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

Are you a data engineering expert with a passion for delivering exceptional customer experiences? Do you thrive in a fast-paced, dynamic environment where you can leverage your technical skills to drive business growth and innovation? Look no further than blithequark, the world's leading entertainment services company, where we're revolutionizing the way people enjoy their favorite TV shows, movies, and games. As a Data Engineer (L5) - Customer Service at blithequark, you'll play a critical role in building and maintaining the data pipelines that power our customer service operations. With millions of customers interacting with us every day, we need talented engineers like you to help us deliver a seamless, personalized experience that meets their evolving needs. In this role, you'll collaborate with cross-functional teams to design, develop, and deploy scalable data solutions that drive business insights and inform our product roadmap. **About blithequark** blithequark is a global entertainment powerhouse with 283 million paid memberships in over 190 countries. We're committed to delivering an unparalleled customer experience that sets us apart from the competition. Our customer service team is at the forefront of this effort, engaging with millions of customers via phone and chat in 25 different languages. As a Data Engineer (L5) - Customer Service, you'll be part of a dynamic team that's passionate about using data to drive business growth and improve our product offerings. **Key Responsibilities** As a Data Engineer (L5) - Customer Service at blithequark, your key responsibilities will include: * Collaborating with data engineers, software engineers, and CS business owners to design, develop, and deploy scalable data pipelines that meet business requirements * Transforming raw data into core business metrics and insights that inform our product roadmap and customer service strategy * Working with custom visualization tools to surface customer service insights and drive business decisions * Developing and maintaining data models that are adaptable to changes in source data or business processes * Designing and implementing data quality checks and metrics to ensure data accuracy and integrity * Partnering with analysts, engineers, and business leaders to identify business problems and develop data-driven solutions * Staying up-to-date with emerging trends and technologies in data engineering and applying this knowledge to drive innovation and improvement in our data pipelines **Essential Qualifications** To succeed in this role, you'll need: * 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 source data or business processes * Strong proficiency in Python or Scala, with a passion for writing clean, supportable code * Advanced SQL skills and a commitment to data quality * Analytical aptitude to think through business problems and prioritize autonomously * Strong communication and partnership skills, with the ability to work effectively with analysts, engineers, and business leaders **Preferred Qualifications** While not required, the following qualifications would be a plus: * Experience working with cloud-based data platforms (e.g. AWS, GCP, Azure) * Familiarity with data visualization tools (e.g. Tableau, Power BI) * Knowledge of machine learning algorithms and their application in data engineering * Experience with agile development methodologies and continuous integration/continuous deployment (CI/CD) pipelines **Skills and Competencies** To succeed in this role, you'll need to demonstrate the following skills and competencies: * Strong technical skills in data engineering, with a focus on big data technologies and data modeling * Excellent analytical and problem-solving skills, with the ability to think critically and prioritize autonomously * Strong communication and partnership skills, with the ability to work effectively with cross-functional teams * Ability to adapt to changing business requirements and priorities * Strong attention to detail and commitment to data quality * Passion for staying up-to-date with emerging trends and technologies in data engineering **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 mentorship programs to help you develop your technical skills and expertise * Opportunities to work on high-impact projects that drive business growth and innovation * Collaborative and dynamic work environment that encourages creativity and experimentation * Access to cutting-edge technologies and tools, with the opportunity to try new things and innovate * Recognition and rewards for outstanding performance and contributions to the team **Work Environment and Company Culture** At blithequark, we're proud of our unique culture and work environment. We're a global company with a diverse and inclusive team, and we're committed to creating a workplace that's welcoming and supportive of all employees. As a Data Engineer (L5) - Customer Service, you'll be part of a dynamic team that's passionate about using data to drive business growth and improve our product offerings. We're a remote-friendly company, with flexible work arrangements that allow you to work from anywhere. **Compensation, Perks, and Benefits** We offer a competitive compensation package that includes: * Annual salary, with the option to choose how much of your compensation you want in salary versus stock options * 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 to flexible time off for full-time salaried employees **Conclusion** If you're a data engineering expert with a passion for delivering exceptional customer experiences, we want to hear from you. As a Data Engineer (L5) - Customer Service at blithequark, you'll have the opportunity to work on high-impact projects that drive business growth and innovation, while developing your technical skills and expertise in a dynamic and collaborative work environment. Apply now to join our team and help us revolutionize the way people enjoy their favorite TV shows, movies, and games. **How to Apply** To apply for this role, please submit your resume and a cover letter explaining why you're the ideal candidate for this position. We look forward to hearing from you! Apply for this job