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```html About careerzynith careerzynith is a global leader in financial services technology, delivering innovative solutions that power millions of transactions every day. Our mission is to create seamless, secure, and intelligent experiences for both consumers and businesses worldwide. As a forward‑thinking organization, we invest heavily in cutting‑edge technologies, open‑source collaboration, and continuous learning, ensuring that every team member can grow alongside the industry’s most exciting advancements. Why This Role Matters In today’s data‑driven economy, the ability to capture, process, and analyze massive streams of information in real time is a competitive differentiator. As a Data Engineer at careerzynith, you will be at the heart of this transformation, building robust, high‑performance data pipelines that enable critical decision‑making across the company. Your work will directly impact the reliability and scalability of our payment processing platforms, helping us maintain the trust of millions of users worldwide. Role Overview This is a full‑time, remote position based in the United States (with a preference for candidates located in or near Phoenix). You will join a dynamic, cross‑functional technology group that values creativity, collaboration, and continuous improvement. Reporting to the Head of Architecture, you will design, develop, and maintain distributed data processing systems that operate in hybrid cloud environments. Key Responsibilities Design and implement end‑to‑end data pipelines that ingest, transform, and store high‑volume transactional data in real time. Develop clear, modular architecture diagrams and detailed component specifications that emphasize performance, reliability, and maintainability. Collaborate daily with software engineers, product owners, and data scientists to translate business requirements into scalable technical solutions. Write clean, production‑grade code in Java or Scala, adhering to best practices for testing, documentation, and code review. Build proof‑of‑concept prototypes to evaluate emerging technologies and innovative approaches to data processing. Stay current with industry trends, open‑source projects, and best‑in‑class tools; proactively recommend and adopt improvements. Champion a culture of experimentation, encouraging teammates to test new ideas without fear of failure. Partner with infrastructure, security, and DevOps teams to ensure seamless deployment, monitoring, and operation of data services. Mentor junior engineers, providing technical guidance and fostering a learning environment. Essential Qualifications Education Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field. Experience Minimum of 2 years of professional experience designing and implementing data processing systems using Java or Scala. Data Handling Expertise Hands‑on experience with data streaming technologies (e.g., Apache Flink, Apache Beam) and data storage solutions such as Cassandra or Elasticsearch. Cloud Familiarity Practical knowledge of containerization platforms (Docker, Kubernetes) and cloud services (AWS, GCP, Azure) in a hybrid environment. Problem‑Solving Skills Ability to break down complex problems, design elegant solutions, and execute them with precision. Communication Strong written and verbal communication skills; capable of presenting technical concepts to senior leadership. Preferred Qualifications & Skills Experience with distributed messaging systems such as Apache Kafka. Proficiency in building micro‑services and service‑oriented architectures. Hands‑on experience with DevOps tools and practices, including CI/CD pipelines, continuous monitoring, and automated testing. Deep understanding of data modeling, serialization formats, and memory management in JVM‑based languages. Track record of contributing to open‑source projects or community initiatives. Demonstrated ability to lead technical discussions, influence architectural decisions, and mentor peers. Core Skills & Competencies Technical Mastery Mastery of Java/Scala, data streaming frameworks, and NoSQL databases. Architectural Vision Ability to design systems that scale horizontally, maintain high availability, and meet stringent security standards. Collaboration Comfortable working in distributed, remote teams, building strong relationships across product, engineering, and operations. Adaptability Eagerness to explore new technologies, iterate quickly, and pivot when better solutions emerge. Leadership Proven mentorship capabilities and a passion for elevating the technical expertise of the broader team. Learning & Development Opportunities careerzynith invests heavily in the professional growth of its employees. As part of our team, you will have access to Annual education stipend for conferences, certifications, or online courses. Internal tech talks, hackathons, and knowledge‑sharing sessions focused on emerging data technologies. Mentorship programs pairing you with senior architects and industry experts. Opportunities to contribute to open‑source projects and publish technical blog posts under the careerzynith brand. Career Path & Growth Starting as a Data Engineer, you can progress to Senior Data Engineer, Lead Data Architect, or even Director of Data Engineering, depending on your interests and performance. careerzynith encourages internal mobility, so you may also explore roles in data science, product management, or infrastructure engineering as your career evolves. Compensation, Perks & Benefits While exact figures are tailored to experience, careerzynith offers a competitive hourly rate ranging from $20 to $30, along with a comprehensive benefits package that includes Health, dental, and vision insurance with generous employer contributions. 401(k) retirement plan with matching contributions. Flexible paid time off and remote‑work allowances. Wellness programs, including mental‑health resources and virtual fitness classes. Employee assistance programs and family‑friendly policies. Technology stipend for home office setup. Work Environment & Culture at careerzynith Our culture is built on three pillars Innovation, Inclusion, and Impact. We foster an environment where ideas are welcomed, diverse perspectives are celebrated, and every employee feels empowered to make a difference. Remote team members are integrated through regular virtual coffee chats, collaborative sprint ceremonies, and quarterly in‑person meet‑ups (when possible). careerzynith values work‑life balance, encouraging you to set boundaries while delivering high‑quality results. How to Apply If you are passionate about building data systems that power the future of finance, thrive in a remote setting, and want to grow with a company that invests in its people, we want to hear from you. Click the link below to submit your application and join the careerzynith family. Apply Job! Join careerzynith Today At careerzynith, your expertise will shape the backbone of a global financial ecosystem. Bring your curiosity, technical skill, and collaborative spirit, and help us deliver secure, reliable, and innovative data solutions that millions rely on every day. Apply now and become part of a team that values your contributions and supports your professional journey. ``` Apply for this job
