At arenaflex, we're revolutionizing the entertainment industry with our innovative approach to storytelling and customer experience. As a leading entertainment services provider, we're committed to delivering an exceptional experience to our 283 million paid members across 190 countries. Our Customer Service team is at the forefront of this effort, engaging with millions of members via phone and chat in 25 different languages. Within Data Science and Engineering (DSE), we harness the power of data to measure, optimize, and personalize our Customer Service investments, driving a delightful and efficient experience for our members.
**Join arenaflex's Data Science & Analytics team as a Full Stack Data Engineer – Customer Service (L5)**
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. This is a unique opportunity to leverage your technical expertise and passion for data engineering to drive business growth and customer satisfaction.
**Key Responsibilities:**
* Collaborate with data engineers, software engineers, and CS business owners to design, develop, and maintain data pipelines that support customer service operations
* Develop and maintain data models that are adaptable to changes in source data or business processes
* Design and implement data pipelines using big data technologies (Hive, Presto, Spark, Flink) on medium to large-scale data sets (10s of millions of records)
* Work with custom visualization tools to surface CS insights and inform business decisions
* Develop and maintain advanced SQL skills and advocate for data quality
* Analyze business problems and develop metrics to measure customer service performance
* Collaborate with analysts, engineers, and business leaders to prioritize and implement data-driven solutions
**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 experience designing 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 strong advocate for data quality
* 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 warehousing and ETL processes
* Experience with data visualization tools (e.g. Tableau, Power BI)
* Strong understanding of data governance and data quality principles
* Experience working in a fast-paced, agile environment
**arenaflex Culture:**
At arenaflex, we're committed to fostering a culture of diversity, equity, and inclusion. We believe that our differences are what make us stronger, and we're dedicated to creating a workplace where everyone feels welcome and valued. We're an equal-opportunity employer and celebrate diversity, recognizing that bringing together different perspectives and backgrounds helps build stronger teams.
**Compensation and Benefits:**
arenaflex offers a comprehensive compensation package, including:
* Annual salary: $170,000 - $720,000
* 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, including vacation, holidays, and sick paid time off
* Flexible time off for full-time salaried employees
**Why Join arenaflex?**
* Be part of a dynamic and innovative team that's revolutionizing the entertainment industry
* Collaborate with talented professionals who share your passion for data engineering and customer service
* Enjoy a comprehensive compensation package and benefits that support your well-being and career growth
* Contribute to a culture of diversity, equity, and inclusion that values your unique perspectives and experiences
**How to Apply:**
If you're a motivated and experienced Full Stack Data Engineer looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter that highlights your relevant experience and qualifications. We can't wait to hear from you!
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