Experienced Full Stack Data Engineer – Customer Service – arenaflex

At arenaflex, we're revolutionizing the entertainment industry with our innovative approach to storytelling and customer experience. As a leading entertainment services provider with 283 million paid memberships in over 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. We're looking for an experienced Full Stack Data Engineer to join our Data Science and Engineering team, where you'll play a critical role in building reliable, scalable data pipelines and transforming raw data into core business metrics.

About arenaflex

arenaflex is one of the world's leading entertainment services, with a mission to deliver an incredible customer experience. We're committed to shaping the evolution of storytelling around the world, with over 270 million members in 190 countries. Our Customer Service team is dedicated to resolving issues quickly and thoroughly, and we use data to measure, optimize, and personalize our investments to enable a delightful, efficient experience.

Job Summary

As a Full Stack Data Engineer on our Customer Service 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 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 reliable, scalable data pipelines

• Transform raw data into core business metrics using advanced SQL skills and data modeling techniques
• Work with custom visualization tools to surface CS insights and inform business decisions
• Develop and maintain data quality standards and advocate for data quality across the organization
• Analyze business problems and prioritize autonomously to drive data-driven decision-making
• Communicate effectively with analysts, engineers, and business leaders to ensure seamless collaboration and data-driven insights

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 with cloud-based data platforms, such as AWS or GCP

• Familiarity with data visualization tools, such as Tableau or Power BI
• Experience with agile development methodologies and version control systems, such as Git
• Strong understanding of data governance and data quality principles
• Experience with machine learning and predictive analytics

arenaflex Culture

arenaflex's culture is an integral part of what makes us successful, and we approach diversity and inclusion seriously and thoughtfully. We're an equal-opportunity employer, celebrating diversity and recognizing that bringing together different perspectives and backgrounds helps build stronger teams.

Compensation and Benefits

arenaflex offers a comprehensive compensation package, including an annual salary, with a range of $170,000 - $720,000. You'll also have the opportunity to choose how much of your compensation you want in salary versus stock options. Our benefits package includes:

• Comprehensive health plans
• Mental health support
• 401(k) retirement plan with employer match
• Stock option program
• Disability programs
• Health savings and flexible spending accounts
• Family-forming benefits
• Life and serious injury benefits
• Paid leave of absence programs

Work Environment and Career Growth

As a Full Stack Data Engineer at arenaflex, you'll have the opportunity to work on a wide range of projects, collaborating with a talented team of data engineers, software engineers, and CS business owners. You'll have the chance to develop your skills and expertise, with opportunities for career growth and advancement. Our remote work environment allows you to work from anywhere, with flexible hours and a focus on work-life balance.

How to Apply

If you're passionate about data engineering and customer service, and you're looking for a challenging and rewarding role, we encourage you to apply. Please submit your resume and a cover letter, outlining your experience and qualifications for this role. We're an equal-opportunity employer, and we celebrate diversity and inclusion. Apply for this job