**Experienced Full Stack Data Engineer (L5) - Customer Service at blithequark**

Are you a highly skilled data engineer with a passion for delivering exceptional customer experiences? Do you thrive in a fast-paced, dynamic environment where you can leverage your technical expertise to drive business growth and innovation? If so, we invite you to join blithequark's Data Science & Analytics team as a Full Stack Data Engineer (L5) - Customer Service. **About blithequark** blithequark is a leading entertainment services company that has revolutionized the way people consume entertainment content. With over 270 million members in 190 countries, we are committed to delivering an unparalleled customer experience that is personalized, efficient, and delightful. Our Data Science and Engineering (DSE) team plays a critical role in achieving this vision by harnessing the power of data to inform business decisions, optimize operations, and drive innovation. **The Role** As a Full Stack Data Engineer (L5) - Customer Service at blithequark, you will be part of a small, agile team that is responsible for building reliable, scalable data pipelines, transforming raw data into core business metrics, and working with custom visualization tools to surface customer insights. Your primary focus will be on collaborating with data engineers, software engineers, and customer service business owners to design, develop, and deploy data solutions that drive business growth and customer satisfaction. **Key Responsibilities** * Design, develop, and deploy data pipelines using big data technologies (Hive, Presto, Spark, Flink) on medium to large-scale data sets (10s of millions of records) * Transform raw data into core business metrics and work with custom visualization tools to surface customer insights * Collaborate with data engineers, software engineers, and customer service business owners to design, develop, and deploy data solutions that drive business growth and customer satisfaction * Develop strong data modeling skills to design structures that are adaptable to changes in the source data or business processes * Work with advanced SQL skills and advocate for data quality to ensure accurate and reliable data insights * Analyze business problems and prioritize autonomously to develop metrics and drive business decisions * Communicate effectively with analysts, engineers, and business leaders to ensure seamless collaboration and partnership **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 accuracy * Analytical aptitude with the ability to think through business problems and prioritize autonomously * Strong communication and partnership skills with the ability to collaborate effectively 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, D3.js) * Experience with machine learning algorithms and techniques * Strong understanding of data governance and data quality principles * Certification in data engineering or related field (e.g., Certified Data Engineer, Certified Analytics Professional) **Skills and Competencies** * Strong technical expertise in data engineering, data modeling, and data visualization * Excellent analytical and problem-solving skills with the ability to think critically and prioritize autonomously * Strong communication and partnership skills with the ability to collaborate effectively with cross-functional teams * Ability to work in a fast-paced, dynamic environment with multiple priorities and deadlines * Strong attention to detail with a focus on data quality and accuracy * Ability to adapt to changing business requirements and priorities **Career Growth Opportunities and Learning Benefits** * Opportunities to work on high-impact projects that drive business growth and innovation * Collaborative and dynamic work environment with a focus on teamwork and partnership * Opportunities for professional growth and development through training, mentorship, and career advancement * Access to cutting-edge technologies and tools to stay up-to-date with industry trends and best practices * Flexible work arrangements with a focus on work-life balance **Work Environment and Company Culture** * blithequark is a remote-friendly company with a focus on work-life balance * Collaborative and dynamic work environment with a focus on teamwork and partnership * Opportunities to work on high-impact projects that drive business growth and innovation * Access to cutting-edge technologies and tools to stay up-to-date with industry trends and best practices * Flexible work arrangements with a focus on work-life balance **Compensation, Perks, and Benefits** * Competitive annual salary range: $170,000 - $720,000 * Comprehensive benefits package 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, and Life and Serious Injury Benefits * Flexible work arrangements with a focus on work-life balance * Opportunities for professional growth and development through training, mentorship, and career advancement * Access to cutting-edge technologies and tools to stay up-to-date with industry trends and best practices **Diversity, Equity, and Inclusion** * blithequark is an equal-opportunity employer and celebrates diversity, recognizing that bringing together different perspectives and backgrounds helps build stronger teams * We approach diversity and inclusion seriously and thoughtfully, with a focus on creating a workplace that is inclusive, respectful, and supportive of all employees * 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 are a highly skilled data engineer with a passion for delivering exceptional customer experiences, we invite you to apply for this exciting opportunity to join blithequark's Data Science & Analytics team. Please submit your resume and cover letter to [insert contact information]. We look forward to hearing from you! Apply for this job