Part‑Time Remote Data Engineer – Distributed Systems & Large‑Scale Data Platform (careerzynith)
About careerzynith – Shaping the Future of Global Entertainment careerzynith is a world‑leading streaming and digital entertainment company that delivers movies, series, documentaries, and interactive experiences to millions of subscribers across more than 190 countries. With a catalog available in over 30 languages and a rapidly expanding portfolio that now includes gaming and immersive media, careerzynith is redefining how audiences discover, enjoy, and engage with content. Our mission is to bring joy to a global audience while pioneering innovative technology that powers the next generation of entertainment. Why This Role Matters At careerzynith, data is the lifeblood of every decision—from content recommendation algorithms to operational efficiency and product innovation. Our Data Platform teams build the robust, high‑performance infrastructure that enables engineers, product managers, and analysts to turn raw data into actionable insights. As a Part‑Time Remote Data Engineer , you will join a small, high‑impact squad that designs, implements, and scales distributed data systems that serve millions of users worldwide. Role Overview This position is a part‑time, fully remote opportunity open to candidates located anywhere in the United States. You will work closely with senior architects, product owners, and cross‑functional teams to develop resilient, low‑latency data pipelines, storage solutions, and query engines. Your contributions will directly support careerzynith’s ambitious goal of reaching 500 million global users while maintaining the reliability and performance our audience expects.
Key Responsibilities
Design, develop, and maintain highly scalable distributed data services that handle petabyte‑scale workloads. Build and optimize data ingestion pipelines that achieve sub‑millisecond latency for real‑time analytics. Collaborate with product and engineering teams to translate business requirements into robust data solutions. Contribute to open‑source projects and share best practices with the broader community. Implement automated testing, monitoring, and alerting to ensure data reliability and availability. Participate in code reviews, design discussions, and architecture planning sessions. Mentor junior engineers and foster a culture of continuous learning and constructive feedback. Stay current with emerging technologies (e.g., Kafka, Flink, Presto/Trino, Druid, Flash) and evaluate their fit for careerzynith’s ecosystem. Essential Qualifications 2+ years of professional experience building large‑scale distributed systems or data platforms. Strong proficiency in Java or another object‑oriented programming language (e.g., Scala, Kotlin). Hands‑on experience with RESTful web services and microservice architectures. Demonstrated ability to design fault‑tolerant, highly available systems that operate at scale. Bachelor’s degree in Computer Science, Software Engineering, or a related technical field. Excellent problem‑solving skills and the ability to think critically about complex data challenges.
Preferred Qualifications
Experience with distributed data processing frameworks such as Apache Kafka, Apache Flink, or similar. Familiarity with query engines like Presto, Trino, or Druid, and data warehousing concepts. Knowledge of cloud‑native platforms (AWS, GCP, Azure) and container orchestration (Kubernetes). Contributions to open‑source projects or a strong presence in the open‑source community. Understanding of data security, compliance, and governance best practices. Ability to work effectively in a remote, distributed team environment. Core Skills & Competencies Technical Excellence Deep understanding of distributed systems, data modeling, and performance optimization. Collaboration Strong communication skills to partner with product managers, data scientists, and other engineers. Adaptability Comfort with fast‑paced, evolving requirements and the ability to pivot quickly. Ownership Proactive mindset—take responsibility for end‑to‑end delivery and operational health of services. Innovation Passion for exploring new technologies and pushing the boundaries of what data platforms can achieve. Career Growth & Learning Opportunities careerzynith invests heavily in the professional development of its employees. As a part‑time member of our Data Platform organization, you will have access to Mentorship from senior architects who have built industry‑leading data infrastructures. Technical workshops, conferences, and internal hackathons focused on big data, cloud, and open‑source technologies. Opportunities to lead high‑visibility projects that directly impact millions of users. Clear pathways to transition into full‑time roles, senior engineering positions, or specialized data‑science collaborations. Work Environment & Culture at careerzynith Our culture is built on curiosity, inclusion, and a relentless drive for excellence. We celebrate diverse perspectives and encourage every team member to bring their authentic self to wor