**Data Engineer (L5) - Customer Service at blithequark**

Are you a skilled data engineer looking to join a dynamic team that's revolutionizing the entertainment industry? Do you have a passion for building reliable, scalable data pipelines and transforming raw data into core business metrics? Look no further than blithequark, where we're shaping the evolution of storytelling around the world with over 270 million members in 190 countries. **About blithequark** blithequark is one of the world's leading entertainment services, providing a wide variety of TV series, films, and games across multiple genres and languages. Our members can play, pause, and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. We're committed to delivering an incredible customer experience, and our Customer Service team is at the forefront of this effort. **The Role** As a Data Engineer (L5) - Customer Service at blithequark, 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. This is a unique opportunity to join a small, agile team that 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 * Transform raw data into core business metrics using advanced data modeling skills and expertise in big data technologies (Hive, Presto, Spark, Flink) * Work with custom visualization tools to surface CS insights and inform business decisions * Develop and maintain advanced SQL skills and advocate for data quality * Analyze business problems and prioritize autonomously to drive data-driven decision-making * Communicate effectively with analysts, engineers, and business leaders to drive collaboration and results **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 focus on data quality and advocacy * Analytical aptitude, with the ability to think through business problems and prioritize autonomously * Strong communication and productive partnership skills, with the ability to collaborate with analysts, engineers, and business leaders **Preferred Qualifications** * Experience working with cloud-based data platforms (e.g. AWS, GCP, Azure) * Familiarity with data visualization tools (e.g. Tableau, Power BI) * Experience with agile development methodologies (e.g. Scrum, Kanban) * Strong understanding of data governance and data quality principles * Experience with machine learning and predictive analytics **Skills and Competencies** * Strong technical skills in data engineering, data modeling, and data analysis * Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams * Strong analytical and problem-solving skills, with the ability to drive data-driven decision-making * Ability to adapt to changing priorities and deadlines, with a focus on delivering high-quality results * Strong attention to detail, with a focus on data quality and accuracy **Career Growth Opportunities and Learning Benefits** At blithequark, we're committed to helping our employees grow and develop their careers. As a Data Engineer (L5) - Customer Service, you'll have access to a range of learning and development opportunities, including: * Regular training and development programs, with a focus on data engineering, data science, and business acumen * Opportunities to work on high-impact projects and contribute to the development of our data and analytics capabilities * Collaborative and dynamic work environment, with a focus on innovation and experimentation * Access to a range of tools and technologies, including cloud-based data platforms, data visualization tools, and machine learning frameworks **Work Environment and Company Culture** blithequark is a unique and dynamic company culture, with a focus on innovation, experimentation, and collaboration. As a Data Engineer (L5) - Customer Service, you'll be part of a small, agile team that requires a high degree of autonomy, strong technical judgment, and the ability to span across the data stack. We're committed to delivering an incredible customer experience, and our Customer Service team is at the forefront of this effort. **Compensation, Perks, and Benefits** At blithequark, we offer a comprehensive compensation package, including: * Annual salary, with a range of $170,000 - $720,000 * Comprehensive benefits, including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits * Paid leave of absence programs, with 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off * Flexible time off, with immediate entitlement for full-time salaried employees **Diversity, Equity, and Inclusion** At blithequark, we're committed to diversity, equity, and inclusion, and we approach these values seriously and thoughtfully. We're an equal-opportunity employer, and we celebrate diversity, recognizing that bringing together different perspectives and backgrounds helps build stronger teams. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. **How to Apply** If you're a skilled data engineer looking to join a dynamic team that's revolutionizing the entertainment industry, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter, highlighting your experience and qualifications for this role. We can't wait to hear from you! Apply for this job