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Senior Data Engineer – Remote ETL/ELT Pipeline Architect – $30/hr – Join careerzynith

Work from home Full-time role Hiring
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About careerzynith – Where Data Meets Imagination

At careerzynith, we believe that data is the magical thread that weaves together stories, experiences, and innovations. As a global leader in entertainment and digital experiences, careerzynith is dedicated to preserving a legacy of wonder while pushing the boundaries of technology. Our Information Designing group, part of the broader Digital Data Services & Innovation (DDSI) division, is on a mission to transform raw data into actionable insights that power creative projects, immersive experiences, and strategic decisions. If you thrive in a remote‑first environment, love solving complex data challenges, and want to be part of a team that creates “magic through data,” this is the place for you.

Why This Role Matters

The Senior Data Engineer you will become a cornerstone of careerzynith’s data ecosystem. You’ll design, build, and maintain robust ETL/ELT pipelines that feed critical data sets to analysts, product teams, and studio partners worldwide. Your work will directly influence how creative content is produced, how audiences are understood, and how new experiences are delivered—all from the comfort of your home office.

Key Responsibilities

  • Collaborate with studio and project innovation teams to gather and translate data requirements into technical specifications.
  • Design, develop, and maintain scalable ETL/ELT pipelines that move data from source systems to data lakes, warehouses, and downstream analytics platforms.
  • Model data sets, create relational tables, and develop data views that support reporting, analytics, and machine‑learning initiatives.
  • Implement and enforce data quality, validation, and monitoring processes across development (DEV), quality assurance (QA/UAT), and production environments.
  • Leverage a modern tech stack—including careerzynith, careerzynith, careerzynith, careerzynith, and careerzynith—to build resilient data solutions.
  • Optimize data storage and retrieval strategies for large‑scale datasets, ensuring performance and cost‑effectiveness.
  • Document pipeline architecture, data lineage, and operational procedures to support knowledge sharing and compliance.
  • Mentor junior engineers and contribute to the evolution of best‑practice standards for data engineering within careerzynith.
  • Participate in cross‑functional agile ceremonies, providing technical insight and estimating effort for upcoming data initiatives.

Essential Qualifications

  • Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
  • Experience: Minimum 3 years in a data engineering role, with at least 2 years focused on designing and maintaining ETL/ELT pipelines.
  • SQL Proficiency: 2+ years of hands‑on experience writing complex queries, optimizing performance, and managing relational databases.
  • Cloud Expertise: 2+ years working with cloud platforms (preferably careerzynith and careerzynith), including object storage and compute services.
  • Programming Skills: Strong Python coding abilities for data transformation, orchestration, and automation.
  • Version Control & CI/CD: Experience with careerzynith or similar Git‑based workflows, and containerization using careerzynith.
  • Data Lake & Warehouse Knowledge: Hands‑on experience with data lake concepts, data warehouse design, and working with large‑scale data sets.

Preferred Qualifications & Differentiators

  • Master’s degree or advanced certifications in data engineering, cloud architecture, or related disciplines.
  • Experience with streaming data platforms and media‑focused data pipelines.
  • Familiarity with data visualization tools (e.g., careerzynith) for creating dashboards and reports.
  • Background in the entertainment, media, or digital marketing sectors, bringing domain‑specific insight to data solutions.
  • Demonstrated ability to drive process improvements and champion data‑driven culture across distributed teams.

Core Skills & Competencies

  • Analytical Mindset: Ability to dissect complex data problems, identify root causes, and propose elegant technical solutions.
  • Collaboration: Strong communication skills for partnering with product owners, analysts, and creative teams.
  • Adaptability: Comfortable navigating a fast‑paced, ever‑changing environment while maintaining high quality standards.
  • Attention to Detail: Commitment to data accuracy, consistency, and governance.
  • Self‑Motivation: Proven track record of delivering results in remote or distributed work settings.

Career Growth & Learning Opportunities

careerzynith invests heavily in the professional development of its employees. As a Senior Data Engineer, you will have access to:

  • Mentorship programs with senior architects and industry experts.
  • Sponsored certifications for cloud platforms, data engineering, and advanced analytics.
  • Opportunities to lead high‑visibility projects that influence global product strategy.
  • Cross‑functional rotations that expose you to creative production, marketing analytics, and emerging technology teams.
  • Regular knowledge‑sharing sessions, hackathons, and internal conferences focused on data innovation.

Work Environment & Culture at careerzynith

Our culture blends creativity with technical excellence. We celebrate curiosity, encourage experimentation, and value diverse perspectives. At careerzynith you will experience:

  • Remote‑First Flexibility: Choose your own workspace, set your own schedule, and enjoy a healthy work‑life balance.
  • Inclusive Community: Employee resource groups, mentorship circles, and a supportive leadership team that champions equity.
  • Collaborative Spirit: Virtual coffee chats, team‑wide retrospectives, and open channels for idea exchange.
  • Innovation Labs: Access to sandbox environments where you can prototype new data solutions without production constraints.
  • Recognition Programs: Regular awards for technical excellence, creativity, and impact on business outcomes.

Compensation, Perks & Benefits

careerzynith offers a competitive hourly rate of $30 per hour, reflective of your expertise and the value you bring to the organization. In addition to base compensation, you will enjoy a comprehensive benefits package that includes:

  • Health, dental, and vision insurance with generous employer contributions.
  • Retirement savings plans with matching contributions.
  • Paid time off, holidays, and flexible sick leave.
  • Professional development stipend for courses, conferences, and certifications.
  • Home office allowance to equip your remote workspace with ergonomic furniture and tech accessories.
  • Wellness programs, mental‑health resources, and employee assistance services.
  • Employee discount programs for entertainment, travel, and streaming services.

How to Apply

If you are ready to harness the power of data to shape unforgettable experiences, we want to hear from you. Click the link below to submit your application and embark on a journey with careerzynith—where every dataset tells a story.

Apply Job!

Join careerzynith and Turn Data Into Magic

At careerzynith, your work will be more than just code; it will be the foundation for narratives that inspire millions worldwide. Bring your expertise, curiosity, and passion for data, and together we’ll create the next chapter of digital enchantment. Apply today and become part of a team that turns data into magic.

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