Senior Data Engineer – Customer Service Analytics & Big Data Pipeline Development (L5)

About arenaflex

arenaflex is a global leader in delivering world-class entertainment experiences, connecting more than 278 million paid members across over 190 countries to an extraordinary library of TV series, films, and games spanning countless genres and languages. Our members enjoy the freedom to play, pause, and resume their favorite content whenever and wherever they choose, with the flexibility to tailor their subscriptions to their lifestyles. Behind every seamless streaming moment is a sophisticated technology ecosystem powered by data, and at arenaflex, data is the lifeblood of every strategic decision we make. From content personalization to operational optimization, our data infrastructure enables us to serve, delight, and retain a truly global audience.

The Opportunity

arenaflex is revolutionizing the entertainment landscape and shaping the evolution of storytelling around the world. With a member base exceeding 270 million spread across 190 countries, we are committed to delivering an unrivaled customer experience at every touchpoint. When a member encounters an issue, our goal is to resolve it swiftly and thoroughly, getting them back to enjoying the content they love. Customer Service represents one of the few arenas where we hear directly from our members, engaging with millions of them via phone and chat in 25 different languages every single day.

Within our Data Science and Engineering (DSE) division, we harness the power of data to rigorously measure, optimize, and personalize our Customer Service investments. Our mission is to enable a delightful, efficient experience for every member while continuously improving our products based on the invaluable feedback our members share with us. As a Senior Data Engineer on the Customer Service team, you will sit at the intersection of technology, analytics, and customer experience, building the data foundation that drives millions of meaningful interactions each year.

Role Overview

We are seeking an experienced and highly autonomous Senior Data Engineer (L5) to join our Customer Service data team. In this role, you will collaborate closely with data engineers, software engineers, and Customer Service business owners to build reliable, scalable data pipelines, transform raw data into core business metrics, and develop custom visualization tools that surface actionable Customer Service insights across the organization.

Because our team is intentionally small, this role requires a high degree of autonomy, exceptional technical judgment, and the ability to span the entire data stack—from pipeline development and data modeling to metrics design, business analysis, and tooling. If you thrive in environments where ownership, impact, and technical excellence are paramount, this is the role for you.

Key Responsibilities

• Build and maintain scalable data pipelines: Design, develop, and optimize data pipelines using big data technologies such as Hive, Presto, Spark, and Flink, processing tens of millions of records daily.
• Transform raw data into business metrics: Collaborate with analysts and business stakeholders to translate complex business questions into robust, well-modeled data assets that power critical Customer Service metrics and KPIs.
• Design flexible data models: Create adaptable data structures that gracefully accommodate changes in source data schemas, evolving business processes, and new analytical requirements.
• Develop custom visualization tools: Partner with engineers and analysts to build intuitive dashboards and visualization tools that surface Customer Service insights to stakeholders across the company.
• Champion data quality: Advocate for and implement data quality best practices, including validation, monitoring, alerting, and documentation, ensuring the integrity of every dataset that flows through our systems.
• Drive technical excellence: Write clean, supportable, and well-documented code in Python or Scala, contributing to a culture of engineering craftsmanship and continuous improvement.
• Partner cross-functionally: Communicate effectively and build productive partnerships with analysts, software engineers, data scientists, and senior business leaders to drive shared outcomes.
• Operate with autonomy: Prioritize and execute work independently, applying strong analytical aptitude to navigate ambiguous business problems and deliver impactful solutions.

Essential Qualifications

• Extensive big data experience: A minimum of four years engineering data pipelines using big data technologies such as Hive, Presto, Spark, or Flink on medium to large-scale datasets, including experience handling tens of millions of records.
• Strong data modeling skills: Demonstrated ability to design data structures that are adaptable, scalable, and resilient to changes in source data or business processes.
• Programming proficiency: Advanced skills in Python or Scala, with a genuine passion for writing clean, supportable, and maintainable code.
• Advanced SQL expertise: Deep fluency in SQL, with a strong advocacy for data quality, correctness, and performance optimization.
• Analytical aptitude: The ability to think critically through complex business problems such as metrics development, prioritization, and trade-off analysis.
• Autonomy and ownership: A self-directed mindset with the capacity to prioritize work independently and deliver high-impact results in a fast-paced environment.
• Communication and partnership skills: Excellent communication abilities and a track record of productive collaboration with analysts, engineers, and business leaders.

Preferred Qualifications

• Experience working with customer service, contact center, or operational data.
• Familiarity with orchestration frameworks such as Airflow, Dagster, or similar tools.
• Experience building custom data visualization tools or working with BI platforms.
• Exposure to machine learning workflows or experimentation platforms.
• Background working in small, high-impact teams where ownership is paramount.
• Experience supporting global, multi-language operations or working with international data.

Skills and Competencies for Success

Beyond technical expertise, the ideal candidate will demonstrate:

• Systems thinking: The ability to see the big picture while sweating the details, understanding how individual components contribute to broader business outcomes.
• Curiosity and continuous learning: A growth mindset and a passion for staying current with evolving data technologies and industry best practices.
• Bias for action: A pragmatic, results-oriented approach to problem-solving with the judgment to balance speed and quality.
• Collaborative leadership: The ability to influence without authority and build trust across diverse teams and functions.
• Member obsession: A genuine commitment to improving the customer experience through data-driven insights.

Career Growth and Learning Opportunities

At arenaflex, your growth is limited only by your ambition. As a Senior Data Engineer (L5), you will have unparalleled opportunities to expand your technical and business acumen, working alongside some of the brightest minds in data science and engineering. You will gain deep exposure to the inner workings of a global Customer Service organization, develop expertise in metrics design and operational analytics, and hone your ability to influence strategic decisions at the highest levels of the company. Whether you aspire to deepen your technical specialization, transition into management, or explore adjacent areas like data science or product analytics, arenaflex provides the environment, mentorship, and opportunities to help you achieve your career goals.

Work Environment and Culture at arenaflex

The arenaflex culture is an integral part of what makes us successful, and we approach it with intention and care. We are a remote-first organization that values freedom, responsibility, and impact. We hire outstanding people and trust them to do their best work, without the constraints of rigid policies or excessive process. Our culture celebrates diversity of thought, background, and perspective, recognizing that bringing together different viewpoints helps build stronger teams and drives better outcomes.

We are deeply committed to fostering an inclusive environment where every team member feels valued, respected, and empowered to contribute fully. 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.

Compensation Philosophy

arenaflex's compensation structure consists solely of an annual salary; we do not offer discretionary bonuses. Each year, you choose how much of your compensation you want in salary versus stock options, allowing you to tailor your package to your personal financial goals. To determine your personal top-of-market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine where you fall within the market range. The compensation range for this role is $170,000 to $720,000 annually.

Comprehensive Benefits

arenaflex provides a comprehensive benefits package designed to support your health, well-being, and financial future, including:

• Health Plans: Comprehensive medical, dental, and vision coverage.
• Mental Health Support: Access to resources and programs that support your mental and emotional well-being.
• 401(k) Retirement Plan: With a generous employer match to help you build long-term financial security.
• Stock Option Program: The opportunity to share in arenaflex's long-term success.
• Disability Programs: Short-term and long-term disability coverage.
• Health Savings and Flexible Spending Accounts: Tax-advantaged accounts to help you manage healthcare and dependent care expenses.
• Family-Forming Benefits: Support for growing your family, including parental leave and family planning resources.
• Life and Serious Injury Benefits: Financial protection for you and your loved ones.
• Paid Leave of Absence Programs: Comprehensive support when you need time away from work.

Full-time hourly employees accrue 35 days annually for paid time off, which can be used for vacation, holidays, and sick time. Full-time salaried employees, including this role, are immediately entitled to flexible time off, empowering you to manage your work-life balance in the way that works best for you.

Equal Opportunity Employer

arenaflex is an equal-opportunity employer and celebrates diversity, recognizing that bringing together different perspectives and backgrounds helps build stronger teams. We approach diversity and inclusion seriously and thoughtfully, understanding that our differences make us stronger and our work better.

Apply Today

If you are a seasoned data engineer with a passion for building scalable systems, a knack for translating complex data into actionable insights, and a desire to make a meaningful impact on the customer experience for hundreds of millions of members worldwide, we want to hear from you. Join arenaflex and help us shape the future of entertainment while building the data foundation that powers one of the most beloved customer service operations in the world. Bring your expertise, your curiosity, and your ambition—and let’s build something extraordinary together.

This position is open for no less than seven days and will be removed once the role is filled. We encourage you to apply early to ensure full consideration.