About careerzynith
careerzynith is a global leader in entertainment‑driven technology, delivering immersive experiences across theme parks, streaming platforms, and interactive media. With a heritage of storytelling excellence and a relentless focus on innovation, careerzynith blends creativity with data‑centric decision‑making to shape the future of guest experiences worldwide. Our teams work at the intersection of cutting‑edge cloud infrastructure, advanced analytics, and real‑time content delivery, empowering millions of fans to engage with beloved characters and stories in new, personalized ways. As a remote‑friendly organization, careerzynith embraces flexible work arrangements, fostering a collaborative culture that spans continents while maintaining a strong sense of community and purpose.
Role Overview
We are seeking a highly motivated Remote Data Engineer to join the Data Engineering (DE) team within careerzynith’s Data Science & Innovation (DSI) division. In this role, you will design, build, and maintain robust ETL/ELT pipelines that power data‑driven products for our media, parks, and streaming businesses. You will work closely with data scientists, product managers, and software engineers to translate business requirements into scalable data solutions, ensuring data quality, reliability, and performance across multi‑environment deployments. This is a full‑time, remote‑first position offering a competitive hourly rate of $27, with opportunities to grow your expertise in cloud data platforms, automation, and modern DevOps practices.
Key Responsibilities
- Collaborate with cross‑functional stakeholders to gather and document detailed data requirements for new and existing products.
- Design, develop, and maintain end‑to‑end ETL/ELT pipelines using SQL (Snowflake, PostgreSQL) and Python, ensuring data is accurately transformed and loaded into target warehouses.
- Implement data validation, profiling, and auditing processes to guarantee data integrity and compliance with internal governance standards.
- Build and monitor data models, tables, and views that serve as the foundation for analytics, machine‑learning models, and reporting dashboards.
- Optimize pipeline performance through indexing, partitioning, and efficient query design, reducing latency and cost in cloud environments.
- Develop and maintain automated workflow orchestration using tools such as Airflow, Prefect, or native Snowflake tasks.
- Manage code versioning, branching, and release processes using GitLab/GitHub, adhering to CI/CD best practices.
- Containerize development environments with Docker to ensure consistency across Development, QA, and Production stages.
- Provide technical mentorship to junior engineers and contribute to knowledge‑sharing sessions within the DE team.
- Participate in on‑call rotations and incident response, troubleshooting data pipeline failures and implementing preventive measures.
Essential Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, Mathematics, Statistics, or a related quantitative field.
- Minimum of 2 years of hands‑on experience designing, building, and supporting ELT/ETL pipelines in a production environment.
- Proficiency in Python programming and advanced SQL, with demonstrated experience using Snowflake or PostgreSQL.
- Solid understanding of relational database design, data modeling, and data warehousing concepts.
- Experience working in multi‑environment setups (Dev, QA, Production) and applying DevOps principles for code deployment.
- Familiarity with source‑control systems (GitLab, GitHub) and automated testing frameworks.
- Ability to create and maintain automated job schedulers and orchestrators for data workflows.
- Strong analytical mindset with excellent problem‑solving skills and attention to detail.
- Effective communication skills, both written and verbal, to convey technical concepts to non‑technical partners.
Preferred Qualifications
- Experience with large‑scale cloud data platforms such as Snowflake, Databricks, or Redshift.
- Hands‑on experience with AWS services (S3, Lambda, Glue, Redshift) and cloud‑native architecture.
- Knowledge of container orchestration tools like Kubernetes and familiarity with Docker Compose.
- Background in building data pipelines for media, entertainment, or streaming domains.
- Exposure to machine‑learning pipelines and collaboration with data science teams.
- Certifications in cloud platforms (AWS Certified Data Analytics, SnowPro Core) or DevOps (Docker Certified Associate).
Core Skills & Competencies
- Technical Acumen: Mastery of SQL, Python, and data pipeline frameworks; ability to write clean, maintainable code.
- Data Quality Focus: Expertise in data validation, testing, and governance to ensure trustworthy analytics.
- Automation Mindset: Passion for automating repetitive tasks, building robust CI/CD pipelines, and reducing manual overhead.
- Collaboration: Proven ability to work effectively with product owners, data scientists, and engineering peers across time zones.
- Adaptability: Comfort navigating fast‑paced environments, shifting priorities, and evolving technology stacks.
- Customer‑Centric Thinking: Understanding how data solutions impact guest experiences and business outcomes.
Career Development & Learning Opportunities
careerzynith invests heavily in employee growth. As a Remote Data Engineer, you will have access to:
- Mentorship programs pairing you with senior data architects and industry experts.
- Annual learning stipend for conferences, certifications, or online courses (e.g., Coursera, Udemy, Pluralsight).
- Internal hackathons and innovation sprints that encourage experimentation with emerging technologies such as real‑time streaming (Kafka), graph databases, and AI‑enhanced analytics.
- Clear career pathways toward senior data engineering, data architecture, or data product management roles within careerzynith.
- Opportunities to contribute to high‑visibility projects that directly influence global guest experiences, from theme‑park ride optimization to personalized streaming recommendations.
Work Environment & Culture at careerzynith
Our remote‑first philosophy means you can work from anywhere in the United States while staying connected to a vibrant, inclusive community. careerzynith promotes:
- Flexibility: Flexible working hours that respect work‑life balance and accommodate different time zones.
- Collaboration: Regular virtual coffee chats, team stand‑ups, and cross‑functional workshops to keep communication fluid.
- Diversity & Inclusion: A commitment to building a workforce that reflects the global audience we serve, with employee resource groups and inclusive policies.
- Well‑Being: Access to mental‑health resources, wellness stipends, and virtual fitness classes.
- Innovation Culture: A “fail fast, learn fast” mindset that encourages bold ideas and continuous improvement.
Compensation, Benefits & Perks
careerzynith offers a competitive hourly rate of $27, complemented by a comprehensive benefits package that includes:
- Health, dental, and vision insurance with multiple plan options.
- 401(k) retirement plan with company matching contributions.
- Generous paid time off (PTO) and holidays, plus additional days for volunteer work.
- Remote work allowance covering home‑office equipment, high‑speed internet, and ergonomic accessories.
- Employee assistance program (EAP) for counseling and financial guidance.
- Performance‑based bonuses and recognition programs that celebrate individual and team achievements.
- Access to careerzynith’s entertainment portfolio, including complimentary streaming subscriptions and discounted park tickets for you and your family.
How to Apply
If you are passionate about turning raw data into actionable insights and want to be part of a world‑class entertainment technology company, we would love to hear from you. Please submit your resume and a brief cover letter outlining your relevant experience and why you are excited to join careerzynith.
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