Experienced Data Engineer for Customer Service Team – Big Data Pipelines, Data Modeling, and Business Metrics Development

Remote, USA Full-time
Introduction to arenaflex arenaflex is a pioneering entertainment service, boasting 278 million paid memberships across over 190 countries, offering an unparalleled variety of TV series, films, and games that cater to diverse genres and languages. Our members enjoy the freedom to play, pause, and resume their favorite content anytime, anywhere, with the flexibility to change their plans as they see fit. As a leader in the entertainment industry, arenaflex is committed to revolutionizing the way stories are told and experienced worldwide. The Role: Data Engineer for Customer Service At arenaflex, we prioritize delivering an exceptional customer experience. When our members encounter issues, we strive to resolve them promptly and efficiently, ensuring they can return to streaming their favorite content without interruption. Our Customer Service team is dedicated to providing personalized support, engaging with millions of members via phone and chat in 25 different languages. Within our Data Science and Engineering (DSE) team, we leverage data to meticulously measure, optimize, and personalize our Customer Service investments, aiming to create a delightful and efficient experience for our members. Key Responsibilities Collaborate with data engineers, software engineers, and CS business owners to design and develop reliable, scalable data pipelines that transform raw data into core business metrics. Work with custom visualization tools to surface CS insights, providing actionable data to inform business decisions and improve our product based on member feedback. Design adaptable data structures that can accommodate changes in source data or business processes, demonstrating strong data modeling skills. Develop and maintain big data pipelines using technologies such as Hive, Presto, Spark, and Flink, with a focus on medium to large-scale data sets (10s of millions of records). Write clean, supportable code in Python or Scala, with a strong proficiency in SQL and a passion for advocating data quality. Analyze business problems, develop metrics, and prioritize tasks autonomously, showcasing analytical aptitude and strong technical judgment. Communicate effectively and build productive partnerships with analysts, engineers, and business leaders to drive business outcomes. Essential Qualifications At least 4 years of experience engineering data pipelines using big data technologies on medium to large-scale data sets. Strong data modeling skills, with the ability to design adaptable structures that accommodate changes in source data or business processes. Proficiency in Python or Scala, with a passion for writing clean, supportable code. Advanced SQL skills and a strong advocacy for data quality. Analytical aptitude, with the ability to think through business problems and prioritize tasks autonomously. Strong communication and collaboration skills, with experience working with cross-functional teams. Preferred Qualifications Experience working with custom visualization tools and data storytelling. Knowledge of cloud-based data platforms and technologies. Familiarity with agile development methodologies and version control systems. Experience working in a fast-paced, dynamic environment with a strong focus on innovation and customer satisfaction. Skills and Competencies To succeed in this role, you will need to demonstrate a combination of technical, business, and soft skills, including: Strong technical skills, with expertise in big data technologies, data modeling, and software development. Business acumen, with the ability to understand customer needs and develop data-driven solutions to drive business outcomes. Collaboration and communication skills, with experience working with cross-functional teams and stakeholders. Adaptability and flexibility, with the ability to thrive in a fast-paced, dynamic environment. Passion for data quality, with a strong advocacy for data-driven decision-making. Career Growth and Learning Opportunities At arenaflex, we are committed to supporting the growth and development of our employees. As a Data Engineer for Customer Service, you will have access to a range of learning opportunities, including: Professional development programs, with a focus on technical skills and leadership development. Mentorship and coaching, with experienced engineers and leaders who can provide guidance and support. Opportunities to work on high-impact projects, with the potential to drive business outcomes and improve customer satisfaction. A culture of innovation and experimentation, with a focus on trying new things and learning from failure. Work Environment and Company Culture arenaflex is a unique and dynamic work environment, with a culture that values innovation, collaboration, and customer satisfaction. We are committed to diversity and inclusion, recognizing that a diverse and inclusive workplace is essential for driving business success and creating a positive work environment. As an employee at arenaflex, you can expect: A collaborative and supportive work environment, with a focus on teamwork and open communication. A culture of innovation and experimentation, with a willingness to try new things and learn from failure. A commitment to diversity and inclusion, with a focus on creating a workplace that is welcoming and inclusive to all employees. A range of benefits and perks, including comprehensive health plans, mental health support, and a 401(k) retirement plan with employer match. Compensation and Benefits arenaflex offers a competitive compensation package, with a range of benefits and perks designed to support the well-being and success of our employees. As a Data Engineer for Customer Service, you can expect: A salary range of $170,000 - $720,000, depending on experience and qualifications. A comprehensive benefits package, including health plans, mental health support, and a 401(k) retirement plan with employer match. A range of perks, including flexible time off, paid leave of absence programs, and family-forming benefits. Opportunities for professional development and growth, with a focus on supporting the long-term career goals of our employees. Conclusion If you are a motivated and experienced Data Engineer looking for a new challenge, we encourage you to apply for this exciting opportunity at arenaflex. As a member of our Customer Service team, you will have the chance to work on high-impact projects, drive business outcomes, and improve customer satisfaction. With a competitive compensation package, a range of benefits and perks, and a commitment to diversity and inclusion, arenaflex is the perfect place to take your career to the next level. Apply now to join our team and help us shape the future of entertainment! Apply for this job
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