Experienced Full Stack Data Engineer – Customer Service (L5) at arenaflex

Job Summary:

Join arenaflex, a global leader in entertainment services, as a highly skilled Full Stack Data Engineer in our Customer Service team. As a key member of our Data Science and Engineering (DSE) team, you will play a pivotal role in building reliable, scalable data pipelines, transforming raw data into core business metrics, and working with custom visualization tools to surface CS insights. With a strong focus on delivering an incredible customer experience, we are looking for a talented data engineer to collaborate with our team to drive business growth and innovation.

About arenaflex:

arenaflex is one of the world's leading entertainment services, with over 278 million paid memberships in over 190 countries. We are revolutionizing entertainment and shaping the evolution of storytelling around the world. Our mission is to deliver an incredible customer experience, and we are committed to using 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.

The Role:

As a Full Stack Data Engineer in our Customer Service team, you will be responsible for building and maintaining complex data pipelines, transforming raw data into actionable business insights, and working with custom visualization tools to surface CS insights. You will collaborate with data engineers, software engineers, and CS business owners to drive business growth and innovation. 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 build reliable, scalable data pipelines

• Transform raw data into core business metrics using big data technologies (Hive, Presto, Spark, Flink)
• Work with custom visualization tools to surface CS insights and drive business growth
• Design and implement data models that are adaptable to changes in the source data or business processes
• Develop and maintain complex data pipelines using Python or Scala
• Collaborate with analysts, engineers, and business leaders to drive business growth and innovation
• Analyze business problems and prioritize autonomously to drive business growth and innovation

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 to think through business problems (e.g. metrics development) and prioritize autonomously
• Strong communication and productive partnership with analysts, engineers, and business leaders

Preferred Qualifications:

* Experience working with custom visualization tools to surface CS insights

• Experience collaborating with data engineers, software engineers, and CS business owners to drive business growth and innovation
• Experience working with big data technologies (Hive, Presto, Spark, Flink) on medium to large-scale data sets (10s of millions of records)
• Experience designing and implementing data models that are adaptable to changes in the source data or business processes
• Experience developing and maintaining complex data pipelines using Python or Scala

Skills and Competencies:

* Strong technical skills in data engineering, including experience with big data technologies (Hive, Presto, Spark, Flink)

• Strong analytical skills, with the ability to think through business problems and prioritize autonomously
• Strong communication and collaboration skills, with the ability to work with analysts, engineers, and business leaders
• Strong problem-solving skills, with the ability to design and implement data models that are adaptable to changes in the source data or business processes
• Strong passion for writing clean, supportable code, with a strong proficiency in Python or Scala

Career Growth Opportunities and Learning Benefits:

* arenaflex is committed to providing opportunities for career growth and development, with a focus on helping our employees achieve their career goals

• Our comprehensive training program includes training in data engineering, big data technologies, and custom visualization tools
• Our collaborative work environment provides opportunities for collaboration and knowledge-sharing with other data engineers, software engineers, and CS business owners
• Our commitment to diversity and inclusion provides opportunities for growth and development in a diverse and inclusive work environment

Work Environment and Company Culture:

* arenaflex is a remote-friendly company, with a flexible work environment that allows employees to work from anywhere

• Our company culture is built on a foundation of diversity, inclusion, and collaboration, with a focus on delivering an incredible customer experience
• Our commitment to diversity and inclusion provides opportunities for growth and development in a diverse and inclusive work environment
• Our comprehensive benefits package includes 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

Compensation and Benefits:

* arenaflex offers a competitive salary range of $170,000 - $720,000, with a focus on providing a market-competitive compensation package

• Our comprehensive benefits package includes 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
• Our flexible work environment provides opportunities for work-life balance, with a focus on delivering an incredible customer experience

How to Apply:

If you are a highly skilled Full Stack Data Engineer with a passion for delivering an incredible customer experience, we encourage you to apply for this exciting opportunity. Please submit your resume and cover letter to [insert contact information]. We look forward to hearing from you!

Equal Opportunity Employer:

arenaflex is an equal-opportunity employer, committed to diversity and inclusion. We celebrate diversity, recognizing that bringing together different perspectives and backgrounds helps build stronger teams. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Apply for this job