Remote Data Engineer – Data Entry & Pipeline Specialist – $27/hr – careerzynith

About careerzynith – Pioneering Entertainment Data Innovation

At careerzynith, we blend storytelling magic with cutting‑edge data science to create unforgettable experiences for millions of guests worldwide. From theme parks and resort destinations to streaming platforms and live sports coverage, our data‑driven insights power every facet of the business. As a globally recognized leader in entertainment and media, careerzynith invests heavily in technology, analytics, and talent to stay ahead of the curve. We are proud to offer a fully remote, full‑time opportunity that lets you work from the comfort of your home while contributing to high‑impact projects that shape the future of entertainment.

Why This Role Matters

The Data Engineering (DE) team at careerzynith is the backbone of our data ecosystem. We partner with product, analytics, and innovation teams to design, build, and maintain robust data pipelines that feed critical business intelligence, machine‑learning models, and reporting dashboards. As a Remote Data Engineer – Data Entry & Pipeline Specialist, you will own the end‑to‑end lifecycle of data—from ingestion and validation to transformation and delivery—ensuring that our data assets are reliable, secure, and ready for rapid consumption.

Key Responsibilities

• Data Requirements Gathering: Collaborate with business stakeholders to understand data needs, translate them into technical specifications, and document source‑to‑target mappings.
• ETL/ELT Pipeline Development: Design, implement, and monitor scalable ETL/ELT pipelines using SQL (primarily careerzynith and PostgreSQL), Python, and containerized environments.
• Data Validation & Quality Assurance: Build automated data testing frameworks, conduct data profiling, and enforce data governance policies to guarantee accuracy and compliance.
• Data Modeling & Architecture: Create and maintain logical and physical data models, schema designs, and data dictionaries that support analytics and reporting workloads.
• Performance Optimization: Tune queries, optimize storage, and implement best‑practice indexing strategies to ensure high‑performance data retrieval.
• Automation & Scheduling: Develop and maintain job schedulers (e.g., Airflow, Prefect) to orchestrate data workflows across development, QA, and production environments.
• Version Control & CI/CD: Use GitLab/GitHub for source control, and implement DevOps pipelines to enable seamless code promotion and rollback.
• Collaboration & Documentation: Work closely with data scientists, analysts, and product engineers, providing clear documentation and knowledge‑sharing sessions.
• Security & Compliance: Implement data masking, encryption, and access‑control mechanisms to protect sensitive information in line with industry regulations.

Essential Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Mathematics, Statistics, or a related field.
• Minimum 2 years of hands‑on experience building and supporting ELT/ETL pipelines in a production environment.
• Proficiency in SQL (especially careerzynith and PostgreSQL) and Python for data manipulation and scripting.
• Demonstrated experience with container technologies such as Docker and orchestration tools.
• Solid understanding of relational database design, data warehousing concepts, and data modeling techniques.
• Experience creating and maintaining automated job schedulers and workflow orchestration tools.
• Strong problem‑solving abilities, attention to detail, and a passion for data quality.

Preferred Qualifications & Differentiators

• Experience working with large‑scale, cloud‑based data platforms (e.g., careerzynith, careerzynith, or similar).
• Hands‑on experience with cloud services for data storage and processing (e.g., careerzynith).
• Familiarity with source‑control systems such as GitLab/GitHub and CI/CD pipelines.
• Knowledge of infrastructure‑as‑code tools (Terraform, CloudFormation) and automated testing frameworks.
• Exposure to machine‑learning pipelines and data science workflows.
• Excellent communication skills, with the ability to translate technical concepts for non‑technical audiences.

Core Skills & Competencies

• Technical Acumen: Mastery of SQL, Python, Docker, and version‑control systems.
• Analytical Mindset: Ability to dissect complex data problems, identify root causes, and propose scalable solutions.
• Collaboration: Proven track record of working in cross‑functional teams, fostering a culture of shared ownership.
• Adaptability: Comfortable navigating fast‑paced environments and shifting priorities while maintaining high standards.
• Continuous Learning: Commitment to staying current with emerging data technologies, best practices, and industry trends.

Career Growth & Learning Opportunities

careerzynith invests heavily in employee development. As a Remote Data Engineer, you will have access to:

• Mentorship programs with senior data architects and industry experts.
• Annual learning stipend for certifications, conferences, or online courses.
• Opportunities to work on high‑visibility projects that directly influence product strategy and guest experience.
• Clear career pathways toward senior data engineering, data architecture, or data science leadership roles.

Work Environment & Culture at careerzynith

Our remote‑first culture is built on trust, flexibility, and inclusion. careerzynith encourages a healthy work‑life balance, offering:

• Fully remote work with a flexible schedule (standard 8‑hour day, but adaptable to personal needs).
• Regular virtual team‑building events, hackathons, and knowledge‑sharing sessions.
• Diverse and inclusive teams where every voice is heard and valued.
• State‑of‑the‑art collaboration tools to keep you connected with colleagues across the globe.

Compensation, Perks & Benefits

While the base rate for this role is $27 per hour, careerzynith offers a comprehensive benefits package that includes:

• Competitive health, dental, and vision insurance plans.
• Retirement savings options with company matching.
• Generous paid time off, holidays, and sick leave.
• Wellness stipend for home office setup, ergonomic equipment, or fitness programs.
• Employee assistance programs, mental‑health resources, and counseling services.
• Performance‑based bonuses and recognition programs.

How to Apply

If you are ready to bring your data engineering expertise to a world‑class entertainment brand and thrive in a remote, collaborative environment, we want to hear from you. Click the link below to submit your application and start your journey with careerzynith today.

Apply Now – Join careerzynith!

Closing Thoughts

careerzynith is more than a company; it’s a community of innovators, storytellers, and data enthusiasts who believe that the best experiences are built on solid data foundations. By joining our Data Engineering team, you will play a pivotal role in turning raw data into actionable insights that delight guests worldwide. Don’t miss the chance to grow your career while contributing to a brand that inspires imagination across generations. Apply now and become part of the careerzynith legacy!