Imagine a workplace where your code quietly powers the magic that millions of families experience every day — from theme park reservations and streaming recommendations to merchandise logistics and sports broadcasting. At careerzynith, we believe that behind every unforgettable moment lies a story, and behind every story lies data. We are inviting talented, detail-oriented, and curious engineers to join our distributed team as a Remote Data Engineer, where you will design, build, and optimize the data pipelines and analytical infrastructure that shape the future of entertainment, hospitality, consumer products, and sports media.
This is more than a typical data entry or back-office position. It is a hands-on engineering opportunity for professionals who love working with large datasets, cloud platforms, and modern data warehousing technologies. Whether you are collaborating with decision scientists, partnering with product teams, or automating workflows that process terabytes of information, your work at careerzynith will directly influence how leaders across the organization make smarter, faster, and more customer-focused business decisions. If you have been searching for a remote role that combines technical depth with meaningful impact, this opportunity is designed for you.
careerzynith operates at the intersection of creativity, technology, and analytics. Our organization supports a diverse portfolio of business segments, including world-class parks and resorts, cruise and travel experiences, consumer products, branded experiences, theatrical studios, general entertainment content, and sports media. Each segment generates enormous volumes of structured and unstructured data — and the team you will join is the engine that transforms that data into insight.
You will be part of our Decision Science, Data, and Integration (DDSI) organization, a collaborative group that blends data engineering, decision science, optimization, statistical modeling, and econometric analysis. The DDSI team partners with stakeholders across the entire enterprise to identify opportunities, evaluate trade-offs, and recommend actions that drive measurable business value. Within DDSI, the Data Engineering team is the technical foundation: we build the pipelines, warehouses, and data products that decision scientists and analysts depend on every single day.
As a Remote Data Engineer, you will be embedded with the Media business unit, working on development and sustainment projects that include ad hoc requests, prototypes, and research initiatives. You will partner closely with Decision Science Products, Decision Science, Customer, and Technology colleagues to ensure that data flows seamlessly from source systems to analytical models and visualizations.
As a Remote Data Engineer at careerzynith, you will own the design, development, and maintenance of data pipelines and database structures that support critical business functions. Your day-to-day responsibilities will include, but are not limited to, the following:
Our stack is modern, cloud-native, and designed for scale. While you will have the opportunity to learn and grow within the role, hands-on experience with the following technologies is highly valued:
To be considered for this role, candidates should meet the following minimum requirements:
While not required, the following experiences will help you stand out as a candidate:
Beyond technical knowledge, the ideal candidate will bring a growth mindset and a set of soft skills that enable effective collaboration in a distributed team. We are looking for individuals who demonstrate:
At careerzynith, we believe that great engineers are never finished learning. When you join our team, you will have access to a robust set of resources designed to help you grow technically, professionally, and personally. Our culture supports continuous learning through internal mentorship programs, conference sponsorships, certification reimbursement, and dedicated time for skill-building. Whether you aspire to deepen your expertise in data engineering, expand into decision science, grow into an architectural role, or move into engineering leadership, we will partner with you to chart a path that aligns with your ambitions.
You will also have the chance to work alongside some of the most talented engineers, scientists, and analysts in the industry, contributing to projects that reach hundreds of millions of customers worldwide. The exposure you will gain to multiple business segments — from parks and resorts to media and sports — offers a unique breadth of experience that is rare in the data engineering field.
careerzynith is proud to be a remote-first employer for this position, allowing you to do your best work from the comfort of your home while staying connected to a vibrant, inclusive, and supportive global team. Our culture is rooted in creativity, curiosity, and care — for our customers, for our work, and for one another. We celebrate diverse perspectives, encourage open dialogue, and believe that the best ideas can come from anywhere.
Even though we operate across time zones, we make collaboration a priority. You can expect regular team check-ins, virtual social events, and clear documentation practices that keep everyone aligned. We also recognize the importance of work-life balance and offer flexible scheduling options that empower you to design a workday that fits your life.
This is a full-time remote position with a competitive compensation package. The posted pay range for this role is $27 per hour, with the potential for adjustments based on experience, skills, and location. In addition to base compensation, eligible employees may receive a comprehensive benefits package that typically includes:
Specific benefits may vary based on your location and employment classification, but our commitment to supporting your well-being and growth remains constant.
If you are a data engineer who is passionate about building reliable pipelines, loves working with modern cloud technologies, and wants to contribute to work that truly makes a difference, we would love to hear from you. To be considered, please submit your updated resume along with a brief cover letter describing your experience with data engineering, cloud platforms, and the technologies listed above. Applications are reviewed on a rolling basis, so we encourage you to apply early.
Join careerzynith and help us turn data into the stories, experiences, and decisions that shape the future of entertainment. Your next chapter starts here — from the comfort of your home, with a team that believes in your potential.
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