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Experienced Full Stack Data Engineer – Customer Service – arenaflex

Remote, USA Full-time Posted 2026-06-17
Job Description

About arenaflex

arenaflex is a leading entertainment services company that has revolutionized the way people consume media. With over 278 million paid memberships in over 190 countries, arenaflex offers a wide variety of TV series, films, and games across multiple genres and languages. Our mission is to deliver an exceptional customer experience, and we're committed to shaping the evolution of storytelling around the world.

The Role

As a Data Engineer (L5) – Customer Service at arenaflex, you'll play a critical role in building reliable, scalable data pipelines that transform raw data into core business metrics. You'll work closely with data engineers, software engineers, and CS business owners to design and develop custom visualization tools that surface CS insights. Your expertise will help us deliver a delightful, efficient customer experience and improve our product based on what our members tell us.

Key Responsibilities

  • Collaborate with data engineers, software engineers, and CS business owners to build reliable, scalable data pipelines that transform raw data into core business metrics.
  • Design and develop custom visualization tools that surface CS insights, using your expertise in data modeling, data engineering, and data visualization.
  • Work with big data technologies (Hive, Presto, Spark, Flink) on medium to large-scale data sets (10s of millions of records) to build efficient and scalable data pipelines.
  • Develop strong data modeling skills to design structures that are adaptable to changes in the source data or business processes.
  • Advocate for data quality and ensure that data pipelines are designed to meet the highest standards of data quality and integrity.
  • Work with analysts, engineers, and business leaders to prioritize business problems and develop metrics that drive business decisions.
  • Develop strong communication and partnership skills to work effectively with cross-functional teams and stakeholders.

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 understanding of data quality and integrity.
  • Analytical aptitude, with the ability to think through business problems and prioritize autonomously.
  • Strong communication and partnership skills, with the ability to work effectively with cross-functional teams and stakeholders.

Preferred Qualifications

  • Experience working with custom visualization tools and data visualization platforms.
  • Experience working with cloud-based data platforms and services (e.g. AWS, GCP, Azure).
  • Experience working with containerization and orchestration tools (e.g. Docker, Kubernetes).
  • Experience working with machine learning and artificial intelligence platforms.
  • Experience working with data governance and data quality frameworks.

Career Growth Opportunities and Learning Benefits

At arenaflex, we're committed to helping our employees grow and develop their careers. We offer a range of learning benefits, including:
  • Access to online training platforms and courses.
  • Opportunities for mentorship and coaching.
  • Regular feedback and performance reviews.
  • Opportunities for career advancement and promotion.

Work Environment and Company Culture

arenaflex is a unique and dynamic work environment that values diversity, inclusion, and collaboration. We're committed to creating a workplace that's inclusive and respectful of all employees, regardless of their background, culture, or identity. Our company culture is built on the following values:
  • Customer obsession: We're committed to delivering an exceptional customer experience.
  • Innovation: We're always looking for new and innovative ways to solve problems and improve our products and services.
  • Collaboration: We believe that collaboration and teamwork are essential to achieving our goals.
  • Ownership: We take ownership of our work and are accountable for our results.
  • Learning: We're committed to learning and growth, and we encourage our employees to take ownership of their development.

Compensation, Perks, and Benefits

arenaflex offers a competitive compensation package that includes:
  • An annual salary, with the option to choose how much of your compensation you want in salary versus stock options.
  • A comprehensive benefits package, including health insurance, mental health support, a 401(k) retirement plan, and more.
  • Flexible time off, with 35 days of paid time off per year.
  • Access to a range of perks and benefits, including a gym membership, meal delivery, and more.

How to Apply

If you're a motivated and talented data engineer who is passionate about delivering exceptional customer experiences, 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

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