**Experienced Full Stack Data Engineer – Customer Service – Data Science & Analytics**

Are you a highly skilled and motivated Data Engineer looking to join a dynamic team at blithequark, a leading entertainment services company revolutionizing the way people consume media? Do you have a passion for building reliable, scalable data pipelines and transforming raw data into core business metrics? If so, we want to hear from you! **About blithequark** blithequark is one of the world's leading entertainment services, with 278 million paid memberships in over 190 countries. Our mission is to entertain, inform, and connect people around the world through our vast library of TV series, films, and games. 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 in our Customer Service team, you'll play a critical role in helping us deliver a delightful, efficient experience for our members. 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. **Key Responsibilities** * Design, develop, and maintain large-scale data pipelines using big data technologies (Hive, Presto, Spark, Flink) on medium to large-scale data sets (10s of millions of records) * Collaborate with data engineers, software engineers, and CS business owners to build reliable, scalable data pipelines and transform raw data into core business metrics * Work with custom visualization tools that surface CS insights and provide data-driven recommendations to improve the customer experience * Develop and maintain data models that are adaptable to changes in the source data or business processes * Design and implement data quality checks and ensure data accuracy and integrity * Collaborate with analysts, engineers, and business leaders to prioritize and deliver business-critical projects * Develop and maintain documentation of data pipelines, data models, and data quality checks **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 to think through business problems and prioritize autonomously * Strong communication and productive partnership with analysts, engineers, and business leaders **Preferred Qualifications** * Experience working with cloud-based data platforms (e.g. AWS, GCP, Azure) * Experience with data warehousing and ETL processes * Experience with data visualization tools (e.g. Tableau, Power BI) * Experience with machine learning and predictive analytics * Experience with agile development methodologies (e.g. Scrum, Kanban) **Skills and Competencies** * Strong technical skills in data engineering, data modeling, and data quality * Excellent analytical and problem-solving skills * Strong communication and collaboration skills * Ability to work in a fast-paced, dynamic environment * Strong attention to detail and ability to prioritize tasks effectively * Ability to adapt to changing requirements and priorities **Career Growth Opportunities and Learning Benefits** * Opportunities to work on high-impact projects that drive business growth and customer satisfaction * Collaborative and dynamic work environment with a team of experienced professionals * Opportunities for professional growth and development through training, mentorship, and career advancement * Access to cutting-edge technologies and tools, with a focus on innovation and experimentation * Flexible work arrangements, including remote work options and flexible hours **Work Environment and Company Culture** * blithequark is a unique culture and environment that values diversity, inclusion, and innovation * We're committed to creating a workplace that's inclusive, supportive, and empowering for all employees * We offer a comprehensive benefits package, including health insurance, retirement plans, and paid time off * We're an equal-opportunity employer, committed to diversity and inclusion in all aspects of our business **Compensation, Perks, and Benefits** * Competitive salary range: $170,000 - $720,000 * Comprehensive benefits package, including health insurance, retirement plans, and paid time off * Flexible work arrangements, including remote work options and flexible hours * Access to cutting-edge technologies and tools, with a focus on innovation and experimentation * Opportunities for professional growth and development through training, mentorship, and career advancement **How to Apply** If you're a motivated and experienced Data Engineer looking to join a dynamic team at blithequark, we want to hear from you! Please submit your application, including your resume and a cover letter, through our website. We can't wait to hear from you! Apply for this job