**Experienced Full Stack Data Engineer – Customer Service – arenaflex**

At arenaflex, we're revolutionizing entertainment and shaping the evolution of storytelling around the world with over 270 million members in 190 countries. Our mission is to deliver an incredible customer experience, and when a member has a problem using arenaflex, we want to quickly and thoroughly resolve their issue and get them back to streaming. Customer Service is one of the few areas where we hear directly from our members, and we engage with millions of them via phone and chat in 25 different languages. Within Data Science and Engineering (DSE), we use data to rigorously measure, optimize, and personalize our Customer Service investments to enable a delightful, efficient experience and to improve our product based on what our members tell us. **Job Summary:** We're looking for an experienced Full Stack Data Engineer to join our Customer Service team at arenaflex. As a key member of our Data Science and Engineering team, you'll collaborate with data engineers, software engineers, and CS business owners to build reliable, scalable data pipelines, transform raw data into core business metrics, and work with custom visualization tools that surface CS insights. The team is small, so the role requires a high degree of autonomy, strong technical judgment, and the ability to span across the data stack, from pipeline development to business metrics and tools. **Key Responsibilities:** * Collaborate with data engineers, software engineers, and CS business owners to design, develop, and maintain reliable, scalable data pipelines that meet the needs of our Customer Service team. * Transform raw data into core business metrics using advanced data modeling skills and strong proficiency in Python or Scala. * Work with custom visualization tools to surface CS insights and inform business decisions. * Develop and maintain data quality standards, ensuring that data is accurate, complete, and consistent. * Analyze business problems and develop metrics to measure success, prioritizing autonomously and making data-driven decisions. * Communicate effectively with analysts, engineers, and business leaders to ensure that data-driven insights are actionable and impactful. **Essential Qualifications:** * At least 4 years of experience engineering data pipelines using big data technologies (Hive, Presto, Spark, Flink) on medium to large-scale data sets (10s of millions of records). * Strong data modeling skills, with the ability to design structures that are adaptable to changes in the source data or business processes. * Strong proficiency in Python or Scala, with a passion for writing clean, supportable code. * Advanced SQL skills, with a strong advocacy for data quality. * Analytical aptitude, with the ability to think through business problems and prioritize autonomously. * Strong communication and productive partnership skills, with the ability to work effectively with analysts, engineers, and business leaders. **Preferred Qualifications:** * Experience working with cloud-based data platforms, such as AWS or GCP. * Familiarity with data visualization tools, such as Tableau or Power BI. * Experience with agile development methodologies and version control systems, such as Git. * Strong understanding of data governance and data security principles. * Experience working in a fast-paced, dynamic environment with multiple stakeholders and priorities. **arenaflex Culture:** arenaflex's culture is an integral part of what makes us successful, and we approach diversity and inclusion seriously and thoughtfully. We are an equal-opportunity employer and celebrate diversity, recognizing that bringing together different perspectives and backgrounds helps build stronger teams. Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $170,000 - $720,000. **Benefits:** arenaflex provides comprehensive benefits, including: * Health Plans * Mental Health support * 401(k) Retirement Plan with employer match * Stock Option Program * Disability Programs * Health Savings and Flexible Spending Accounts * Family-forming benefits * Life and Serious Injury Benefits * Paid leave of absence programs * Flexible time off **Work Environment:** arenaflex is a unique culture and environment. We're a remote-first company, with a focus on flexibility and work-life balance. Our team is passionate about delivering an incredible customer experience, and we're committed to making arenaflex a great place to work. **How to Apply:** If you're passionate about data engineering and customer service, and you're looking for a challenging and rewarding role, we encourage you to apply. Please submit your resume and a cover letter explaining why you're the perfect fit for this role. We can't wait to hear from you! 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