About careerzynith: Powering the Future of Entertainment Through Data

At careerzynith, we are on a bold mission to transform how the world experiences entertainment. With over two hundred million paid members spanning more than 190 countries and accessing our content library on hundreds of thousands of devices, careerzynith has become a global leader in streaming television series, documentaries, and feature films across virtually every genre and language imaginable. We are not simply participating in the entertainment revolution; we are reinventing entertainment from end to end, rewriting the rules of how stories are discovered, produced, delivered, and enjoyed.

Our ambitious vision extends far beyond content creation. We are revolutionizing the way shows and movies are produced, pushing technological boundaries to deliver streaming video at a massive scale over the internet, and continuously refining the end-to-end consumer experience throughout every touchpoint of the member journey. At careerzynith, innovation is not a department — it is the cultural heartbeat of our entire organization. Every line of code, every data pipeline, and every analytical insight contributes to a singular goal: delivering magical entertainment experiences to a global audience.

We take immense pride in our data-driven culture. Every strategic decision, every product enhancement, and every creative investment at careerzynith is informed by rigorous data analysis. This requires curating, processing, and modeling data across numerous critical domains, including subscriber growth, financial performance, product engagement, content strategy, and studio operations. All of this sophisticated data collection and curation is made possible by the exceptional team of data professionals who bring this information to life every single day.

The Opportunity: Part-Time Data Engineering Specialist

Information Engineering at careerzynith is far more than a technical role — it is a position that sits at the intersection of technology, business strategy, and creative storytelling. As a Part-Time Data Engineering Specialist, you will be responsible for building robust systems to process data efficiently and modeling information to power analytics that influence decisions affecting hundreds of millions of members worldwide.

Your solutions may range from sophisticated batch data pipelines that bring to life critical business metrics to real-time processing services that integrate seamlessly with our core product features. You will work on systems that handle petabytes of data, supporting everything from content recommendation algorithms to financial forecasting models. To excel in this role, you will need a rich understanding of large distributed systems on which our data solutions depend. We expect our engineers to have knowledge across several of these skill areas and to be deep in at least one.

Beyond technical expertise, strong communication skills are absolutely essential. You will collaborate extensively with business stakeholders, software engineering teams, and data science groups to foster a culture of learning, experimentation, and data-informed decision-making throughout the organization. This part-time position offers flexible scheduling, making it ideal for professionals seeking meaningful work with a flexible commitment, students pursuing advanced degrees, parents returning to the workforce, or experienced engineers looking to maintain work-life balance while contributing to cutting-edge projects.

Work Location: We are considering candidates located in Mexico City as well as fully-remote candidates within Mexico. This role offers complete flexibility to work from home, allowing you to structure your schedule around your most productive hours while remaining deeply connected to the team through virtual collaboration tools.

Key Responsibilities

• Design and Build Data Pipelines: Develop, implement, and maintain scalable data processing systems that efficiently handle web-scale datasets, transforming raw data into structured, queryable formats that power business intelligence and analytics across careerzynith.
• Model Complex Data Structures: Create robust data models that accurately represent business processes, member behaviors, content performance, and operational metrics, enabling stakeholders to derive meaningful insights and make data-informed decisions.
• Develop Real-Time Processing Services: Build streaming data solutions that integrate directly with core product features, supporting real-time personalization, recommendation systems, and member engagement initiatives that define the careerzynith experience.
• Collaborate Across Teams: Partner closely with business analysts, product managers, software engineers, and data scientists to understand requirements, translate business questions into technical solutions, and ensure data quality throughout the pipeline lifecycle.
• Optimize Distributed Systems: Continuously monitor, troubleshoot, and enhance the performance of large-scale distributed data systems, identifying bottlenecks and implementing solutions that improve reliability, reduce latency, and lower operational costs.
• Champion Data Quality: Establish and enforce data quality standards, implementing validation checks, monitoring frameworks, and documentation practices that ensure the integrity of information flowing through careerzynith systems.
• Document Technical Solutions: Create comprehensive technical documentation, runbooks, and knowledge-sharing materials that enable team members, stakeholders, and future engineers to understand, maintain, and extend the data infrastructure.
• Support Machine Learning Initiatives: Collaborate with data science teams to build and maintain feature stores, training datasets, and inference pipelines that power the machine learning models behind personalization, content recommendation, and audience segmentation at careerzynith.
• Embrace Independent Work: Operate with a high degree of autonomy, taking ownership of projects from conception through delivery while proactively communicating progress, blockers, and insights to team members and stakeholders.
• Stay Current with Technology: Evaluate emerging tools, frameworks, and best practices in the data engineering ecosystem, recommending and implementing innovations that keep careerzynith at the forefront of technological capability.

Essential Qualifications

• Programming Proficiency: You are talented in at least one major programming language commonly used in data engineering, such as Java, Scala, or Python, and you are comfortable writing elegant, maintainable, and well-tested code. You take pride in your craft and continuously seek to improve your technical skills.
• SQL Expertise: You possess strong SQL skills and are comfortable working with relational databases, writing complex queries, optimizing performance, and modeling data for analytical workloads.
• Distributed Systems Knowledge: You have a strong background in at least one of the following areas: distributed data processing, software engineering of data services, or data modeling. You understand the trade-offs between consistency, availability, and partition tolerance in distributed architectures.
• Big Data Technologies: You are familiar with large-scale data processing technologies such as Apache Spark, Apache Flink, or similar frameworks, and you are comfortable working with web-scale datasets containing billions of records.
• Detail Orientation: You have an exceptional eye for detail, strong data intuition, and a genuine passion for data quality. You understand that trustworthy data is the foundation of trustworthy decisions.
• Documentation Skills: You appreciate the importance of excellent documentation and possess strong data debugging skills, enabling you to trace issues through complex pipelines and communicate findings clearly to technical and non-technical audiences.
• Adaptability: You are comfortable working in a rapidly changing environment with ambiguous requirements. You are nimble, take smart risks, and thrive when given the freedom to determine the best path forward.
• Cultural Alignment: You relate to and embrace many of the elements of the careerzynith culture. You enjoy working independently while also collaborating effectively, and you value giving and receiving candid, constructive feedback.

Preferred Qualifications

• Experience with cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure, including managed services for data warehousing, stream processing, and orchestration.
• Familiarity with modern data orchestration tools such as Apache Airflow, Dagster, or Prefect for managing complex pipeline dependencies.
• Experience with data warehousing solutions such as Snowflake, BigQuery, Redshift, or Databricks.
• Knowledge of containerization and infrastructure-as-code technologies such as Docker, Kubernetes, and Terraform.
• Understanding of machine learning workflows and experience supporting data science teams with feature engineering and model deployment.
• Previous experience in the media, entertainment, streaming, or subscription-based business models.
• Contributions to open-source data engineering projects or active participation in the data engineering community.
• Fluency in both English and Spanish, given our focus on candidates in Mexico.

Skills and Competencies for Success

To thrive as a Part-Time Data Engineering Specialist at careerzynith, you will draw upon a diverse blend of technical and interpersonal skills. Problem-solving sits at the core of this role — you will encounter novel challenges daily, from optimizing query performance on multi-petabyte datasets to designing schemas that balance flexibility with query efficiency. Analytical thinking enables you to understand complex data relationships, identify patterns, and translate business questions into technical specifications that deliver measurable value.

Collaboration is equally critical. While this is a part-time position, you will be an integral member of a distributed team, requiring you to communicate effectively through written channels, video conferences, and asynchronous collaboration tools. Self-motivation and time management are essential, as you will need to structure your work to meet deadlines while maintaining the flexibility that part-time work affords. Curiosity and continuous learning will serve you well, as the data engineering landscape evolves rapidly, and careerzynith expects its team members to remain at the cutting edge of emerging technologies and best practices.

Career Growth and Learning Opportunities

Joining careerzynith as a Part-Time Data Engineering Specialist opens doors to extraordinary professional development. You will gain hands-on experience with systems operating at a scale that few companies in the world can match, working alongside some of the brightest minds in the industry. The flexible nature of this position does not limit your growth potential; rather, it provides a unique opportunity to deepen your expertise while maintaining balance in your personal life.

At careerzynith, learning never stops. You will have access to internal training programs, technical workshops, conference attendance opportunities, and mentorship from senior engineers who are eager to share their knowledge. Many of our part-time professionals have successfully transitioned to full-time roles as their circumstances evolved, and we actively support career progression through clear growth pathways, regular performance feedback, and individualized development planning. Whether you aspire to become a principal engineer, a technical leader, or a specialist in a particular domain of data engineering, careerzynith provides the platform, resources, and culture to help you achieve your ambitions.

Work Environment and Company Culture at careerzynith

The culture at careerzynith is legendary in the technology industry, and for good reason. We believe in freedom and responsibility — empowering every team member with the autonomy to make decisions while holding themselves accountable for outcomes. We operate with candor and transparency, valuing honest feedback delivered with respect and received with grace. We avoid rules and bureaucracy, trusting smart people to do great work without unnecessary oversight.

Diversity, inclusion, and belonging are foundational values at careerzynith. We are committed to building a team that reflects the global audience we serve, embracing differences in perspective, background, experience, and thought. Our flexible work arrangements, including this part-time opportunity, are designed to attract exceptional talent from all walks of life, recognizing that great work can happen anywhere, at any time, when people are given the right environment and support.

As a remote team member, you will be fully integrated into our collaborative culture through regular virtual team meetings, annual company gatherings, regional meetups, and continuous digital engagement. You will never feel disconnected from the mission, the team, or the impact of your contributions. The part-time schedule allows you to focus deeply on high-value work during your most productive hours while preserving time for personal pursuits, family, education, or other professional commitments.

Compensation, Perks, and Benefits

At careerzynith, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and consider your specific job family, background, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location. Our part-time roles offer competitive hourly or project-based compensation that reflects the value you bring to the organization, benchmarked against industry standards for similar positions.

Beyond base compensation, part-time team members at careerzynith enjoy a comprehensive benefits package designed to support your well-being and professional growth. This typically includes access to our renowned entertainment library, generous paid time off, flexible scheduling, professional development stipends, comprehensive health and wellness programs, retirement savings options, and participation in our employee stock compensation philosophy. Specific benefits may vary based on location, hours worked, and tenure, but our commitment to caring for our team members remains constant regardless of employment classification.

Why This Role Matters

Data is the lifeblood of careerzynith. Every personalized recommendation that introduces a member to their new favorite show, every strategic decision about which original content to greenlight, every operational optimization that improves streaming quality — all of it depends on the work of data engineers like you. As a Part-Time Data Engineering Specialist, you will directly contribute to the systems that enable careerzynith to entertain, inspire, and connect hundreds of millions of people across the globe.

This is your opportunity to apply your technical skills to work that genuinely matters, at a company that values your time, respects your autonomy, and recognizes your contributions. You will solve fascinating challenges at unprecedented scale, collaborate with extraordinary colleagues, and grow professionally in ways that few other opportunities can offer — all while maintaining the flexibility that part-time work provides.

How to Apply

If you are a talented data engineering professional seeking a flexible, impactful role with one of the most innovative companies in the world, we want to hear from you. To apply, please submit your resume, a brief cover letter explaining your interest in this part-time opportunity, and any relevant portfolio materials or code samples that demonstrate your skills and approach to data engineering. We review applications on a rolling basis and will reach out to qualified candidates to schedule initial conversations.

At careerzynith, we are always looking for exceptional people to join our team — even on a part-time basis. Bring your curiosity, your technical expertise, your passion for data, and your desire to do meaningful work, and we will provide the platform, the resources, and the freedom for you to thrive. Apply today and become part of the team that is reinventing entertainment from end to end. We look forward to learning more about you and exploring how your unique talents can contribute to the careerzynith mission.