Experienced Full Stack Data Engineer – Customer Service

Are you a 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 and Engineering (DSE) team as a Full Stack Data Engineer – Customer Service.

About blithequark

blithequark is revolutionizing the entertainment industry with its innovative approach to storytelling and customer engagement. With over 270 million members in 190 countries, we are 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 members via phone and chat in 25 different languages. As a Full Stack Data Engineer – Customer Service, you will play a critical role in helping us achieve our goal of providing a delightful, efficient experience for our members.

The Role

In this exciting role, you will 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. The team is small, so the role 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:

* Design and develop reliable, scalable 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 data-driven solutions that drive business growth and innovation
• Develop advanced data models that are adaptable to changes in the source data or business processes
• Work with custom visualization tools to surface CS insights and inform business decisions
• Develop and maintain high-quality, scalable data pipelines that meet the needs of the business
• Collaborate with analysts, engineers, and business leaders to prioritize and deliver data-driven solutions
• Stay up-to-date with industry trends and emerging technologies, and apply this knowledge to drive innovation and growth

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 strong advocacy for data quality
• Analytical aptitude, with the ability to think through business problems and prioritize autonomously
• Strong communication and productive partnership skills, with the ability to work effectively 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 business intelligence tools (e.g. Redshift, Looker)
• Experience with machine learning and artificial intelligence technologies (e.g. TensorFlow, PyTorch)
• Experience with data governance and security best practices
• Experience with agile development methodologies (e.g. Scrum, Kanban)

Skills and Competencies:

* Strong technical expertise in data engineering, with a focus on big data technologies and data pipelines

• Excellent problem-solving and analytical skills, with the ability to think critically and creatively
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
• Ability to prioritize and manage multiple projects and tasks simultaneously
• Strong attention to detail and commitment to delivering high-quality results
• Ability to stay up-to-date with industry trends and emerging technologies

Career Growth Opportunities and Learning Benefits:

* Opportunities to work on high-impact projects that drive business growth and innovation

• Collaborative and dynamic work environment that encourages learning and growth
• Access to training and development programs that help you build new skills and advance your career
• Opportunities to work with a diverse range of technologies and tools
• Collaborative and supportive team environment that encourages open communication and feedback

Work Environment and Company Culture:

* blithequark is a unique culture and environment that values diversity, equity, and inclusion

• We are committed to creating a workplace that is inclusive and welcoming to all employees, regardless of their background or identity
• We offer a comprehensive benefits package that includes health insurance, mental health support, a 401(k) retirement plan, and more
• We offer flexible work arrangements, including remote work options and flexible hours
• We prioritize work-life balance and offer paid time off and flexible time off policies

Compensation, Perks, and Benefits:

* Competitive salary range of $170,000 - $720,000, based on experience and qualifications

• Comprehensive benefits package that includes health insurance, mental health support, a 401(k) retirement plan, and more
• Flexible work arrangements, including remote work options and flexible hours
• Paid time off and flexible time off policies
• Opportunities for professional growth and development
• Collaborative and dynamic work environment that encourages learning and growth

How to Apply:

If you are a motivated and talented 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 that highlights your relevant experience and qualifications. We look forward to hearing from you! Apply for this job