Remote Part‑Time Data Entry Specialist – $30/hr – Join arenaflex’s Global Entertainment Data Team

About arenaflex – Pioneering the Future of Digital Entertainment

arenaflex is a world‑leading streaming and interactive entertainment platform that reaches audiences in more than 190 countries and supports over 220 million paid subscribers. With a portfolio that now includes original series, movies, documentaries, and an expanding suite of gaming experiences, arenaflex is redefining how people discover, enjoy, and interact with content. Our mission is to bring joy to every screen, and we achieve that by leveraging cutting‑edge data‑driven technologies that power personalized recommendations, seamless playback, and innovative product experiences.

Why This Role Matters

Data is the lifeblood of arenaflex. Every click, view, and interaction generates valuable insights that help us refine our content library, improve user experience, and drive strategic decisions across the organization. As a Remote Part‑Time Data Entry Specialist, you will be a critical member of the Data Infrastructure Teams, ensuring that the massive volumes of data flowing through our systems are accurately captured, validated, and ready for analysis. Your meticulous attention to detail will directly influence the quality of the insights that shape the future of entertainment for millions worldwide.

Role Overview

This position is fully remote, offering flexible 8‑hour shifts that can be scheduled to fit your lifestyle. You will work closely with engineers, product managers, and data scientists to support a variety of data pipelines, from ingestion to transformation and storage. While the title emphasizes “data entry,” the role expands into data validation, quality assurance, and collaboration on data‑platform initiatives that keep arenaflex’s infrastructure reliable, scalable, and future‑ready.

Key Responsibilities

• Accurately input, verify, and maintain large volumes of structured and semi‑structured data across multiple internal platforms.
• Perform routine data quality checks, flagging inconsistencies, duplicates, or missing values for remediation.
• Collaborate with the Data Ingestion Team to ensure smooth onboarding of new data sources, adhering to sub‑millisecond latency requirements.
• Assist in the documentation of data schemas, transformation rules, and validation procedures to support knowledge sharing across teams.
• Participate in regular audits of data pipelines, providing feedback that helps improve automation, reliability, and performance.
• Support the Data Platform Foundation group by contributing to shared tooling, libraries, and best‑practice guidelines.
• Engage with open‑source communities when appropriate, helping to align arenaflex’s internal tools with industry standards.
• Provide timely updates to stakeholders on data entry progress, issues encountered, and resolution status.
• Continuously learn and adopt new data‑management technologies such as Kafka, Flink, Druid, Presto/Trino, and distributed storage solutions.

Essential Qualifications

• Minimum Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field.
• At least 2 years of hands‑on experience working with large‑scale distributed systems or data‑intensive applications.
• Proficiency in at least one programming language commonly used for data work (e.g., Java, Python, Scala).
• Demonstrated ability to design, develop, and maintain RESTful web services or APIs.
• Strong analytical mindset with a proven track record of solving complex data‑quality problems.
• Excellent written and verbal communication skills, capable of articulating technical concepts to non‑technical audiences.
• Self‑motivated and comfortable working independently in a fully remote environment.

Preferred Qualifications

• Experience with cloud‑native data platforms (AWS, GCP, or Azure) and familiarity with distributed storage technologies.
• Hands‑on exposure to streaming frameworks such as Apache Kafka, Apache Flink, or similar.
• Knowledge of query engines like Presto, Trino, or Druid, and experience optimizing query performance.
• Prior involvement in open‑source projects or contributions to community‑driven libraries.
• Understanding of data governance, security, and compliance best practices.
• Ability to work across multiple time zones and coordinate with global teams.

Core Skills & Competencies

• Detail‑Oriented Execution: Precision in data entry and validation to maintain the highest data integrity standards.
• Problem‑Solving Acumen: Ability to diagnose data anomalies, propose corrective actions, and implement solutions quickly.
• Collaboration & Communication: Strong teamwork skills, comfortable interacting with engineers, product owners, and data scientists.
• Technical Curiosity: Eagerness to explore emerging data technologies and apply them to real‑world challenges.
• Adaptability: Flexibility to shift priorities in a fast‑moving environment while meeting deadlines.
• Ownership Mentality: Taking responsibility for the quality of data pipelines and continuously seeking improvement.

Career Growth & Learning Opportunities

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

• Mentorship from senior data engineers and architects who guide you through complex system designs.
• Internal training programs covering cloud platforms, distributed systems, and advanced data engineering concepts.
• Opportunities to transition into full‑time data engineering, analytics, or product roles as you demonstrate expertise.
• Participation in internal hackathons and innovation sprints that encourage creative problem‑solving.
• Conference sponsorships and access to industry events focused on big data, streaming, and open‑source technologies.

Work Environment & Culture at arenaflex

Our culture is built on the pillars of inclusion, curiosity, and impact. Whether you are working from a home office, a co‑working space, or a coffee shop, you will be part of a globally distributed team that values:

• Transparency: Open communication channels, regular all‑hands meetings, and clear visibility into company goals.
• Innovation: Encouragement to experiment, prototype, and share findings with the broader organization.
• Diversity & Inclusion: A commitment to building a workforce that reflects the audiences we serve.
• Work‑Life Balance: Flexible scheduling, generous paid time off, and a supportive environment for remote work.
• Recognition: Programs that celebrate individual and team achievements, reinforcing a sense of purpose.

Compensation, Perks & Benefits

arenaflex offers a competitive hourly rate of $30 per hour for this part‑time role, along with a comprehensive benefits package that includes:

• Health, dental, and vision insurance options.
• Retirement savings plans with company matching contributions.
• Paid parental leave and family‑friendly policies.
• Access to a global library of learning resources, including Coursera, Udemy, and internal workshops.
• Employee assistance programs, wellness stipends, and virtual fitness classes.
• Opportunities for performance‑based bonuses and career advancement.

How to Apply

If you are passionate about data, thrive in a remote setting, and want to contribute to a world‑class entertainment platform, we want to hear from you. Click the link below to submit your application and start your journey with arenaflex.

Apply Now – Remote Part‑Time Data Entry Specialist

Join arenaflex and Shape the Future of Entertainment

At arenaflex, every piece of data you touch helps power the stories, games, and experiences that captivate millions every day. By ensuring that our data pipelines are accurate, reliable, and scalable, you become an essential part of a mission that goes beyond technology—it’s about connecting people to the moments they love. Take the next step in your career and become a valued member of our data‑driven community.

We look forward to reviewing your application and exploring how your talents can help us continue to innovate and delight audiences worldwide.