About careerzynith
careerzynith is a global leader in entertainment and media, renowned for creating unforgettable experiences that span theme parks, film studios, streaming platforms, and interactive digital worlds. With a legacy built on imagination, storytelling, and cutting‑edge technology, careerzynith continuously pushes the boundaries of what data can achieve. As part of our Data Design & Strategy Initiative (DDSI), we are expanding a high‑impact, fully remote data engineering team that fuels the magic behind every guest interaction, content recommendation, and operational insight. This is your chance to join a world‑class organization, work from anywhere in the United States, and help shape the future of data‑driven storytelling.
Why This Role Matters
Data is the lifeblood of careerzynith’s creative and operational engines. As a Senior Data Engineer, you will design, build, and maintain robust ETL/ELT pipelines that transform raw data into actionable intelligence for studios, product teams, and business partners. Your work will directly influence how millions of fans experience our content, from personalized recommendations on streaming services to real‑time analytics that optimize theme‑park operations. If you thrive on solving complex data challenges, love collaborating with cross‑functional teams, and enjoy the flexibility of remote work, this role is crafted for you.
Key Responsibilities
- Partner with Studio, Product, and Innovation stakeholders to gather and translate data requirements into scalable pipeline designs.
- Architect, develop, and maintain end‑to‑end ETL/ELT workflows using industry‑leading tools such as SQL, Python, Apache Airflow, Docker, GitLab, Snowflake, Looker, and PostgreSQL.
- Design and implement data models, schema mappings, and data‑set views that support analytics, reporting, and machine‑learning initiatives.
- Manage data environments across Development, QA/UAT, and Production, ensuring seamless promotion of pipelines and data assets.
- Implement best‑practice data governance, security, and compliance standards, especially for cloud‑based platforms like AWS S3 and Azure Data Lake.
- Collaborate with data scientists and analysts to optimize data lake structures, data warehouse performance, and downstream consumption patterns.
- Drive continuous improvement of data engineering processes, including automated testing, CI/CD pipelines, and monitoring dashboards.
- Mentor junior engineers, share knowledge through code reviews, and champion a culture of data excellence.
- Stay current with emerging technologies (e.g., Databricks, Kafka, Spark) and evaluate their fit for careerzynith’s evolving data ecosystem.
Essential Qualifications
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent practical experience).
- Minimum 3 years of professional experience in a Data Engineering or Data Architecture role.
- At least 2 years of hands‑on experience designing, building, and maintaining ETL/ELT pipelines.
- Proficiency with SQL (query optimization, stored procedures, data modeling).
- Strong programming skills in Python, including libraries such as Pandas, SQLAlchemy, and Airflow operators.
- Experience with cloud platforms, preferably AWS (S3, Redshift, Glue) or Azure equivalents.
- Demonstrated ability to work with data lakes, data warehouses, and large‑scale data sets (e.g., Snowflake, Databricks).
- Familiarity with containerization (Docker) and version control (GitLab/GitHub).
- Solid understanding of data governance, security, and compliance best practices.
Preferred Qualifications & Differentiators
- Master’s degree or advanced certifications in Data Engineering, Cloud Architecture, or related disciplines.
- Experience with streaming technologies such as Apache Kafka, Kinesis, or similar.
- Background in the media, entertainment, or digital marketing sectors, providing domain insight into content‑driven data workflows.
- Hands‑on experience with Apache Airflow (or similar orchestration tools) for complex workflow scheduling.
- Exposure to business intelligence platforms like Looker, Tableau, or Power BI for delivering data visualizations.
- Track record of establishing and evolving data engineering standards, documentation, and automated testing frameworks.
Core Skills & Competencies
- Analytical mindset: Ability to dissect complex data problems and propose elegant, performant solutions.
- Collaboration: Strong communication skills for working with cross‑functional teams, translating technical concepts into business value.
- Problem‑solving: Proactive troubleshooting of pipeline failures, performance bottlenecks, and data quality issues.
- Adaptability: Comfort with fast‑paced environments, shifting priorities, and evolving technology stacks.
- Leadership: Mentorship of junior engineers and influence over architectural decisions.
- Attention to detail: Rigorous testing, documentation, and adherence to data governance policies.
Career Growth & Learning Opportunities
careerzynith invests heavily in employee development. As a Senior Data Engineer, you will have access to:
- Annual learning stipend for conferences, certifications, or online courses (e.g., AWS Certified Data Analytics, SnowPro Core).
- Mentorship programs pairing you with senior architects and data science leaders across the organization.
- Opportunities to lead high‑visibility projects that directly impact flagship products and global guest experiences.
- Cross‑functional rotations that expose you to product management, analytics, and creative storytelling teams.
- Clear promotion pathways to Lead Data Engineer, Data Architecture Manager, or Director of Data Strategy.
Work Environment & Culture at careerzynith
Our remote‑first philosophy empowers you to work from any location within the United States while staying deeply connected to a vibrant, inclusive community. careerzynith’s culture is built on:
- Creativity & Innovation: We encourage bold ideas and provide the tools to turn them into reality.
- Collaboration: Regular virtual coffee chats, team‑wide hackathons, and cross‑departmental workshops foster a sense of belonging.
- Diversity & Inclusion: A commitment to diverse perspectives ensures that every voice is heard and valued.
- Work‑Life Balance: Flexible schedules, generous paid time off, and wellness resources support your personal and professional well‑being.
- Recognition: Quarterly awards celebrate technical excellence, teamwork, and innovative contributions.
Compensation, Perks & Benefits
careerzynith offers a competitive hourly rate of $30 per hour, complemented by a comprehensive benefits package that includes:
- Health, dental, and vision insurance with multiple plan options.
- 401(k) retirement plan with company match.
- Paid parental leave, family leave, and flexible PTO.
- Remote‑work stipend for home office setup, high‑speed internet, and ergonomic accessories.
- Employee assistance program (EAP) for mental health and counseling services.
- Access to careerzynith’s entertainment portfolio – discounted tickets, streaming subscriptions, and exclusive behind‑the‑scenes experiences.
- Annual performance bonuses based on individual and company success.
How to Apply
If you are ready to harness the power of data to create magical experiences for millions of fans worldwide, we want to hear from you. Submit your resume, a concise cover letter highlighting your most relevant projects, and any portfolio or GitHub links that demonstrate your data engineering expertise.
Join careerzynith’s Data Innovation team and embark on a journey where technology meets imagination—all from the comfort of your home office.