Join careerzynith: Shape the Future of Data-Driven Entertainment from the Comfort of Your Home
Imagine being part of a forward-thinking organization that values innovation, creativity, and the power of data to transform entire industries. At careerzynith, we are reimagining how entertainment, media, and consumer experiences are shaped by intelligent data solutions. We are a dynamic, technology-first company committed to leveraging data engineering excellence to fuel strategic decision-making, deliver unforgettable customer experiences, and drive measurable business impact across multiple business verticals.
Our remote-first culture allows talented professionals from across the country to collaborate on projects that matter, without sacrificing the flexibility and work-life balance they deserve. We are currently seeking a passionate and skilled Remote Data Engineering Specialist to join our expanding data team. This is more than just a job — it is an opportunity to architect the data backbone of a company that is changing the way the world experiences entertainment, parks, resorts, consumer products, and sports media.
If you have a deep passion for building robust data pipelines, designing scalable cloud-based architectures, and transforming raw data into powerful business insights, careerzynith wants to hear from you. This role offers a competitive hourly rate of $27/hour, full-time hours, and the chance to work on challenging, high-impact projects from your home office.
About the Role and the Team You Will Join
As a Remote Data Engineering Specialist at careerzynith, you will become a key member of our Decision Science and Data Integration (DSDI) organization. The DSDI team is the analytical engine of careerzynith, supporting critical business units including our renowned parks and resorts division, consumer products group, brand experiences, and entertainment segments that encompass film studios, general entertainment content, and sports media properties. Our team operates at the intersection of technology, business strategy, and creative storytelling.
Within DSDI, the Data Engineering (DE) team partners closely with Decision Science Product Managers, Decision Scientists, business analysts, and technology colleagues to deliver development, sustainment, research, and prototyping initiatives. We provide world-class data pipeline engineering, database design, and data integration services that empower stakeholders across the entire careerzynith ecosystem to make smarter, faster, and more informed decisions.
Your primary focus will be on the Media business vertical, where you will manage the development, sustainment, and continuous improvement of critical data products. This includes designing and optimizing data acquisition processes, implementing rigorous data validation frameworks, building ETL/ELT pipelines, and establishing proactive monitoring and alerting strategies that ensure data quality and reliability at scale.
Key Responsibilities: What You Will Do Every Day
As a Remote Data Engineering Specialist at careerzynith, your daily activities will be diverse, challenging, and deeply impactful. Your core responsibilities will include:
- Requirements Gathering and Stakeholder Collaboration: Work directly with business stakeholders, data scientists, analysts, and product managers to understand data needs, define technical requirements, and translate business questions into robust engineering solutions.
- Source-to-Target Mapping: Develop comprehensive source-to-target data mapping documentation that ensures seamless data flow from origin systems through transformation layers and into final consumption destinations.
- Data Validation Engineering: Build, test, and maintain sophisticated data validation scripts and frameworks that catch anomalies, enforce business rules, and guarantee the integrity of every dataset that flows through careerzynith pipelines.
- ETL/ELT Pipeline Development: Design, develop, deploy, and monitor high-performance ETL and ELT data pipelines that move and transform terabytes of structured and semi-structured data across cloud-based and on-premises environments.
- Database Architecture and Design: Architect, implement, and maintain database schemas, tables, views, and stored procedures following industry best practices for relational database design, normalization, and performance optimization.
- Data Visualization and Reporting Support: Collaborate with analytics teams to produce curated datasets that power dashboards, visualizations, machine learning models, and executive-level reporting.
- Pipeline Monitoring and Optimization: Implement proactive monitoring, alerting, and observability practices to detect pipeline failures, performance degradation, and data quality issues before they impact downstream consumers.
- Ad-Hoc Analysis and Prototyping: Support special projects, research initiatives, and rapid prototyping efforts that require quick-turnaround data engineering solutions and proof-of-concept development.
- Code Quality and DevOps: Participate in code reviews, maintain comprehensive documentation, and follow DevOps best practices for continuous integration, continuous deployment, and infrastructure-as-code.
- Automation and Scheduling: Develop and maintain automated workflow schedulers that orchestrate complex data jobs across multiple systems and time zones.
Technologies and Tools You Will Work With
At careerzynith, we embrace a modern, cloud-native data stack. You will have the opportunity to work with, and grow your expertise in, the following technologies:
- SQL Mastery: Primary work in Snowflake and PostgreSQL, with opportunities to optimize complex queries, design star and snowflake schemas, and implement advanced analytical functions.
- Python Development: Build data transformation logic, validation scripts, and automation tools using Python and its rich ecosystem of data libraries (pandas, NumPy, PySpark, etc.).
- Containerization: Leverage Docker to create reproducible, portable data engineering environments that streamline development and deployment workflows.
- Version Control and CI/CD: Use GitLab for source control, code reviews, merge requests, and continuous integration/continuous deployment pipelines.
- Workflow Orchestration: Build and maintain data pipelines using Apache Airflow, defining complex DAGs, dependencies, and scheduling logic.
- Cloud Platforms: Work extensively within AWS environments, leveraging services like S3, Glue, Lambda, Redshift, EMR, and IAM to build scalable data solutions.
- Big Data Technologies: Engage with Snowflake, Databricks, Spark, and other modern data platforms to process massive datasets efficiently.
Essential Qualifications: What You Need to Bring
To thrive in this role, candidates must possess the following foundational qualifications:
- Educational Background: A Bachelor's degree in Computer Science, Mathematics, Engineering, Information Systems, or a closely related technical field from an accredited institution.
- Professional Experience: A minimum of two (2) years of hands-on experience in ELT/ETL data pipeline development, deployment, and sustainment in production environments.
- SQL Expertise: Demonstrated proficiency in writing complex, performant SQL queries, with strong preference for experience using Snowflake or other cloud-native data warehouses.
- Python Proficiency: Solid working knowledge of Python for data manipulation, scripting, and automation tasks.
- Multi-Environment Development: Experience developing in multi-environment setups (Development, Quality Assurance, Staging, Production) and applying DevOps methodologies for code deployment and release management.
- Workflow Automation: Proven experience building and maintaining automated job schedulers and orchestration tools.
- Relational Database Design: Strong understanding of relational database principles, normalization, indexing strategies, and performance tuning.
Preferred Qualifications: What Will Set You Apart
Candidates who bring the following additional experiences will be strongly prioritized:
- Big Data Experience: Hands-on experience working with large-scale datasets and big data technologies, particularly cloud-based platforms such as Snowflake, Databricks, or similar distributed computing systems.
- Cloud Architecture Knowledge: Advanced proficiency with cloud architecture patterns and a deep understanding of AWS service offerings, including but not limited to S3, EC2, Lambda, Glue, Redshift, and IAM.
- Source Control Mastery: Demonstrated experience managing and deploying code through source control platforms such as GitLab or GitHub, including branching strategies, pull requests, and merge conflict resolution.
- Containerization Skills: Practical experience using Docker for containerization of data applications and microservices.
- Data Governance and Quality: Familiarity with data governance frameworks, data cataloging tools, data lineage tracking, and master data management concepts.
- Agile Methodologies: Experience working in Agile or Scrum environments, participating in sprint planning, daily standups, and retrospectives.
Core Skills and Competencies for Success
Beyond technical skills, the ideal candidate will demonstrate the following competencies:
- Analytical Thinking: The ability to break down complex data problems, identify root causes, and design elegant, scalable solutions.
- Attention to Detail: A meticulous approach to data quality, code quality, and documentation that ensures accuracy and reliability.
- Communication Skills: Excellent verbal and written communication abilities, with the capacity to explain technical concepts to non-technical stakeholders clearly and persuasively.
- Problem-Solving Mindset: A proactive, solutions-oriented attitude that thrives on tackling ambiguous challenges and delivering innovative outcomes.
- Collaboration and Teamwork: A natural collaborator who builds strong relationships across cross-functional teams and contributes positively to a team-first culture.
- Time Management: Strong organizational skills with the ability to manage multiple projects, prioritize effectively, and meet tight deadlines in a fast-paced environment.
- Continuous Learning: A growth mindset with a passion for staying current on emerging data technologies, industry trends, and best practices.
Career Growth, Learning, and Development Opportunities at careerzynith
At careerzynith, we believe that our people are our greatest asset, and we are deeply committed to investing in their professional growth. When you join our team, you gain access to a rich ecosystem of learning and advancement opportunities, including:
- Mentorship Programs: Pair with senior data engineers and architects who will guide your career trajectory and help you develop both technical and leadership skills.
- Professional Development Stipend: Annual budget for certifications, conferences, online courses, and books to support your continuous learning journey.
- Certification Support: Financial and study support for industry-recognized certifications such as AWS Certified Data Analytics, SnowPro Advanced, and Databricks Certified Data Engineer.
- Internal Mobility: Clear pathways for advancement into roles such as Senior Data Engineer, Data Engineering Lead, Data Architect, or Engineering Manager.
- Cross-Functional Exposure: Opportunities to collaborate with data scientists, machine learning engineers, product managers, and business leaders across multiple verticals.
- Innovation Time: Dedicated time for personal projects, research, and experimentation with new technologies that can benefit careerzynith.
Work Environment and Company Culture at careerzynith
careerzynith is more than a workplace — it is a community of passionate, curious, and driven individuals united by a shared mission to harness the power of data to create magical experiences. Our culture is built on the following foundational pillars:
- Remote-First Philosophy: Work from anywhere in the United States with a reliable internet connection. We provide the tools, technology, and support you need to thrive in a home-based environment.
- Inclusive and Diverse Workforce: We celebrate diversity in all its forms and are committed to building an inclusive environment where every team member feels valued, respected, and empowered.
- Collaboration and Transparency: Open communication, transparent decision-making, and a culture of psychological safety where every voice matters.
- Work-Life Balance: Generous paid time off, flexible scheduling, and family-friendly policies that help you maintain harmony between your professional and personal life.
- Innovation and Creativity: A culture that encourages bold thinking, creative problem-solving, and the freedom to challenge the status quo.
- Community Impact: Opportunities to participate in volunteer programs, charity partnerships, and community engagement initiatives that make a positive difference.
Compensation, Perks, and Benefits
careerzynith offers a comprehensive and competitive compensation package designed to attract and retain top talent:
- Hourly Wage: $27/hour for full-time work, with regularly scheduled hours of approximately 8 hours per day.
- Health and Wellness: Comprehensive medical, dental, and vision insurance plans with multiple coverage tiers to fit your needs.
- Retirement Planning: 401(k) plan with company match to help you build long-term financial security.
- Paid Time Off: Generous vacation days, sick leave, personal days, and paid holidays throughout the year.
- Parental Leave: Industry-leading paid parental leave policies for new parents.
- Home Office Stipend: Financial support for setting up and maintaining a productive home office, including ergonomic equipment and high-speed internet reimbursement.
- Wellness Programs: Access to mental health resources, fitness reimbursement programs, and wellness coaching.
- Employee Discounts: Exclusive discounts on careerzynith products, services, and partner offerings.
- Life and Disability Insurance: Employer-sponsored life insurance and short-term and long-term disability coverage.
How to Apply
If you are ready to take the next step in your data engineering career and join a company that values innovation, collaboration, and personal growth, we encourage you to apply today. The application process is simple and designed to respect your time.
To be considered for this exciting opportunity, please submit your updated resume along with a brief cover letter explaining why you are the ideal candidate for this role. We review applications on a rolling basis and will reach out to qualified candidates within 10 business days of submission.
At careerzynith, we are not just building data pipelines — we are building the future of entertainment, media, and consumer experiences. Every line of code you write, every pipeline you optimize, and every dataset you curate will have a tangible impact on millions of customers around the world. Come be part of something extraordinary. Apply now and let your data engineering expertise shine at careerzynith.