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 270 million members in 190 countries, we're committed to delivering an exceptional experience for our customers. Our Data Science and Engineering team plays a crucial role in achieving this goal by harnessing the power of data to drive business decisions and improve our product offerings.
In this role, you'll join our team of talented data engineers, software engineers, and business leaders to build reliable, scalable data pipelines, transform raw data into core business metrics, and work with custom visualization tools that surface valuable insights. As a key member of our Customer Service team, you'll collaborate with cross-functional teams to drive business growth, improve customer satisfaction, and inform product development.
**About arenaflex**
arenaflex is a global leader in entertainment services, with a mission to entertain, inform, and inspire audiences around the world. Our commitment to innovation, diversity, and inclusion has enabled us to build a unique culture that values creativity, collaboration, and customer satisfaction. We're proud to be an equal-opportunity employer, celebrating diversity and recognizing that different perspectives and backgrounds help build stronger teams.
**Key Responsibilities**
As an Experienced Full Stack Data Engineer (L5) - Customer Service at arenaflex, you'll be responsible for:
* Collaborating with data engineers, software engineers, and business leaders to design, develop, and maintain reliable, scalable data pipelines that support business growth and customer satisfaction
* Transforming raw data into core business metrics using advanced data modeling skills and expertise in big data technologies (Hive, Presto, Spark, Flink)
* Working with custom visualization tools to surface valuable insights and inform business decisions
* Developing and maintaining advanced SQL skills to ensure data quality and integrity
* Analyzing business problems and prioritizing autonomously to drive business growth and customer satisfaction
* Communicating effectively with analysts, engineers, and business leaders to drive collaboration and results
**Essential Qualifications**
To succeed in this role, you'll need:
* 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 integrity
* 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 cross-functional teams
**Preferred Qualifications**
While not required, the following qualifications would be beneficial:
* Experience with cloud-based data platforms (e.g. AWS, GCP, Azure)
* Familiarity with data visualization tools (e.g. Tableau, Power BI)
* Knowledge of machine learning algorithms and their application in data engineering
* Experience with agile development methodologies and version control systems (e.g. Git)
**Skills and Competencies**
To succeed in this role, you'll need to demonstrate:
* Strong technical skills in data engineering, with a focus on big data technologies and data modeling
* 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
* Adaptability and flexibility, with the ability to learn new technologies and processes quickly
* A customer-centric approach, with a focus on delivering exceptional customer experiences
**Career Growth Opportunities and Learning Benefits**
At arenaflex, we're committed to helping our employees grow and develop their careers. As a Full Stack Data Engineer (L5) - Customer Service, you'll have access to:
* Ongoing training and development opportunities, with a focus on data engineering and related technologies
* Mentorship and coaching from experienced data engineers and business leaders
* Opportunities to work on high-impact projects and contribute to business growth and customer satisfaction
* A collaborative and inclusive work environment, with a focus on diversity, equity, and inclusion
**Work Environment and Company Culture**
arenaflex is a remote-friendly company, with a focus on flexibility and work-life balance. Our company culture values:
* Innovation and creativity, with a focus on delivering exceptional customer experiences
* Diversity, equity, and inclusion, with a commitment to building a diverse and inclusive workplace
* Collaboration and teamwork, with a focus on cross-functional collaboration and communication
* Continuous learning and development, with a focus on ongoing training and professional growth
**Compensation, Perks, and Benefits**
arenaflex offers a comprehensive compensation package, including:
* An annual salary, with a range of $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, with 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off
* Flexible time off, with immediate entitlement for full-time salaried employees
**How to Apply**
If you're passionate about data engineering and customer service, and want to join a dynamic and innovative company, we encourage you to apply for this role. Please submit your resume and a cover letter, highlighting your experience and qualifications. We look forward to hearing from you!
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