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

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 – Customer Service. **About blithequark** blithequark is a global leader in the entertainment industry, with over 283 million paid memberships in over 190 countries. Our mission is to revolutionize entertainment and shape the evolution of storytelling around the world. We're committed to delivering an incredible customer experience, and our Customer Service team is at the forefront of this effort. With millions of customers interacting with us via phone and chat in 25 different languages, we're constantly seeking innovative ways to measure, optimize, and personalize our Customer Service investments. **The Role** As a Full Stack Data Engineer – Customer Service, 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. You'll be responsible for designing and developing data pipelines using big data technologies such as Hive, Presto, Spark, and Flink on medium to large-scale data sets (10s of millions of records). Your strong data modeling skills will enable you to design structures that are adaptable to changes in the source data or business processes. **Key Responsibilities:** * Design and develop 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 using advanced SQL skills and data quality advocacy * Work with custom visualization tools to surface CS insights and drive business decisions * Collaborate with data engineers, software engineers, and CS business owners to build reliable, scalable data pipelines * Develop and maintain data models that are adaptable to changes in the source data or business processes * Analyze business problems and prioritize autonomously to drive data-driven decisions * Communicate effectively 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 (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) * Familiarity with data visualization tools (e.g. Tableau, Power BI, D3.js) * Experience with agile development methodologies (e.g. Scrum, Kanban) * Strong understanding of data governance and data quality principles * Experience working with large-scale data sets (100s of millions of records) **Skills and Competencies:** * Strong technical expertise in data engineering, data modeling, and data quality * Excellent analytical and problem-solving skills with the ability to think critically and autonomously * Strong communication and collaboration skills with the ability to work effectively with cross-functional teams * Ability to adapt to changing priorities and deadlines in a fast-paced environment * Strong attention to detail with a focus on delivering high-quality results **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 continuous learning and development * Access to training and development programs to enhance technical and business skills * Opportunities to work with a diverse range of customers and stakeholders to drive business outcomes * Recognition and rewards for outstanding performance and contributions to the team **Work Environment and Company Culture:** * Remote work environment with flexible scheduling and work arrangements * Collaborative and dynamic work environment with a focus on continuous learning and development * Opportunities to work with a diverse range of customers and stakeholders to drive business outcomes * Recognition and rewards for outstanding performance and contributions to the team * blithequark'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. **Compensation, Perks, and Benefits:** * Annual salary range: $170,000 - $720,000 * Comprehensive benefits package 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 for full-time salaried employees * Opportunities for professional growth and development with access to training and development programs **How to Apply:** If you're a highly skilled data engineer with a passion for delivering exceptional customer experiences, we invite you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications for this role. We look forward to hearing from you! Apply for this job