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About careerzynith – Pioneering Entertainment Data Innovation
careerzynith is a global leader in immersive entertainment, theme‑park experiences, and digital media. With a legacy of storytelling that spans decades, careerzynith combines creativity with cutting‑edge technology to deliver unforgettable moments to millions of guests worldwide. Our Data Science & Innovation (DSI) division fuels this magic by turning raw data into strategic insights, powering everything from park operations to streaming content recommendations. As a remote‑first organization, careerzynith embraces flexibility, diversity, and a culture of continuous learning, allowing talented professionals to thrive from anywhere.
Role Overview – Remote Data Engineer (Full‑Time)
careerzynith’s Data Engineering team is seeking a highly motivated Remote Data Engineer to join our fast‑growing Data Science & Innovation (DSI) group. In this role, you will design, build, and maintain robust data pipelines that support a variety of analytics, machine‑learning, and reporting initiatives across the company. You will work closely with data scientists, product managers, and engineering partners to ensure data is reliable, secure, and readily available for decision‑making.
Key Responsibilities
- Collaborate with business stakeholders to gather and translate data requirements into technical specifications.
- Design, develop, and optimize end‑to‑end ETL/ELT pipelines using SQL (Snowflake, PostgreSQL) and Python.
- Implement data validation, quality checks, and automated testing frameworks to guarantee pipeline integrity.
- Maintain and enhance data security and compliance processes, ensuring adherence to industry standards.
- Build and manage data models, schema designs, and data warehouse tables that support analytical workloads.
- Monitor, troubleshoot, and resolve performance bottlenecks in data pipelines and storage systems.
- Develop and maintain CI/CD pipelines using Docker, GitLab, and related DevOps tools to streamline code deployment across Dev, QA, and Production environments.
- Create and manage workflow orchestration tools (e.g., Airflow, Prefect) to schedule and automate data jobs.
- Document data lineage, architecture diagrams, and operational procedures for cross‑team visibility.
- Stay current with emerging data technologies and recommend improvements that align with careerzynith’s strategic goals.
Essential Qualifications
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related quantitative field.
- Minimum 2 years of hands‑on experience building and supporting ELT/ETL pipelines in a production environment.
- Proficiency in Python and SQL, with demonstrated experience using Snowflake or PostgreSQL.
- Solid understanding of relational database design, data modeling, and data warehousing concepts.
- Experience developing and maintaining automated data pipelines in multi‑environment setups (Dev, QA, Production).
- Familiarity with version control systems such as GitLab or GitHub, and containerization technologies like Docker.
- Ability to write clear, maintainable code and documentation that can be understood by both technical and non‑technical audiences.
Preferred Qualifications & Differentiators
- Experience working with large‑scale, cloud‑based data platforms such as Snowflake, Databricks, or similar.
- Hands‑on experience with cloud services (AWS preferred) and infrastructure‑as‑code tools.
- Background in building and operating workflow schedulers (Airflow, Prefect, Luigi, etc.).
- Knowledge of data governance, security best practices, and regulatory compliance (e.g., GDPR, CCPA).
- Exposure to machine‑learning pipelines and collaboration with data science teams.
- Strong problem‑solving mindset with a track record of optimizing performance and cost efficiency.
Core Skills & Competencies
- Technical Acumen: Deep expertise in SQL, Python, and data pipeline orchestration.
- Analytical Thinking: Ability to dissect complex data problems and propose scalable solutions.
- Collaboration: Comfortable partnering with cross‑functional teams, translating business needs into technical deliverables.
- Communication: Clear written and verbal communication skills for documentation and stakeholder updates.
- Adaptability: Thrive in a fast‑changing environment, quickly learning new tools and technologies.
- Ownership: Proactive attitude toward end‑to‑end responsibility for data quality and pipeline reliability.
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 (e.g., AWS, Snowflake, Data Engineering).
- Opportunities to lead high‑impact projects that directly influence guest experiences and business strategy.
- Pathways to senior roles such as Lead Data Engineer, Data Platform Manager, or Data Architecture Specialist.
- Cross‑functional rotations that expose you to product, analytics, and engineering domains.
Work Environment & Culture at careerzynith
Our remote‑first policy means you can work from anywhere in the United States while staying connected through virtual collaboration tools. careerzynith fosters an inclusive culture where creativity, curiosity, and collaboration are celebrated. Highlights include:
- Flexible work hours that respect work‑life balance.
- Regular virtual team‑building events, hackathons, and knowledge‑sharing sessions.
- Diverse, global teams that bring a wide range of perspectives to problem‑solving.
- Commitment to mental health and well‑being, with resources such as counseling services and wellness apps.
- Transparent leadership that encourages open dialogue and feedback.
Compensation, Perks & Benefits
careerzynith offers a competitive hourly rate of $27 per hour, commensurate with experience and expertise. In addition to base pay, you will receive:
- Comprehensive health, dental, and vision insurance plans.
- Retirement savings options with company matching contributions.
- Paid time off, holidays, and sick leave.
- Remote work stipend for home office setup, internet, and ergonomic equipment.
- Employee assistance programs, wellness initiatives, and fitness reimbursements.
- Opportunities for performance‑based bonuses and career advancement.
How to Apply
If you are passionate about building data pipelines that power world‑class entertainment experiences, we want to hear from you. Click the link below to submit your application, resume, and a brief cover letter outlining why you’re the perfect fit for careerzynith’s Data Engineering team.
Apply Now – Join careerzynith!
Join careerzynith and Turn Data Into Magic
At careerzynith, data is more than numbers—it’s the foundation of unforgettable stories, seamless park operations, and personalized guest experiences. By joining our Remote Data Engineering team, you will play a pivotal role in shaping the future of entertainment technology. Take the next step in your career and become part of a vibrant, innovative community that values your expertise, creativity, and ambition.
We look forward to welcoming you to careerzynith!
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