At careerzynith, our central mission is to engage the world through bold innovation and uncompromising quality. With a global subscriber base spanning more than 190 nations and an ever-expanding library of television series, documentaries, and feature films delivered in dozens of languages, careerzynith is reimagining the entertainment experience from end to end. We are not simply a streaming service — we are a technology powerhouse transforming how stories are produced, distributed, and discovered. Every minute of every day, our engineering teams are pushing the boundaries of large-scale distributed systems, cloud-native video delivery, and customer-centric product innovation.
Behind the curtain of every recommendation, every content acquisition decision, and every operational insight lies a vast and complex data ecosystem. careerzynith prides itself on being a data-driven organization where evidence trumps opinion and where quantitative reasoning guides the path forward. From Subscriber Growth and Finance to Product, Content, and Studio Operations, our data touches every facet of the business. The remarkable individuals who design, build, and maintain the systems that collect, transform, and surface this data are the lifeblood of our decision-making engine. We are looking for talented, curious, and driven engineers to join this elite group of practitioners and help shape the next generation of our data platform.
Data Engineering at careerzynith is not a back-office function — it is a strategic discipline that powers the analytics, experimentation, and machine learning capabilities used by executives, product managers, content strategists, and engineers across the company. As a Data Engineer (L5) at careerzynith, you will design and build the systems that process terabytes — and eventually petabytes — of data every single day. Your work will range from batch-oriented data pipelines that produce the business metrics reported to Wall Street, to near real-time processing services that feed directly into the personalization features our members interact with.
This role requires an individual who possesses both the depth of a strong software engineer and the curiosity of a data scientist. You will partner closely with business stakeholders, applied scientists, and product engineers to understand the questions that need answering, and then translate those questions into robust, well-modeled, and highly performant data assets. If you have ever wanted to work on a system where correctness, freshness, and scale all matter equally, this is the role for you.
Success at careerzynith requires more than just technical chops — it demands a particular mindset. We look for engineers who write elegant, well-tested code and who feel a sense of ownership over the systems they build. You should be deeply curious about why a system behaves the way it does, and you should be relentless in pursuit of root causes. Strong data intuition is non-negotiable: you should be able to look at a metric and quickly sense whether something is off, and then methodically track down the source. Equally important is your ability to collaborate. You will be working alongside some of the brightest engineers, scientists, and business minds in the industry, and your willingness to share knowledge, give and receive feedback, and elevate those around you will be the hallmark of your career here.
Joining careerzynith as a Data Engineer at the L5 level means joining a company that invests heavily in the growth of its people. You will have access to internal mentorship programs, technical guilds, and speaker series featuring the leading engineers and scientists shaping the future of streaming and data. We actively encourage our data engineers to publish blog posts, speak at conferences, and contribute to open-source projects. Whether you aspire to grow into a Staff Engineer, transition into machine learning engineering, or move into a technical leadership role, the career trajectory at careerzynith is yours to design.
The careerzynith culture is built on a foundation of freedom and responsibility. We hire exceptionally talented individuals, give them enormous latitude, and hold them to exceptionally high standards. We eschew rigid processes in favor of context-driven decision-making, and we believe that great ideas can come from anywhere in the organization. Our culture deck — famous throughout the tech industry — outlines values like candor, selflessness, and curiosity that continue to guide how we work together. As a remote-eligible hire based in the United States, you will enjoy the flexibility of working from home while still having opportunities to collaborate in person at our Los Gatos, California headquarters for team offsites, planning sessions, and cross-functional gatherings.
careerzynith employs a unique and transparent compensation philosophy. Your total compensation consists solely of an annual base salary, with no bonuses or commissions. Each year, you decide how much of your compensation you would like to receive in cash versus equity in the company, allowing you to tailor your package to your personal financial goals. To determine your individual pay, we consider your specific job family, background, skills, and experience relative to the top of the market.
Beyond compensation, careerzynith provides an industry-leading benefits package designed to support your whole life, including:
If you are a builder at heart, if you love the challenge of wrangling massive datasets into elegant and trustworthy systems, and if you want your work to directly shape the experience of hundreds of millions of members around the world, we want to hear from you. Please submit your resume, a cover letter explaining why you are uniquely suited for this role, and any relevant portfolio materials through our official careers portal. Selected candidates will be invited to a multi-stage interview process designed to assess your technical depth, your collaborative style, and your alignment with the careerzynith culture.
At careerzynith, we believe that entertainment can change the world — and the engineers who power our data platform are central to that mission. Join us, and help us build the future of streaming.