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Posted Jun 2, 2026

Experienced Full Stack Data Engineer – Cloud Data Warehouse Development and Data Science

At careerzynith, we're on a mission to revolutionize the way we approach data-driven decision making. As a seasoned data engineer, you'll play a critical role in shaping our data strategy and driving business growth through innovative data solutions. If you're passionate about staying at the forefront of technological advancements, collaborating with cross-functional teams, and delivering high-quality results, we want to hear from you. **About careerzynith** careerzynith is a leading innovator in the industry, dedicated to harnessing the power of data to drive business success. Our team of experts is passionate about leveraging cutting-edge technologies to create data-driven solutions that transform the way we work. With a strong focus on collaboration, innovation, and customer satisfaction, we're committed to building a culture that fosters growth, learning, and excellence. **Job Summary** We're seeking an experienced full stack data engineer to join our team and contribute to the development of our cloud data warehouse. As a key member of our engineering team, you'll be responsible for designing, developing, and maintaining complex data solutions that meet the evolving needs of our business. If you're a seasoned data professional with a passion for innovation, collaboration, and delivering high-quality results, we encourage you to apply. **Key Responsibilities** * Design, develop, and maintain complex data solutions that meet the evolving needs of our business * Collaborate with engineering and product development teams to ensure seamless integration and delivery of data-driven solutions * Develop and maintain data models, including relational, dimensional, and graph data modeling * Preprocess structured and unstructured data to ensure high-quality data for analysis and reporting * Stay up-to-date with the latest technological advancements and trends in data science and engineering * Participate in internal knowledge-sharing initiatives to drive innovation and collaboration across teams * Deliver high-quality results on time, with a strong focus on customer satisfaction and business outcomes * Build trust and strong relationships with stakeholders at all levels, including engineering, product development, and business teams **Desirable Qualities** * Strike a balance between critical thinking and hands-on analysis to drive data-driven decision making * Have a keen interest in learning data science while bringing engineering rigor to the team * Possess a research mindset, with the ability to structure a project from idea to experimentation to prototype to implementation * Be a driven and focused self-starter, with exceptional communication and follow-through skills * Aggressively tackle work and take ownership of individual responsibilities * Be resolute in overcoming challenges that arise, with a strong focus on problem-solving and customer satisfaction **Qualifications** **Required** * Must have designed, developed, and supported a complex software solution * Proficient in SQL and data modeling * Good understanding of dimensional/multidimensional data modeling * Experience with graph, transactional, and operational data modeling is a plus * Familiarity with all stages of the product development cycle, including defect tracking, design reviews, and testing * Strong organizational and problem-solving skills * Pragmatic, product-oriented approach to data engineering * Ability to work cross-functionally with minimal supervision **Preferred** * Experience with cloud data warehouse development and data science * Strong understanding of data visualization and reporting tools * Familiarity with agile development methodologies and version control systems * Experience with data governance and data quality initiatives * Strong communication and collaboration skills, with the ability to work effectively with stakeholders at all levels **Skills and Competencies** * Strong understanding of data modeling, including relational, dimensional, and graph data modeling * Proficient in SQL and data analysis tools * Experience with cloud data warehouse development and data science * Strong organizational and problem-solving skills * Pragmatic, product-oriented approach to data engineering * Ability to work cross-functionally with minimal supervision * Strong communication and collaboration skills, with the ability to work effectively with stakeholders at all levels **Career Growth Opportunities and Learning Benefits** At careerzynith, we're committed to providing our employees with the opportunities they need to grow and develop their careers. As a data engineer, you'll have access to a range of training and development programs, including: * Regular training sessions and workshops on the latest data science and engineering technologies * Opportunities to collaborate with cross-functional teams and contribute to high-profile projects * Access to a range of online learning resources and training platforms * Regular feedback and coaching from experienced data engineers and leaders * Opportunities to take on new challenges and responsibilities, with a focus on career growth and development **Work Environment and Company Culture** careerzynith is a dynamic and innovative company, with a strong focus on collaboration, innovation, and customer satisfaction. Our team is passionate about leveraging cutting-edge technologies to create data-driven solutions that transform the way we work. We're committed to building a culture that fosters growth, learning, and excellence, with a strong focus on: * Collaboration and teamwork * Innovation and experimentation * Customer satisfaction and business outcomes * Career growth and development * Diversity and inclusion **Compensation, Perks, and Benefits** careerzynith offers a competitive compensation package, including: * Salary: $120,000 - $150,000 per year * Bonus: 10% - 20% of annual salary * Benefits: comprehensive health insurance, retirement plan, and paid time off * Perks: flexible work arrangements, professional development opportunities, and access to the latest technologies and tools If you're a seasoned data engineer with a passion for innovation, collaboration, and delivering high-quality results, we encourage you to apply for this exciting opportunity.