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**Experienced Full Stack Data Engineer – Web & Cloud Application Development at arenaflex**

Remote, USA Full-time Posted 2025-11-24
**Join the arenaflex Team and Revolutionize the Way We Experience Entertainment** At arenaflex, we're on a mission to entertain the world. With over 200 million paid members in over 190 countries, we're pushing the boundaries of what's possible in the entertainment industry. Our challenge is to deliver streaming video at a massive scale over the internet, and we're constantly improving the end-to-end consumer experience with arenaflex across their member journey. **About arenaflex** arenaflex is a global leader in the entertainment industry, with a diverse range of content across multiple genres and languages. We're a company that values innovation, creativity, and collaboration, and we're committed to making a positive impact on our members and the communities we serve. **Data Engineering at arenaflex** Our Data Engineering team is responsible for building the structures that power our analytics and insights. As a Data Engineer at arenaflex, you'll be working on a wide range of projects, from batch data pipelines to real-time processing services that integrate with our core product functions. You'll be working with large-scale datasets, distributed systems, and complex data models to deliver insights that inform our business decisions. **Key Responsibilities** * Design, develop, and deploy scalable data pipelines and architectures to support our analytics and insights * Collaborate with cross-functional teams, including business, engineering, and data science, to deliver insights and recommendations * Develop and maintain high-quality, well-documented code that meets arenaflex's standards for data engineering * Work with large-scale datasets, distributed systems, and complex data models to deliver insights that inform our business decisions * Stay up-to-date with the latest trends and technologies in data engineering and apply them to our projects **Essential Qualifications** * Bachelor's degree in Computer Science, Engineering, or a related field * 2+ years of experience in data engineering, software engineering, or a related field * Strong understanding of data engineering principles, including data modeling, data warehousing, and data governance * Experience with distributed systems, big data technologies, and cloud computing platforms * Strong programming skills in languages such as Java, Scala, Python, or C++ * Experience with data visualization tools and technologies, such as Tableau, Power BI, or D3.js * Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams **Preferred Qualifications** * Master's degree in Computer Science, Engineering, or a related field * 5+ years of experience in data engineering, software engineering, or a related field * Experience with machine learning, artificial intelligence, or natural language processing * Experience with cloud-based data platforms, such as Amazon Web Services (AWS) or Microsoft Azure * Experience with containerization and orchestration tools, such as Docker and Kubernetes * Strong understanding of data security and compliance principles, including GDPR and HIPAA **Skills and Competencies** * Strong analytical and problem-solving skills, with the ability to break down complex problems into manageable components * Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams * Strong attention to detail and ability to deliver high-quality work products * Ability to work in a fast-paced, dynamic environment with multiple priorities and deadlines * Strong understanding of data engineering principles, including data modeling, data warehousing, and data governance * Experience with data visualization tools and technologies, such as Tableau, Power BI, or D3.js **Career Growth Opportunities and Learning Benefits** At arenaflex, we're committed to helping our employees grow and develop their careers. We offer a range of training and development programs, including: * On-the-job training and mentorship * Formal training programs, such as data engineering boot camps and certification programs * Opportunities for career advancement and promotion * Access to industry-leading technologies and tools * Collaborative and dynamic work environment with opportunities for innovation and creativity **Work Environment and Company Culture** arenaflex is a global company with a diverse and inclusive culture. We're committed to creating a work environment that's welcoming, supportive, and inclusive for all employees. We offer a range of benefits and perks, including: * Flexible work arrangements, including remote work options * Comprehensive health and wellness programs, including medical, dental, and vision insurance * 401(k) matching program and other retirement benefits * Paid time off and holidays * Access to industry-leading technologies and tools * Collaborative and dynamic work environment with opportunities for innovation and creativity **Compensation, Perks, and Benefits** arenaflex offers a competitive compensation package, including: * Salary: $20/hour * Bonus structure: performance-based bonus program * Benefits: comprehensive health and wellness programs, including medical, dental, and vision insurance * Retirement benefits: 401(k) matching program * Paid time off and holidays * Access to industry-leading technologies and tools * Collaborative and dynamic work environment with opportunities for innovation and creativity **How to Apply** If you're passionate about data engineering and want to join a dynamic and innovative team, we encourage you to apply for this role. Please submit your resume and a cover letter explaining why you're the best fit for this position. We can't wait to hear from you! **Equal Opportunity Employer** arenaflex is an equal opportunity employer. We value diversity and encourage individuals from all backgrounds to apply. We're committed to creating a work environment that's welcoming, supportive, and inclusive for all employees. Apply for this job    

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