Experienced Part-Time Data Engineer – Information Engineering & Analytics Solutions (Remote Available)

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Join arenaflex: Revolutionizing Entertainment Through Data-Driven Innovation

Are you ready to be part of a company that's fundamentally transforming how the world experiences entertainment? At arenaflex, we're not just streaming content – we're revolutionizing an entire industry through technological innovation and data-driven decision-making. With over 200 million paid members across 190+ countries, watching content on countless devices, arenaflex has become the global leader in streaming entertainment. We're reimagining how television series, documentaries, and feature films are produced, delivered, and experienced worldwide.

Our mission goes beyond entertainment – we're pushing the boundaries of what's possible in technology, engineering, and data science. We pride ourselves on using data to inform every decision we make as we work toward our mission of entertaining the world. This commitment to data-driven excellence is where you come in.

About the Role: Part-Time Data Engineer

We are seeking a talented and motivated Part-Time Data Engineer to join our Information Engineering team at arenaflex. In this role, you'll be instrumental in building systems to process data efficiently and modeling data to power analytics that drive our business forward. Your solutions will range from batch data pipelines that bring business metrics to life to real-time processing services that integrate with our core product features.

This is an exciting opportunity for professionals who want to work with big data technologies at web scale while maintaining a healthy work-life balance through part-time hours. You'll collaborate with cross-functional teams including business stakeholders, engineering partners, and data scientists to enable a culture of learning and innovation.

What You'll Do

• Design and Build Data Pipeline Solutions: Create robust, scalable data pipelines that efficiently process massive volumes of data across multiple domains including Growth, Finance, Product, Content, and Studio operations.


• Data Modeling and Architecture: Develop comprehensive data models that power analytics and business intelligence across the organization, ensuring data quality and accessibility.


• Real-Time Processing: Build and maintain real-time processing services that integrate with arenaflex's core product features, enabling instant insights and responsive systems.


• Distributed Systems Expertise: Leverage your understanding of big distributed systems to design and implement data solutions that scale with our growing member base.


• Cross-Functional Collaboration: Work closely with business teams, engineering partners, and data science professionals to understand their data needs and deliver solutions that exceed expectations.


• Code Excellence: Write elegant, maintainable code while picking up new technologies independently as our tech stack evolves.


• Documentation and Debugging: Maintain thorough documentation of data systems and possess strong debugging skills to resolve complex data issues efficiently.


• Continuous Innovation: Help teams push the boundaries of analytical insights, developing new product capabilities using data and powering machine learning models.

What We're Looking For

Essential Qualifications:

• Proficiency in at least one major programming language such as Java, Scala, or Python


• Comfortable working with SQL and database design principles


• Strong background in either distributed data processing or software engineering of data services, or data modeling


• Familiarity with big data technologies like Apache Spark or Apache Flink


• Experience working with web-scale datasets


• Strong attention to detail with excellent data intuition


• Passion for data quality and accuracy


• Appreciation for comprehensive documentation practices


• Strong communication skills to collaborate effectively across teams


• Ability to work independently while also participating actively in team discussions


• Comfortable giving and receiving candid, constructive feedback


• Ability to thrive in a rapidly changing environment with ambiguous requirements


• Nimbleness to take smart risks and adapt to new challenges

Preferred Qualifications:

• Experience with cloud platforms and distributed computing environments


• Background in machine learning pipelines and MLOps practices


• Knowledge of real-time streaming architectures


• Familiarity with data warehousing solutions and ETL processes


• Experience in the media, entertainment, or streaming industry


• Understanding of Agile methodologies and DevOps practices

Skills and Competencies for Success

To excel as a Data Engineer at arenaflex, you should possess a unique blend of technical expertise and interpersonal skills:

• Technical Proficiency: Strong coding skills in at least one programming language with the ability to learn new technologies independently.


• Data Engineering Fundamentals: Deep understanding of data pipeline architecture, ETL processes, and data modeling best practices.


• Big Data Ecosystem: Familiarity with tools like Spark, Flink, Kafka, and other distributed processing frameworks.


• Problem-Solving: Strong analytical mindset with the ability to approach complex data challenges creatively.


• Communication: Ability to translate technical concepts for non-technical stakeholders and collaborate effectively across departments.


• Adaptability: Comfortable working in fast-paced environments where requirements may evolve rapidly.


• Attention to Detail: Meticulous approach to data quality and system reliability.

Work Environment and Culture at arenaflex

At arenaflex, we believe that our culture is one of our greatest competitive advantages. We've built a workplace where innovation thrives, and employees are empowered to do their best work. Our culture is built on several core principles that guide how we operate:

• Freedom and Responsibility: We trust our employees to make smart decisions and take ownership of their work. You'll have the autonomy to approach problems your way while being accountable for outcomes.


• Continuous Learning: We encourage experimentation and learning from both successes and failures. Innovation requires taking risks, and we value employees who embrace this mindset.


• Candid Feedback: We practice giving and receiving honest, constructive feedback. This transparency helps us all grow professionally and personally.


• Collaboration Over Silos: Our work spans multiple domains, and we believe the best solutions come from cross-functional collaboration. You'll work alongside talented professionals from various disciplines.


• Inclusion and Diversity: We're committed to building a diverse workforce and an inclusive environment where every employee feels valued and can do their best work.

As a part-time employee, you'll enjoy flexibility while still being an integral part of our team. We believe in results-oriented work rather than micromanaging hours, allowing you to balance your professional and personal commitments effectively.

Career Growth and Learning Opportunities

Joining arenaflex as a Data Engineer opens doors to extensive professional development and career growth:

• Technical Excellence: Work with cutting-edge technologies at massive scale, solving challenges that few companies face in the industry.


• Learning Culture: Access to training programs, conferences, and mentorship opportunities to enhance your skills.


• Career Pathways: Clear advancement opportunities in technical leadership, specialized data domains, or management tracks.


• Impact at Scale: See your work directly impact hundreds of millions of members worldwide.


• Cross-Functional Exposure: Gain experience working with various teams including Product, Engineering, Finance, Content, and Studio.


• Innovation Time: Opportunities to explore new ideas and technologies that could shape the future of entertainment.

Compensation and Benefits

At arenaflex, we're committed to providing competitive compensation that reflects your skills, experience, and the value you bring to our team. We carefully consider a wide range of compensation factors to determine fair, market-competitive pay. Our compensation philosophy considers:

• Your specific job family and role requirements


• Your professional background and unique skill set


• Years of relevant experience


• Market indicators and industry standards


• Your geographic location and cost of living

Additionally, arenaflex offers a comprehensive benefits package designed to support your well-being and work-life balance, including:

• Competitive hourly rates ranging from $15 to $25 per hour (commensurate with experience)


• Flexible scheduling to support work-life integration


• Health and wellness programs


• Professional development opportunities


• Access to cutting-edge tools and technologies


• Collaborative and innovative team environment

Location Flexibility

We are considering applicants who are located in Mexico City, as well as fully-remote candidates within Mexico. We're committed to finding the best talent regardless of location, and our remote work culture makes this possible.

Join Our Team

If you're passionate about data engineering, thrive in collaborative environments, and want to be part of a company that's changing how the world experiences entertainment, we want to hear from you. At arenaflex, you'll find more than just a job – you'll find a community of innovators, problem-solvers, and dreamers who are passionate about what they do.

We're looking for individuals who relate to and embrace our culture – people who enjoy working independently while also participating actively in team discussions, who are comfortable with ambiguity, and who are excited to take smart risks in pursuit of innovation.

Take the next step in your career and join us in revolutionizing entertainment through the power of data. Apply today and become part of something extraordinary.

Note: arenaflex is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.