelines, transform raw data into core business metrics, and develop custom visualization tools that surface actionable Customer Service insights across the organization.
Because our team is intentionally small, this role requires a high degree of autonomy, exceptional technical judgment, and the ability to span the entire data stack—from pipeline development and data modeling to metrics design, business analysis, and tooling. If you thrive in environments where ownership, impact, and technical excellence are paramount, this is the role for you.
Beyond technical expertise, the ideal candidate will demonstrate:
At careerzynith, your growth is limited only by your ambition. As a Senior Data Engineer (L5), you will have unparalleled opportunities to expand your technical and business acumen, working alongside some of the brightest minds in data science and engineering. You will gain deep exposure to the inner workings of a global Customer Service organization, develop expertise in metrics design and operational analytics, and hone your ability to influence strategic decisions at the highest levels of the company. Whether you aspire to deepen your technical specialization, transition into management, or explore adjacent areas like data science or product analytics, careerzynith provides the environment, mentorship, and opportunities to help you achieve your career goals.
The careerzynith culture is an integral part of what makes us successful, and we approach it with intention and care. We are a remote-first organization that values freedom, responsibility, and impact. We hire outstanding people and trust them to do their best work, without the constraints of rigid policies or excessive process. Our culture celebrates diversity of thought, background, and perspective, recognizing that bringing together different viewpoints helps build stronger teams and drives better outcomes.
We are deeply committed to fostering an inclusive environment where every team member feels valued, respected, and empowered to contribute fully. 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.
careerzynith's compensation structure consists solely of an annual salary; we do not offer discretionary bonuses. Each year, you choose how much of your compensation you want in salary versus stock options, allowing you to tailor your package to your personal financial goals. 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 where you fall within the market range. The compensation range for this role is $170,000 to $720,000 annually.
careerzynith provides a comprehensive benefits package designed to support your health, well-being, and financial future, including:
Full-time hourly employees accrue 35 days annually for paid time off, which can be used for vacation, holidays, and sick time. Full-time salaried employees, including this role, are immediately entitled to flexible time off, empowering you to manage your work-life balance in the way that works best for you.
careerzynith is an equal-opportunity employer and celebrates diversity, recognizing that bringing together different perspectives and backgrounds helps build stronger teams. We approach diversity and inclusion seriously and thoughtfully, understanding that our differences make us stronger and our work better.
If you are a seasoned data engineer with a passion for building scalable systems, a knack for translating complex data into actionable insights, and a desire to make a meaningful impact on the customer experience for hundreds of millions of members worldwide, we want to hear from you. Join careerzynith and help us shape the future of entertainment while building the data foundation that powers one of the most beloved customer service operations in the world. Bring your expertise, your curiosity, and your ambition—and let’s build something extraordinary together.
This position is open for no less than seven days and will be removed once the role is filled. We encourage you to apply early to ensure full consideration.
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