Experienced Full Stack Data Engineer – Customer Service

At arenaflex, we're revolutionizing entertainment and shaping the evolution of storytelling around the world with over 270 million members in 190 countries. Our mission is to deliver an incredible customer experience, and when a member has a problem using arenaflex, we want to quickly and thoroughly resolve their issue and get them back to streaming. As a key member of our Data Science and Engineering (DSE) team, you'll play a critical role in building reliable, scalable data pipelines, transforming raw data into core business metrics, and working with custom visualization tools that surface CS insights.

The Role

In this exciting role, you'll collaborate with data engineers, software engineers, and CS business owners to build and maintain the data infrastructure that powers arenaflex's customer service. You'll be responsible for designing and implementing data pipelines, data modeling, and data visualization to help us better understand our customers and improve their experience. 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 and implement data pipelines, data modeling, and data visualization

• Build 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 CS insights and help inform business decisions
• Develop and maintain advanced SQL skills and advocate for data quality
• Analyze business problems and develop metrics to measure success
• Prioritize autonomously and make data-driven decisions to improve customer experience
• 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, with the ability to think through business problems and prioritize autonomously
• Strong communication and collaboration 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)

• Familiarity with data visualization tools (e.g. Tableau, Power BI)
• Experience working with agile development methodologies
• Strong understanding of data governance and data quality principles
• Experience working with machine learning algorithms and models

arenaflex Culture

arenaflex'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. Our culture is built on a set of core values that include:

• Innovation: We're always looking for new ways to improve and innovate, whether it's through new technologies or new approaches to customer service.
• Collaboration: We believe that the best ideas come from collaboration and teamwork, and we encourage our employees to work together to achieve common goals.
• Customer Obsession: We're obsessed with delivering an incredible customer experience, and we're always looking for ways to improve and exceed our customers' expectations.
• Inclusion: We believe that diversity and inclusion are essential to building a strong and successful team, and we're committed to creating a workplace that's welcoming and inclusive for everyone.

Compensation and Benefits

We offer a comprehensive compensation package that includes:

• Annual Salary: We offer a competitive annual salary, with a range of $170,000 - $720,000, depending on experience and qualifications.
• Stock Options: We offer stock options as part of our compensation package, allowing you to share in the success of arenaflex.
• Benefits: We offer a range of 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 Time Off: We offer 35 days of paid time off per year, which can be used for vacation, holidays, and sick leave.

Why Join arenaflex?

* Make a Difference: As a member of our team, you'll have the opportunity to make a real difference in the lives of our customers, and to help shape the future of entertainment.

• Learn and Grow: We're a company that's always learning and growing, and we're committed to helping our employees develop their skills and careers.
• Work with a Great Team: We're a team of passionate and dedicated professionals who are committed to delivering an incredible customer experience.
• Enjoy a Great Work-Life Balance: We believe in the importance of work-life balance, and we offer a range of benefits and programs to help you achieve it.

How to Apply

If you're a motivated and talented data engineer who is passionate about delivering an incredible customer experience, we'd love to hear from you. Please submit your application, including your resume and a cover letter, to [insert contact information]. We can't wait to hear from you! Apply for this job