About careerzynith
careerzynith is a global leader in entertainment‑technology, delivering immersive experiences across theme parks, streaming platforms, and interactive media. With a legacy of innovation that blends storytelling, data‑driven insight, and cutting‑edge cloud infrastructure, careerzynith empowers millions of guests worldwide to explore magical worlds both physical and digital. As the company continues to expand its digital footprint, the demand for sophisticated data pipelines, rigorous data governance, and reliable data entry processes has never been greater. This is your chance to join a forward‑thinking team that turns raw data into actionable intelligence, fueling the creative engines that keep careerzynith at the forefront of the industry.
Job Overview
careerzynith is seeking a highly motivated Remote Data Engineer to support the Data Engineering (DE) team within the broader Data Science & Innovation (DSI) organization. In this role, you will design, build, and maintain robust data pipelines that enable seamless data flow from source systems to analytics platforms. You will also own data entry processes, ensuring data quality, compliance, and timely delivery of datasets that power predictive models, reporting dashboards, and strategic decision‑making across the company.
Key Responsibilities
- Data Pipeline Development: Design, implement, and monitor ETL/ELT pipelines using SQL (Snowflake, PostgreSQL), Python, and orchestration tools.
- Data Quality & Governance: Establish data validation rules, perform data profiling, and maintain data lineage documentation to guarantee accuracy and compliance.
- Source‑to‑Target Mapping: Gather business requirements, translate them into technical specifications, and create detailed source‑to‑target mapping documents.
- Schema Design & Management: Build and evolve data models, tables, and views that support analytics, machine‑learning, and reporting workloads.
- Automation & Scheduling: Develop and maintain automated job schedulers (e.g., Airflow, Prefect) to ensure reliable pipeline execution across development, QA, and production environments.
- Collaboration: Partner closely with data scientists, product managers, and engineering teams to understand data needs and deliver timely solutions.
- Performance Optimization: Conduct query tuning, index optimization, and resource allocation to improve pipeline efficiency and reduce latency.
- Documentation & Knowledge Sharing: Produce clear technical documentation, runbooks, and best‑practice guides for internal stakeholders.
- Continuous Improvement: Identify opportunities to streamline data workflows, adopt new technologies, and enhance the overall data ecosystem.
Essential Qualifications
- Bachelor’s degree in Computer Science, 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, with demonstrated expertise in Snowflake or PostgreSQL.
- Strong Python programming skills, particularly for data manipulation, API integration, and pipeline orchestration.
- Experience working with version‑control systems such as GitLab or GitHub, including branching strategies and pull‑request workflows.
- Familiarity with containerization (Docker) and basic DevOps concepts for building reproducible environments.
- Solid understanding of relational database design, data modeling, and data warehousing principles.
- Excellent analytical mindset, attention to detail, and ability to troubleshoot complex data issues.
Preferred Qualifications
- Exposure to cloud platforms (AWS, Azure, GCP) and cloud‑native data services like Snowflake, Databricks, or Redshift.
- Experience with workflow orchestration tools such as Apache Airflow, Prefect, or Dagster.
- Knowledge of big‑data technologies (Spark, Hadoop) and experience handling large‑scale datasets.
- Background in data security, compliance (GDPR, CCPA), and data masking techniques.
- Prior work in the entertainment, media, or hospitality sectors, especially within a global brand.
- Strong communication skills with the ability to convey technical concepts to non‑technical audiences.
Skills & Competencies
- Technical Acumen: Mastery of SQL, Python, and data pipeline frameworks; ability to quickly learn new tools and languages.
- Problem‑Solving: Systematic approach to diagnosing data anomalies, performance bottlenecks, and integration challenges.
- Collaboration: Team‑player who thrives in cross‑functional environments, building trust with data scientists, product owners, and infrastructure engineers.
- Adaptability: Comfortable working in a fast‑paced, remote setting with shifting priorities and evolving business needs.
- Quality Focus: Commitment to data integrity, documentation, and reproducibility of pipelines.
- Continuous Learning: Passion for staying current with industry trends, emerging cloud services, and best practices in data engineering.
Career Growth & Learning Opportunities
careerzynith invests heavily in employee development. As a Remote Data Engineer, you will have access to:
- Mentorship programs pairing you with senior data architects and industry veterans.
- Annual learning stipend for certifications (e.g., Snowflake SnowPro, AWS Certified Data Analytics).
- Internal tech talks, hackathons, and knowledge‑sharing sessions focused on data science, cloud engineering, and AI.
- Clear career pathways toward senior data engineering, data architecture, or data product management roles.
- Opportunities to work on high‑visibility projects that directly influence guest experiences across careerzynith’s global portfolio.
Work Environment & Culture at careerzynith
careerzynith embraces a flexible, inclusive, and innovative culture. Our remote workforce enjoys:
- Hybrid Flexibility: While the role is fully remote, you can choose to work from any location within the United States, with occasional optional meet‑ups at our flagship campus.
- Diverse Teams: Collaboration with colleagues from varied backgrounds, cultures, and expertise areas, fostering creativity and fresh perspectives.
- Well‑Being Programs: Access to mental‑health resources, virtual fitness classes, and ergonomic home‑office allowances.
- Recognition & Rewards: Regular acknowledgment of achievements through peer‑nominated awards, spot bonuses, and company‑wide celebrations.
- Community Impact: Participation in corporate social responsibility initiatives, including sustainability projects and community outreach.
Compensation, Perks & Benefits
careerzynith offers a competitive compensation package that reflects the expertise you bring to the team. While the base rate for this role is $27 per hour, additional benefits include:
- Comprehensive health, dental, and vision insurance plans.
- 401(k) retirement plan with company match.
- Generous paid time off, holidays, and sick leave.
- Professional development budget and tuition reimbursement.
- Employee assistance program (EAP) and wellness resources.
- Technology stipend for home‑office equipment, high‑speed internet, and software licenses.
- Performance‑based bonuses and potential equity participation for long‑term contributors.
How to Apply
If you are ready to leverage your data engineering expertise to power the next generation of magical experiences, we want to hear from you. Click the link below to submit your application, resume, and a brief cover letter outlining why you are the perfect fit for careerzynith’s Data Engineering team.
Apply Now!
Join careerzynith and Turn Data Into Delight
At careerzynith, data isn’t just numbers—it’s the heartbeat of every story, ride, and digital interaction we create. By joining our Remote Data Engineering team, you will play a pivotal role in shaping the insights that drive innovation across a world‑class entertainment brand. Take the next step in your career, work from the comfort of your home, and help us deliver unforgettable moments to guests everywhere.
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