Senior Data Engineer – Customer Service Analytics & Scalable Data Pipeline Development (Level 5)

About arenaflex – Pioneering Entertainment at Scale

arenaflex is a global leader in streaming entertainment, delivering a diverse library of TV series, movies, documentaries, and interactive experiences to hundreds of millions of members across more than 190 countries. With a relentless focus on storytelling, technology, and member satisfaction, arenaflex has built a platform that lets users play, pause, and resume content anytime, anywhere, and switch plans with a single click. Our mission is to turn every viewing moment into a personalized, friction‑free experience, and our Customer Service organization sits at the heart of that mission, hearing directly from members in 25 languages via phone, chat, and emerging channels.

Why This Role Matters

In the Data Science & Engineering (DSE) umbrella, we harness data to measure, optimize, and personalize every facet of the Customer Service journey. As a Senior Data Engineer, you will be the architect of the data pipelines that turn raw interaction logs into actionable business metrics, empowering product teams, analysts, and service leaders to make data‑driven decisions that delight members and drive operational efficiency.

Role Overview

This position sits at the intersection of engineering, analytics, and business strategy. You will work closely with data engineers, software engineers, product owners, and senior business stakeholders to design, build, and maintain robust data pipelines that support real‑time and batch analytics for Customer Service. The team is small and high‑performing, which means you will enjoy a high degree of autonomy, ownership, and the opportunity to influence the entire data stack—from ingestion to visualization.

Key Responsibilities

• Design and implement scalable data pipelines using big‑data technologies such as Hive, Presto, Spark, and Flink to process tens of millions of records daily.
• Develop and maintain data models that are flexible enough to adapt to evolving source schemas and changing business requirements.
• Write clean, production‑ready code in Python or Scala, adhering to best practices for testing, documentation, and code review.
• Collaborate with analysts and product owners to translate business questions into reliable metrics and dashboards.
• Build and enhance custom visualization tools that surface key Customer Service insights to non‑technical stakeholders.
• Champion data quality by implementing validation frameworks, monitoring pipelines, and establishing data governance standards.
• Provide technical mentorship to junior engineers and contribute to the continuous improvement of engineering processes.
• Participate in cross‑functional architecture reviews to ensure data solutions align with broader arenaflex technology strategy.
• Drive performance optimization by profiling workloads, tuning queries, and leveraging cost‑effective cloud resources.
• Own end‑to‑end incident response for data pipeline failures, ensuring rapid resolution and post‑mortem analysis.

Essential Qualifications

• Minimum 4 years of hands‑on experience building data pipelines with big‑data tools (Hive, Presto, Spark, Flink) on medium‑to‑large scale datasets (tens of millions of records).
• Proven data modeling expertise, with a track record of designing adaptable schemas that support evolving business logic.
• Strong proficiency in Python or Scala, with a passion for writing maintainable, well‑documented code.
• Advanced SQL skills and a commitment to data quality, including experience with data validation and testing frameworks.
• Demonstrated analytical ability to translate ambiguous business problems into concrete metrics and data solutions.
• Excellent communication skills and a collaborative mindset, enabling productive partnerships with analysts, engineers, and senior leaders.

Preferred Qualifications

• Experience with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker).
• Familiarity with streaming data architectures and real‑time analytics frameworks.
• Background in customer service or contact‑center analytics, understanding key performance indicators such as First Contact Resolution, Net Promoter Score, and churn prediction.
• Exposure to machine learning pipelines and feature engineering for predictive modeling.
• Track record of influencing product roadmaps through data‑driven insights.

Core Skills & Competencies

• Technical Judgment: Ability to evaluate trade‑offs between performance, cost, and maintainability.
• Problem Solving: Strong logical reasoning to troubleshoot complex data issues.
• Collaboration: Comfortable working in a fast‑paced, cross‑functional environment.
• Ownership: Proactive in identifying gaps, proposing solutions, and driving them to completion.
• Continuous Learning: Eagerness to stay current with emerging data technologies and industry best practices.

Career Growth & Learning Opportunities

arenaflex invests heavily in the professional development of its employees. As a Senior Data Engineer, you will have access to:

• Mentorship programs with senior leaders in data science, engineering, and product management.
• Annual learning budgets for conferences, certifications, and advanced coursework.
• Opportunities to lead high‑visibility projects that directly impact millions of members worldwide.
• Rotational assignments across different data domains (e.g., recommendation systems, content delivery, fraud detection) to broaden your expertise.
• Clear promotion pathways to Staff Engineer, Principal Engineer, or Data Architecture leadership roles.

Work Environment & Culture at arenaflex

arenaflex fosters a culture of freedom and responsibility. Our teams operate with minimal bureaucracy, encouraging bold ideas and rapid experimentation. Diversity and inclusion are core to our identity; we believe that a wide range of perspectives fuels innovation and creates a richer member experience. You will join a collaborative, high‑performing team that values transparency, continuous feedback, and a growth mindset.

Compensation, Perks & Benefits

We offer a competitive, market‑aligned compensation package that includes:

• A flexible annual salary ranging from $170,000 to $720,000, with the ability to allocate a portion toward stock options.
• Comprehensive health coverage (medical, dental, vision) and mental health resources.
• Generous retirement plans, including a 401(k) with employer match.
• Stock Option Program that aligns your success with the company’s long‑term growth.
• Disability, life, and serious injury insurance.
• Family‑forming benefits, parental leave, and flexible time‑off policies (35 days PTO for hourly staff; unlimited PTO for salaried staff).
• Wellness programs, employee assistance services, and a vibrant internal community focused on learning and inclusion.

How to Apply

If you are passionate about turning raw data into strategic insights that improve the lives of millions of members, we want to hear from you. Click the link below to submit your application and become part of arenaflex’s data‑driven journey.

Apply Job!

Join arenaflex and Shape the Future of Entertainment

At arenaflex, your work will directly influence how members experience storytelling on a global scale. By building reliable, high‑impact data pipelines, you will empower teams to resolve customer issues faster, personalize interactions, and continuously refine the product based on real‑world feedback. If you thrive in an environment that rewards autonomy, technical excellence, and collaborative problem‑solving, this is the opportunity you’ve been waiting for.

Take the next step in your career—apply today and help us deliver unforgettable entertainment experiences to every corner of the world.