About careerzynith careerzynith is a global leader in financial technology, delivering cutting‑edge payment solutions to millions of consumers and merchants worldwide. With a heritage of more than a century in the industry, careerzynith has continuously reinvented itself, embracing cloud‑native architectures, open‑source collaboration, and data‑driven decision making. Our mission is to empower the digital economy by providing secure, reliable, and scalable platforms that enable seamless transactions across every device and channel. As part of our ongoing digital transformation, we are expanding our data engineering team to build the next generation of distributed data platforms that power real‑time analytics, fraud detection, and personalized experiences for our customers. Why This Role Matters In today’s fast‑moving fintech landscape, data is the lifeblood of innovation. As a Data Engineer at careerzynith, you will be at the heart of a high‑impact team that designs, builds, and operates the data pipelines and services that drive critical business decisions. Your work will directly influence the reliability, performance, and scalability of our transaction processing systems, helping us maintain our reputation for speed, security, and customer satisfaction. This is a unique opportunity to work remotely while collaborating with world‑class engineers, product managers, and data scientists across multiple continents. Key Responsibilities Design, develop, and maintain robust, high‑throughput data ingestion pipelines that process billions of events per day in a hybrid on‑premise and cloud environment. Architect and implement distributed data storage solutions using NoSQL technologies such as Cassandra and Elasticsearch, ensuring low latency and high availability. Collaborate with software engineers to integrate data services into micro‑service architectures, leveraging container platforms like Docker, Kubernetes, and OpenShift. Build proof‑of‑concepts (POCs) to evaluate emerging technologies, open‑source projects, and innovative data processing patterns. Lead the adoption of best practices for data modeling, schema evolution, and data governance, while championing a culture of continuous improvement. Mentor junior engineers, provide technical guidance, and conduct code reviews to uphold high standards of code quality and performance. Participate in on‑call rotations and incident response, diagnosing and resolving production issues with a focus on root‑cause analysis and preventive measures. Stay current with industry trends, contributing insights on streaming analytics, real‑time processing frameworks, and data security enhancements. Essential Qualifications Education Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field. Experience Minimum 2 years of hands‑on experience developing large‑scale data processing systems using Java or Scala. Data Engineering Skills Proven expertise in building data pipelines and working with distributed storage solutions such as Cassandra, Elasticsearch, or similar NoSQL databases. Streaming Technologies Familiarity with message‑oriented middleware like Apache Kafka for real‑time data streaming. Cloud & Containerization Experience deploying services on Docker, Kubernetes, or OpenShift, and an understanding of cloud‑native design principles. Problem‑Solving Ability Demonstrated capacity to design performant, fault‑tolerant systems and troubleshoot complex production issues. Communication Skills Strong written and verbal communication, with the ability to articulate technical concepts to both technical and non‑technical stakeholders. Preferred Qualifications & Nice‑to‑Have Skills Experience with continuous integration/continuous deployment (CI/CD) pipelines and DevOps tooling. Hands‑on knowledge of distributed systems concepts such as CAP theorem, consistency models, and data replication strategies. Background in building micro‑services and service‑oriented architectures, including API design and management. Familiarity with additional data processing frameworks like Apache Flink, Spark Streaming, or Beam. Exposure to security best practices for data at rest and in transit, including encryption, access control, and auditing. Track record of contributing to open‑source projects or communities, reflecting a passion for collaborative innovation. Ability to mentor and lead technical discussions, fostering a culture of learning and knowledge sharing. Core Skills & Competencies Programming Languages Advanced proficiency in Java and/or Scala; comfortable with functional programming paradigms. Data Modeling Strong grasp of schema design for both relational and NoSQL databases, with an emphasis on performance optimization. Distributed Systems Deep understanding of fault tolerance, scalability, and latency considerations in large‑scale environments. Cloud Platforms Practical experience with AWS, Azure, or Google Cloud services, especially those related to data storage and processing. Collaboration Tools Proficiency with Git, Jira, Confluence, and other agile development tools. Analytical Mindset Ability to translate business requirements into technical specifications and measurable outcomes. Adaptability Comfort working in a fast‑paced, remote setting while managing multiple priorities and deadlines. Career Growth & Learning Opportunities careerzynith invests heavily in the professional development of its employees. As a Data Engineer, you will have access to Annual learning budgets for conferences, certifications, and online courses focused on data engineering, cloud architecture, and emerging technologies. Mentorship programs pairing you with senior architects and industry experts to accelerate your technical growth. Opportunities to lead cross‑functional projects, gaining exposure to product management, data science, and security teams. Participation in internal hackathons and innovation sprints, where you can prototype new ideas and influence the product roadmap. A clear career ladder that moves from Engineer → Senior Engineer → Staff Engineer → Principal Engineer, with transparent criteria for promotion. Work Environment & Culture at careerzynith Our remote‑first culture is built on trust, autonomy, and collaboration. careerzynith fosters an inclusive environment where diverse perspectives are celebrated and every voice matters. Key cultural pillars include Innovation First We encourage experimentation, rapid prototyping, and learning from failures as a pathway to breakthrough solutions. Team‑Centric Regular virtual coffee chats, team retrospectives, and cross‑team knowledge sharing sessions keep us connected despite geographic distances. Well‑Being Flexible work hours, mental‑health resources, and a generous paid‑time‑off policy support a healthy work‑life balance. Diversity & Inclusion Employee resource groups, inclusive hiring practices, and continuous training on bias awareness create a welcoming workplace for all. Compensation, Benefits & Perks careerzynith offers a competitive compensation package that reflects your experience and the value you bring to the organization. While exact figures vary by location, typical remuneration includes Hourly rate ranging from $20 to $30, with performance‑based bonuses and equity grants. Comprehensive health, dental, and vision insurance plans for you and your dependents. Retirement savings options, including 401(k) matching contributions. Generous paid parental leave, sick leave, and vacation time. Home office stipend to equip your remote workspace with ergonomic furniture and high‑speed internet. Access to wellness programs, virtual fitness classes, and employee assistance services. Annual company‑wide gatherings (virtual or in‑person) to celebrate milestones and foster community. How to Apply If you are passionate about building resilient data platforms, thrive in a remote environment, and want to make a tangible impact on the future of digital payments, we want to hear from you. Click the link below to submit your application, attach your resume, and tell us why you’re the perfect fit for careerzynith. Apply Now – Join careerzynith! Apply for this job