At arenaflex, we're revolutionizing the entertainment industry with our innovative approach to storytelling and customer experience. As a leading entertainment services provider with over 283 million paid memberships in 190 countries, we're constantly pushing the boundaries of what's possible. Our Customer Service team is at the forefront of this revolution, engaging with millions of members via phone and chat in 25 different languages. Within Data Science and Engineering (DSE), we use data to rigorously measure, optimize, and personalize our Customer Service investments to enable a delightful, efficient experience and to improve our product based on what our members tell us.
**Join arenaflex's Data Science & Analytics team as a Full Stack Data Engineer – Customer Service**
We're seeking an experienced Full Stack Data Engineer to join our Data Science & Analytics team. As a key member of our team, 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. 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:**
- Collaborate with data engineers, software engineers, and CS business owners to design, develop, and maintain data pipelines that support customer service insights and business metrics.
- Develop and maintain scalable data pipelines using big data technologies (Hive, Presto, Spark, Flink) on medium to large-scale data sets (10s of millions of records).
- Design and implement data models that are adaptable to changes in the source data or business processes.
- Work with custom visualization tools to surface customer service insights and business metrics.
- Develop and maintain advanced SQL skills and advocate for data quality.
- Analyze business problems and develop metrics to measure and optimize customer service investments.
- Collaborate with analysts, engineers, and business leaders to prioritize and implement data-driven solutions.
- Develop and maintain clean, supportable code in Python or Scala.
- Participate in code reviews and contribute to the improvement of the data engineering team's codebase.
**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, with the ability 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).
- Experience with agile development methodologies (e.g. Scrum, Kanban).
- Strong understanding of data governance and data quality principles.
- Experience with data security and compliance (e.g. GDPR, HIPAA).
**Skills and Competencies:**
- Strong technical skills in data engineering, with a focus on big data technologies and data pipelines.
- Excellent analytical and problem-solving skills, with the ability to think critically and prioritize autonomously.
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
- Strong data modeling and SQL skills, with a focus on data quality and advocacy.
- Experience with cloud-based data platforms and data visualization tools.
- Strong understanding of data governance and data quality principles.
**Career Growth Opportunities and Learning Benefits:**
- arenaflex is committed to providing opportunities for career growth and development, with a focus on data engineering and analytics.
- Our team is passionate about learning and sharing knowledge, with regular training and mentorship opportunities.
- arenaflex offers a comprehensive benefits package, including health insurance, retirement plans, and stock options.
- We prioritize diversity and inclusion, with a focus on creating a welcoming and inclusive work environment.
**Work Environment and Company Culture:**
- arenaflex is a remote-friendly company, with a focus on flexibility and work-life balance.
- Our team is passionate about innovation and creativity, with a focus on pushing the boundaries of what's possible.
- We prioritize diversity and inclusion, with a focus on creating a welcoming and inclusive work environment.
- arenaflex is committed to providing opportunities for career growth and development, with a focus on data engineering and analytics.
**Compensation, Perks, and Benefits:**
- arenaflex offers a competitive salary range of $170,000 - $720,000, depending on experience and qualifications.
- We provide comprehensive benefits, including health insurance, retirement plans, and stock options.
- arenaflex prioritizes diversity and inclusion, with a focus on creating a welcoming and inclusive work environment.
- We offer a comprehensive benefits package, including health insurance, retirement plans, and stock options.
**Conclusion:**
If you're passionate about data engineering and customer service, and want to join a team that's revolutionizing the entertainment industry, we encourage you to apply for this exciting opportunity. arenaflex is committed to providing opportunities for career growth and development, with a focus on data engineering and analytics. We prioritize diversity and inclusion, with a focus on creating a welcoming and inclusive work environment. Join our team today and be a part of something amazing!
**How to Apply:**
To apply for this exciting opportunity, please submit your resume and a cover letter outlining your experience and qualifications. We look forward to hearing from you!
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