Posted Dec 24, 2025

**Experienced Full Stack Data Engineer – Cloud-Based Data Infrastructure Development and Analytics**

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At arenaflex, we're on a mission to revolutionize the way businesses operate by harnessing the power of data and technology. As a leading innovator in the industry, we're seeking a highly skilled and motivated Full Stack Data Engineer to join our team. This is an exceptional opportunity to work with cutting-edge technologies, collaborate with a talented group of professionals, and contribute to the development of cloud-based data infrastructure and analytics solutions. **About arenaflex** arenaflex is a forward-thinking organization that's dedicated to creating a dynamic and inclusive work environment. We believe in fostering a culture of innovation, collaboration, and continuous learning, where our employees can grow and thrive. With a strong focus on diversity, equity, and inclusion, we're committed to creating a workplace that's welcoming and empowering for all. **Job Responsibilities** As a Full Stack Data Engineer at arenaflex, you'll play a critical role in designing, building, and implementing cloud-based data infrastructure and analytics solutions. Your responsibilities will include: * Collaborating with stakeholders and engineering groups to identify and scope the optimal data structure and generation for evaluating key business metrics and client behavioral questions. * Partnering with partner engineering groups to enhance data infrastructure, data availability, and access to client insights through Business Intelligence (BI) tools across the organization. * Designing, building, and implementing ETL (Extract, Transform, Load) processes using AWS and similar technologies. * Implementing anomaly detection systems to proactively address potential data quality issues using industry-standard frameworks. * Enabling large-scale analytics through the use of EMR (Elastic MapReduce) and other big-data technologies. * Establishing and enforcing data quality practices that should be followed across the organization. * Working on proof-of-concepts for the adoption of new technologies and tools. **Basic Qualifications** To be successful in this role, you'll need: * 3+ years of experience in data engineering, with a strong focus on cloud-based data infrastructure and analytics. * Experience with data modeling, warehousing, and building ETL pipelines. * Proficiency in SQL and one or more query languages (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala). * Experience with one or more scripting languages (e.g., Python, KornShell). **Preferred Qualifications** While not required, experience with large-data technologies such as Hadoop, Hive, Spark, and EMR would be a significant advantage. Additionally, experience with large-data processing frameworks, data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments would be highly valued. **Benefits and Perks** As a remote employee at arenaflex, you'll enjoy a range of benefits and perks, including: * Medical, dental, and vision coverage. * Maternity and parental leave options. * Paid Time Off (PTO). * 401(k) plan. * Opportunities for professional development and growth. * Access to cutting-edge technologies and tools. * Collaborative and inclusive work environment. * Flexible work arrangements and remote work options. * Opportunities to work with a diverse and global team. **Why Join arenaflex as a Remote Employee?** Joining arenaflex as a remote employee offers numerous advantages, reflecting our commitment to fostering a dynamic and inclusive work environment. Some of the key benefits include: * Flexibility: Remote work allows you to manage your work schedule and location, promoting better work-life balance and the ability to work from anywhere with a strong internet connection. * Global Opportunities: arenaflex's remote work options can open up opportunities to collaborate with diverse teams and experts from around the world, allowing you to expand your professional network and interact with a global community. * Reduced Commute: Eliminating the need for daily commutes saves time and reduces stress related to traveling to and from the office, contributing to improved productivity and overall well-being. * Autonomy and Independence: Remote work often promotes a sense of autonomy, allowing employees to take ownership of their tasks and manage their work independently while aligning with arenaflex's organizational goals and values. * Technology Integration: arenaflex provides remote employees with access to modern technology and communication tools, facilitating seamless collaboration and ensuring that remote employees have the necessary resources to excel in their roles. * Professional Development: Despite working remotely, arenaflex emphasizes professional development and growth, offering opportunities for skill-building, education programs, and professional development tasks for its remote team members. * Workplace Wellness: arenaflex prioritizes employee well-being, offering resources and support for remote employees to maintain a healthy work-life balance and access wellness programs that promote physical and mental well-being. * Collaboration Tools: The company provides access to collaborative tools and equipment that enable effective communication, task management, and teamwork, fostering a cohesive remote working environment. * Inclusive Work Culture: arenaflex fosters an inclusive work culture that values diversity, equality, and inclusion, ensuring that remote employees have the same opportunities to contribute to the company's success from anywhere. **How to Apply** If you're a motivated and experienced data engineer looking for a new challenge, we encourage you to apply for this exciting opportunity. Please visit our website at [arenaflex website URL] to learn more about our company culture, values, and benefits. To apply, click on the link below: Apply Now We look forward to hearing from you and exploring how you can contribute to arenaflex's mission to revolutionize the way businesses operate through data and technology. Apply Now