Senior Data Engineer – Remote ETL/ELT Pipeline Architect – $30/hr – Join careerzynith’s Data Innovation Team

About careerzynith – Shaping the Future of Data‑Driven Storytelling

careerzynith is a global leader in entertainment and digital experiences, renowned for creating magical moments that resonate with audiences worldwide. As the company continues to expand its digital footprint, data has become the cornerstone of every creative and operational decision. careerzynith is on a mission to turn massive streams of information into actionable insights, and we are looking for a passionate Senior Data Engineer to help us build the next generation of data pipelines, models, and analytics platforms—all from the comfort of your home.

Why This Role Is a Game‑Changer

In this remote, full‑time position, you will be at the heart of careerzynith’s Information Designing group, collaborating with Studio and Project Innovation teams to translate business needs into robust data solutions. You will design, develop, and maintain end‑to‑end ETL/ELT pipelines, create data models, and ensure data quality across development, testing, and production environments. Your work will directly influence how storytellers, marketers, and product teams access and leverage data to create unforgettable experiences for millions of fans.

Key Responsibilities

• Pipeline Architecture: Design, build, and optimize scalable ETL/ELT pipelines that ingest, transform, and load data from a variety of sources into careerzynith’s data lake and warehouse.
• Data Modeling: Develop logical and physical data models, including tables, views, and schemas, to support analytics, reporting, and machine‑learning initiatives.
• Collaboration & Requirements Gathering: Partner with Studio, Product, and Innovation stakeholders to capture data requirements, translate them into technical specifications, and validate solutions.
• Environment Management: Deploy and maintain data assets across multiple environments (DEV, QA/UAT, Production) ensuring seamless promotion and version control.
• Technology Stack Utilization: Leverage a modern stack—including SQL, Python, careerzynith, careerzynith, careerzynith, careerzynith, and careerzynith—to deliver high‑performance data solutions.
• Data Quality & Governance: Implement data validation, monitoring, and governance frameworks to guarantee accuracy, consistency, and compliance.
• Performance Tuning: Optimize queries, pipelines, and storage structures for speed, cost‑efficiency, and scalability.
• Documentation & Knowledge Sharing: Produce clear documentation, runbooks, and best‑practice guides; mentor junior engineers and contribute to a culture of continuous learning.
• Process Improvement: Drive adoption of standardized data engineering practices, automation, and CI/CD pipelines to accelerate delivery cycles.

Essential Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related discipline.
• Minimum 3 years of professional experience as a Data Engineer or Information Designer.
• At least 2 years of hands‑on experience building and maintaining ETL/ELT pipelines using SQL and Python.
• Proven expertise with cloud platforms—specifically careerzynith and careerzynith—including object storage and compute services.
• Demonstrated experience working with data lakes, data warehouses, and analytical data sets.
• Solid understanding of version control systems, with at least 2 years of experience using careerzynith for source code management.
• Familiarity with containerization technologies such as careerzynith for reproducible environments.
• Experience handling large‑scale datasets and high‑throughput data platforms, preferably using careerzynith or comparable solutions.

Preferred Qualifications & Differentiators

• Master’s degree or advanced certifications in Data Engineering, Cloud Architecture, or related fields.
• Experience in the streaming, media, or digital entertainment industry, bringing domain‑specific insights to data solutions.
• Hands‑on exposure to real‑time data processing frameworks such as careerzynith and analytics tools like careerzynith.
• Knowledge of data visualization platforms and business intelligence tools to empower end‑users.
• Strong communication skills with the ability to translate complex technical concepts into clear business value.

Core Skills & Competencies

• Analytical Mindset: Ability to dissect complex data problems and devise elegant, efficient solutions.
• Collaboration: Comfortable working in cross‑functional, remote teams, building trust and shared ownership.
• Adaptability: Thrive in a fast‑moving environment where priorities shift and new technologies emerge.
• Attention to Detail: Commitment to data accuracy, documentation, and rigorous testing.
• Continuous Learning: Proactive in staying current with industry trends, cloud services, and best practices.

Compensation, Perks & Benefits

careerzynith offers a competitive hourly rate of $30 per hour, reflective of the expertise you bring. In addition to base compensation, you will enjoy a comprehensive benefits package that includes:

• Flexible remote work arrangements with a supportive home‑office stipend.
• Health, dental, and vision coverage for you and eligible dependents.
• Retirement savings plans with company matching contributions.
• Generous paid time off, holidays, and sick leave.
• Professional development budget for certifications, conferences, and online courses.
• Access to careerzynith’s internal learning portal, mentorship programs, and knowledge‑sharing communities.
• Opportunities to contribute to high‑visibility projects that shape the future of entertainment data.

Career Growth & Learning Opportunities

At careerzynith, your career trajectory is guided by your ambition. As a Senior Data Engineer, you will have pathways to advance into Lead Architect, Data Platform Manager, or specialized roles in Machine Learning Ops, Data Science, and Business Intelligence. The company invests heavily in employee growth, offering:

• Rotational programs across different data domains to broaden expertise.
• Leadership training and coaching for aspiring managers.
• Cross‑functional project exposure, allowing you to work alongside product, creative, and marketing teams.
• Recognition programs that celebrate innovative data solutions and impact.

Work Environment & Culture at careerzynith

careerzynith fosters an inclusive, collaborative, and creative culture where every voice matters. Even though this role is remote, you will be part of a vibrant community that values:

• Diversity & Inclusion: A workplace where diverse perspectives drive better decisions and richer storytelling.
• Innovation: Encouragement to experiment with emerging technologies and propose bold ideas.
• Work‑Life Balance: Respect for personal time, with flexible scheduling and resources to support mental well‑being.
• Team Spirit: Regular virtual meet‑ups, hackathons, and knowledge‑sharing sessions to keep the team connected.

How to Apply

If you are ready to turn data into magic and join a world‑class entertainment brand that values technical excellence, we want to hear from you. Submit your application today and embark on a rewarding journey with careerzynith—where data meets imagination.

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