Part‑Time Data Entry & Data Engineering Support Specialist – Remote, Flexible Hours, $15‑$25/hr at arenaflex

About arenaflex – Pioneering Entertainment at Scale

arenaflex is redefining how the world experiences entertainment. With more than 200 million paid members across 190+ countries, we deliver a vast library of series, documentaries, movies, and original content to millions of devices every day. Our mission is to inspire and delight audiences by providing seamless, high‑quality streaming experiences, while constantly pushing the boundaries of technology, data, and creativity.

At arenaflex, data is the engine that powers every decision—from content acquisition to personalized recommendations. Our Data Engineering teams build the pipelines, platforms, and tools that turn raw information into actionable insights, enabling the company to stay ahead in a fast‑moving industry.

Role Overview – Part‑Time Data Entry & Data Engineering Support

We are seeking a motivated, detail‑oriented individual to join our Data Engineering organization on a part‑time basis. In this role, you will support the collection, curation, and initial processing of data that fuels our analytics ecosystem. While the position is part‑time (approximately 8 hours per week), you will work alongside seasoned data engineers, product managers, and analysts, gaining exposure to cutting‑edge big‑data technologies and real‑world streaming workloads.

This opportunity is ideal for candidates who enjoy writing clean code, learning new tools independently, and contributing to a collaborative, high‑impact environment.

Key Responsibilities

• Data Ingestion & Validation: Assist in importing raw data from various sources (e.g., content metadata, user interaction logs, financial reports) into our data lake, ensuring accuracy and completeness.
• Pipeline Maintenance: Monitor and troubleshoot batch and streaming pipelines built on Spark, Flink, or similar frameworks, escalating issues to senior engineers when necessary.
• SQL Development: Write, test, and optimize SQL queries for data extraction, transformation, and reporting needs across multiple business domains.
• Documentation & Metadata: Create clear documentation for data sources, schema changes, and pipeline processes to support knowledge sharing and compliance.
• Collaboration: Partner with product, finance, and content teams to understand data requirements, translate business questions into technical solutions, and deliver reliable data products.
• Quality Assurance: Perform data quality checks, develop automated tests, and contribute to continuous improvement of data reliability.
• Learning & Innovation: Stay current with emerging data technologies, propose enhancements, and participate in internal tech talks and hackathons.

Essential Qualifications

• Proficiency in at least one major programming language (Java, Scala, or Python) and comfortable working with SQL.
• Demonstrated experience with data processing concepts, such as ETL, batch pipelines, or real‑time streaming.
• Familiarity with large‑scale data platforms (e.g., Apache Spark, Apache Flink) and the ability to work with web‑scale datasets.
• Strong analytical mindset, attention to detail, and a passion for turning raw data into meaningful insights.
• Excellent written and verbal communication skills; ability to convey technical concepts to non‑technical stakeholders.
• Self‑starter attitude with the ability to learn new technologies independently and manage time effectively in a remote setting.

Preferred Qualifications

• Experience in a data‑focused role within the entertainment, media, or streaming industry.
• Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Exposure to data modeling, schema design, and data warehousing best practices.
• Familiarity with version control systems (Git) and collaborative development workflows.
• Prior involvement in open‑source projects or contributions to data‑engineering communities.

Core Skills & Competencies

• Technical Acumen: Ability to write clean, maintainable code and debug complex data pipelines.
• Problem‑Solving: Proactive approach to identifying root causes and implementing effective solutions.
• Collaboration: Comfortable working in cross‑functional teams, sharing knowledge, and giving/receiving candid feedback.
• Adaptability: Thrive in a fast‑changing environment with ambiguous requirements, making smart, data‑driven decisions.
• Documentation Discipline: Commitment to thorough documentation and data‑quality best practices.

Career Growth & Learning Opportunities

arenaflex invests heavily in the professional development of its employees. As a part‑time team member, you will have access to:

• Mentorship from senior data engineers and architects.
• Internal training programs covering big‑data technologies, cloud services, and machine‑learning fundamentals.
• Opportunities to transition to full‑time roles or explore other data‑centric positions within the organization.
• Participation in company‑wide hackathons, tech talks, and innovation challenges.

Compensation, Perks & Benefits

arenaflex offers a competitive hourly rate ranging from $15 to $25, calibrated to your experience, location, and skill set. In addition to base pay, part‑time contributors may receive:

• Flexible remote work arrangements.
• Access to the arenaflex employee resource library, including courses on data engineering, cloud platforms, and leadership.
• Discounted subscription to arenaflex streaming services for personal enjoyment.
• Opportunities to earn performance‑based bonuses and recognition awards.

Work Environment & Culture at arenaflex

Our culture is built on freedom, responsibility, and a relentless focus on impact. We value:

• Transparency: Open communication channels and data‑driven decision making.
• Innovation: Encouragement to experiment, fail fast, and iterate.
• Inclusivity: A diverse workforce where every voice is heard and respected.
• Work‑Life Balance: Flexible schedules that empower you to deliver your best work without sacrificing personal commitments.

Whether you are based in Mexico City or working remotely from anywhere in Mexico, you will find a supportive community that celebrates curiosity and continuous learning.

Application Process

Our hiring journey is straightforward and candidate‑friendly. It typically includes:

• Initial screening call to discuss your background and motivations.
• Technical interview focusing on coding, SQL, and data‑pipeline concepts.
• Culture fit interview to explore how your values align with arenaflex’s principles.
• Final discussion with the hiring manager to clarify role expectations and growth pathways.

We encourage you to prepare by reviewing common interview questions such as “Tell me about yourself,” “Why do you want to work at arenaflex?” and “Describe a challenging data problem you solved.” Demonstrating curiosity, problem‑solving ability, and a collaborative mindset will set you apart.

Ready to Join arenaflex?

If you are passionate about data, eager to contribute to a world‑class entertainment platform, and thrive in a flexible, part‑time setting, we want to hear from you. Apply today and become part of a team that turns data into delightful experiences for millions of viewers worldwide.

Apply Now – Start Your Journey with arenaflex!