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

At arenaflex, we're on a mission to revolutionize the way we approach data-driven decision-making. As a leading innovator in the industry, we're committed to harnessing the power of technology to drive growth, efficiency, and customer satisfaction. We're now seeking an exceptional Full Stack Data Engineer to join our team and contribute to the development of our cutting-edge cloud data warehouse. **About arenaflex** arenaflex is a forward-thinking organization that values innovation, collaboration, and continuous learning. Our team of experts is passionate about staying at the forefront of technological advancements, experimenting with new tools and techniques, and mentoring each other to achieve excellence. We're proud to be a remote-first company, offering the flexibility and autonomy to work from anywhere while being part of a dynamic and supportive community. **Job Summary** As a Full Stack Data Engineer at arenaflex, you'll play a critical role in designing, developing, and supporting our complex software solutions. You'll work closely with our engineering and product development teams to deliver high-quality data warehouse solutions that meet the needs of our business stakeholders. Your expertise in data modeling, data science, and cloud technologies will enable us to make data-driven decisions, drive business growth, and improve customer satisfaction. **Key Responsibilities** * Design and develop complex data warehouse solutions in the cloud, leveraging your expertise in relational, dimensional, and graph data modeling. * Preprocess structured and unstructured data to ensure high-quality data for analysis and decision-making. * Collaborate with engineering and product development teams to deliver data-driven solutions that meet business needs. * Develop and maintain data models, data pipelines, and data visualizations to support business intelligence and data science initiatives. * Participate in internal and external technology communities to stay up-to-date with the latest trends and technologies. * Mentor and support other team members in their learning and development journey. * Deliver on timeline commitments and build trust and strong relationships with stakeholders at all levels. **Desirable Qualities** * Balance critical thinking with hands-on analysis to drive data-driven decision-making. * Demonstrate a keen interest in learning data science while bringing engineering rigor to the team. * Possess a research mindset, with the ability to structure projects from idea to experimentation to prototype to implementation. * Be a driven and focused self-starter, with exceptional communication and follow-through skills. * Be resolute in overcoming challenges and embracing new opportunities. * Take a pragmatic, product-oriented approach to problem-solving and decision-making. **Qualifications & Experience** * **Required** + Designed, developed, and supported a complex software solution, with a strong understanding of software development life cycles. + Proficient in SQL and familiar with data modeling concepts, including dimensional and 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, with the ability to work cross-functionally with minimal supervision. * **Preferred** + Experience with cloud data warehouse platforms, such as Amazon Redshift, Google BigQuery, or Microsoft Azure Synapse Analytics. + Familiarity with data science tools and technologies, such as Python, R, or Julia. + Experience with data visualization tools, such as Tableau, Power BI, or D3.js. + Strong understanding of data governance, data quality, and data security principles. **Skills and Competencies** * Strong technical skills in data modeling, data science, and cloud technologies. * Excellent problem-solving and analytical skills, with the ability to balance critical thinking and hands-on analysis. * Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams. * Ability to work independently and as part of a team, with minimal supervision. * Strong organizational and time management skills, with the ability to deliver on timeline commitments. * Resilience and adaptability, with the ability to overcome challenges and adapt to changing priorities. **Career Growth Opportunities and Learning Benefits** At arenaflex, we're committed to supporting your career growth and development. As a Full Stack Data Engineer, you'll have opportunities to: * Work on complex and challenging projects that drive business growth and customer satisfaction. * Collaborate with experienced engineers and data scientists to learn from their expertise and share your own knowledge. * Participate in internal and external technology communities to stay up-to-date with the latest trends and technologies. * Attend conferences, workshops, and training sessions to enhance your skills and knowledge. * Mentor and support other team members in their learning and development journey. **Work Environment and Company Culture** arenaflex is a remote-first company, offering the flexibility and autonomy to work from anywhere while being part of a dynamic and supportive community. Our team is passionate about innovation, collaboration, and continuous learning, and we're committed to creating a work environment that's inclusive, diverse, and respectful. **Compensation, Perks, and Benefits** We offer a competitive compensation package, including: * Salary: $120,000 - $150,000 per year, depending on experience. * Benefits: Health, dental, and vision insurance, 401(k) matching, and paid time off. * Perks: Flexible work arrangements, professional development opportunities, and a comprehensive onboarding program. **How to Apply** If you're a motivated and experienced Full Stack Data Engineer looking for a new challenge, we'd love to hear from you! Please submit your resume and a cover letter outlining your experience, skills, and qualifications. We can't wait to hear from you and explore how you can contribute to our team's success! Apply for this job