About careerzynith
careerzynith is a global leader in entertainment, media, and immersive experiences, delivering magical moments to millions of guests every day. With a portfolio that spans theme parks, streaming platforms, sports broadcasting, and cutting‑edge digital content, careerzynith blends creativity with technology to shape the future of storytelling. As the company continues to expand its data‑driven initiatives, the Data Engineering team plays a pivotal role in turning raw information into actionable insights that power everything from guest personalization to operational efficiency. This is your chance to join a forward‑thinking organization that values innovation, collaboration, and the relentless pursuit of excellence.
Position Overview
careerzynith is seeking a highly motivated Data Engineer to join the Data Engineering (DE) group within the Data Science & Innovation (DSI) division. This remote, full‑time role focuses on designing, building, and maintaining robust data pipelines that support a wide range of media, analytics, and machine‑learning initiatives. You will work closely with data scientists, product managers, and engineering partners to ensure data is reliable, secure, and readily available for downstream consumption. The position offers a competitive hourly rate of $27 and the flexibility to work from the comfort of your home.
Key Responsibilities
- Collaborate with business stakeholders to gather and translate data requirements into technical specifications.
- Design, develop, and maintain end‑to‑end ETL/ELT pipelines using SQL (Snowflake, PostgreSQL) and Python.
- Implement data quality frameworks, validation checks, and automated testing to guarantee pipeline integrity.
- Build and optimize data models, tables, and views that support analytics, reporting, and machine‑learning workflows.
- Monitor, troubleshoot, and resolve pipeline failures, performance bottlenecks, and data anomalies.
- Maintain version‑controlled code repositories (GitLab/GitHub) and enforce DevOps best practices across development, QA, and production environments.
- Develop and manage automated job schedulers (e.g., Airflow, Prefect) to orchestrate complex data workflows.
- Contribute to cloud‑native architecture design, with a focus on AWS services and containerization using Docker.
- Document data lineage, architecture diagrams, and operational runbooks for knowledge sharing.
- Participate in agile ceremonies, sprint planning, and cross‑functional retrospectives to continuously improve delivery cadence.
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related discipline.
- Minimum of 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 in multi‑environment setups (development, QA, staging, production) and applying DevOps principles for code deployment.
- Familiarity with container technologies (Docker) and source‑control platforms (GitLab, GitHub).
- Ability to design, implement, and maintain automated workflow schedulers.
Preferred Qualifications
- Experience working with large‑scale, cloud‑based data platforms such as Snowflake, Databricks, or Redshift.
- Hands‑on experience with AWS services (S3, Glue, Lambda, EMR) and cloud‑native data architecture.
- Knowledge of CI/CD pipelines, infrastructure‑as‑code tools (Terraform, CloudFormation), and container orchestration (Kubernetes).
- Exposure to machine‑learning pipelines and data science collaboration tools (Jupyter, MLflow).
- Strong problem‑solving mindset with a track record of optimizing data processing performance.
- Excellent communication skills and the ability to convey technical concepts to non‑technical audiences.
Core Skills & Competencies
- Technical Acumen: Deep expertise in SQL, Python, and data pipeline frameworks.
- Analytical Thinking: Ability to dissect complex data problems and propose scalable solutions.
- Collaboration: Proven experience working in cross‑functional teams, fostering a culture of shared ownership.
- Adaptability: Comfortable navigating fast‑changing priorities in a dynamic, remote environment.
- Attention to Detail: Commitment to data quality, security, and compliance standards.
- Continuous Learning: Eagerness to stay current with emerging data technologies and industry best practices.
Career Growth & Learning Opportunities
careerzynith invests heavily in employee development. As a Data Engineer, you will have access to:
- Mentorship programs pairing you with senior data architects and industry experts.
- Annual learning stipends for certifications, conferences, and online courses (e.g., AWS Certified Data Analytics, SnowPro Core).
- Opportunities to contribute to high‑visibility projects that directly impact guest experiences and business strategy.
- Clear career pathways toward senior engineering, data architecture, or analytics leadership roles.
- Internal knowledge‑sharing forums, hackathons, and innovation sprints that encourage creative problem‑solving.
Work Environment & Culture at careerzynith
careerzynith fosters an inclusive, collaborative, and fun workplace where creativity meets technology. Even though this role is remote, you will become part of a vibrant community that values:
- Flexibility: Work‑from‑home arrangements with flexible hours to support work‑life balance.
- Diversity & Inclusion: A commitment to building a workforce that reflects the global audience we serve.
- Innovation Mindset: Encouragement to experiment, prototype, and iterate on new ideas.
- Recognition: Regular acknowledgment of achievements through awards, spot bonuses, and public shout‑outs.
- Well‑Being: Access to mental‑health resources, virtual fitness classes, and employee assistance programs.
Compensation, Perks & Benefits
careerzynith offers a competitive compensation package that includes:
- Hourly rate of $27, paid bi‑weekly.
- Comprehensive health, dental, and vision insurance plans.
- Retirement savings options with company matching contributions.
- Generous paid time off, holidays, and parental leave.
- Remote‑work stipend covering home office equipment, internet, and ergonomic accessories.
- Employee discount programs for careerzynith entertainment experiences and merchandise.
- Professional development budget and tuition reimbursement.
How to Apply
If you are passionate about turning raw data into strategic assets and thrive in a remote, fast‑paced environment, we want to hear from you. Click the link below to submit your application, upload your resume, and share a brief cover letter highlighting your most relevant experience.
Apply Now – Join careerzynith’s Data Engineering Team!
Closing Statement
At careerzynith, data is the backbone of every magical experience we create. By joining our Data Engineering team, you will play a critical role in shaping the future of entertainment, sports, and digital media. Bring your expertise, curiosity, and collaborative spirit, and help us continue to delight audiences worldwide. Apply today and start your journey with careerzynith!
Apply for this job