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Experienced Full Stack Data Engineer – Customer Service – arenaflex

Remote · USA Full-time New today

At arenaflex, we're revolutionizing the way people consume entertainment, and we're looking for a talented Data Engineer to join our Data Science and Analytics team. As a key member of our team, you'll play a crucial role in building reliable, scalable data pipelines, transforming raw data into core business metrics, and working with custom visualization tools that surface critical insights for our Customer Service team.

About arenaflex

arenaflex is one of the world's leading entertainment services, with over 283 million paid memberships in over 190 countries. We're committed to delivering an incredible customer experience, and our Customer Service team is at the forefront of this effort. With millions of customers interacting with us via phone and chat in 25 different languages, we're constantly seeking innovative ways to measure, optimize, and personalize our Customer Service investments.

The Role

As a Data Engineer on our Customer Service team, you'll collaborate with data engineers, software engineers, and CS business owners to build and maintain our data infrastructure. Your primary responsibilities will include:

  • Designing and developing reliable, scalable data pipelines using big data technologies (Hive, Presto, Spark, Flink) on medium to large-scale data sets (10s of millions of records)
  • Transforming raw data into core business metrics and working with custom visualization tools to surface critical insights for our Customer Service team
  • Collaborating with analysts, engineers, and business leaders to prioritize and drive business outcomes
  • Developing and maintaining data models that are adaptable to changes in the source data or business processes
  • Advocating for data quality and ensuring that our data pipelines are robust and scalable
  • Communicating complex technical concepts to non-technical stakeholders and working collaboratively with cross-functional teams

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 with agile development methodologies and version control systems (e.g. Git)
  • Strong understanding of data governance and data quality principles
  • Experience working with large-scale data sets and distributed computing environments

arenaflex Culture

At arenaflex, we're committed to creating a culture that values diversity, inclusion, and innovation. We believe that our differences are what make us stronger, and we're dedicated to fostering an environment that's inclusive and supportive of all employees. Our compensation structure consists solely of an annual salary, and we offer comprehensive benefits, including health plans, mental health support, a 401(k) retirement plan, and stock option program.

Compensation and Benefits

The salary range for this role is $170,000 - $720,000, and we offer a comprehensive benefits package, including:

  • 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

Career Growth Opportunities

At arenaflex, we're committed to helping our employees grow and develop their careers. We offer a range of training and development programs, including:

  • Regular training sessions and workshops on data engineering, data science, and related topics
  • Opportunities to work on high-impact projects and contribute to the development of our data infrastructure
  • Mentorship programs and peer-to-peer learning opportunities
  • Career development planning and support

Work Environment

arenaflex is a remote-friendly company, and this role can be performed from anywhere in the world. We're committed to creating a work environment that's inclusive and supportive of all employees, and we offer a range of tools and resources to help you stay connected and productive.

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 explaining why you're the ideal candidate for this role. We can't wait to hear from you! Apply Now! Apply for this job

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