Senior Data Engineer – Cloud‑Based ETL/ELT Architecture & Data Modeling – Remote (careerzynith) – $28/hr

About careerzynith

careerzynith is a global leader in entertainment and media technology, delivering immersive experiences to millions of fans worldwide. With a legacy of storytelling excellence and a forward‑thinking approach to data, careerzynith leverages cutting‑edge cloud platforms, advanced analytics, and AI‑driven insights to power its creative studios, streaming services, and interactive products. As the company continues to expand its digital footprint, the demand for sophisticated data pipelines and robust data models has never been higher. This is your chance to join a visionary organization that blends creativity with technology, and to help shape the data foundation that drives every blockbuster, series, and interactive experience.

Why This Role Matters

At careerzynith, data is the lifeblood of every decision—from content acquisition and audience personalization to operational efficiency and revenue optimization. As a Senior Data Engineer, you will be the architect of the pipelines that ingest, transform, and deliver high‑quality data to analysts, data scientists, and product teams across the globe. Your work will directly influence how the company discovers new talent, predicts viewer trends, and creates unforgettable moments for audiences everywhere.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines that move terabytes of data from source systems into cloud‑based data warehouses such as Snowflake and Databricks.
• Collaborate with Studio and Project Technology partners to gather data requirements, translate business needs into technical specifications, and ensure data quality throughout the lifecycle.
• Build and optimize data models, schemas, and views that support reporting, analytics, and machine‑learning workloads.
• Implement robust data validation, testing, and monitoring frameworks using tools like GitLab CI/CD, Docker, and Apache Airflow (referred to as “Wind stream” in internal terminology).
• Manage data lake and data warehouse environments on AWS, including S3 storage, IAM policies, and cost‑optimization strategies.
• Drive best‑practice standards for data engineering, including code review processes, documentation, and version control using GitLab/GitHub.
• Mentor junior engineers, share knowledge across teams, and champion a culture of continuous improvement and automation.
• Participate in cross‑functional agile ceremonies, providing technical insight during sprint planning, retrospectives, and stakeholder demos.
• Stay current with emerging data technologies, evaluate new tools, and propose innovative solutions that keep careerzynith at the forefront of the media data landscape.

Essential Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
• Minimum 2 years of hands‑on experience with SQL, including complex query design, performance tuning, and data manipulation.
• At least 2 years of experience designing, building, and maintaining ETL/ELT pipelines in a production environment.
• Demonstrated expertise with cloud platforms (AWS preferred), specifically S3, IAM, and related services.
• Minimum 3 years of experience in a data engineering role, with a track record of delivering reliable data solutions.
• Proficiency in Python for scripting, data transformation, and automation.
• Experience working with Docker containers and orchestrating deployments via GitLab CI/CD pipelines.
• Familiarity with Apache Airflow (Wind stream) for workflow orchestration and scheduling.
• Hands‑on experience with Snowflake, Databricks, or comparable cloud‑based data warehouses.

Preferred Qualifications & Nice‑to‑Have Skills

• Master’s degree or advanced coursework in Data Science, Big Data, or related disciplines.
• Professional experience in the streaming, media, or digital entertainment industry.
• Exposure to Looker or other modern BI tools for building dashboards and visualizations.
• Knowledge of data lake architectures, data vault modeling, and data cataloging solutions.
• Experience with version control systems beyond GitLab, such as GitHub or Bitbucket.
• Understanding of data security, compliance (e.g., GDPR, CCPA), and governance best practices.
• Strong communication skills, with the ability to translate technical concepts for non‑technical stakeholders.

Core Skills & Competencies

• Analytical mindset: Ability to dissect complex data problems and devise elegant, scalable solutions.
• Collaboration: Proven track record of working effectively with cross‑functional teams, including product managers, data scientists, and business analysts.
• Problem‑solving: Comfortable troubleshooting production issues, performing root‑cause analysis, and implementing preventive measures.
• Automation‑first approach: Passion for building reusable, automated pipelines that reduce manual effort and increase reliability.
• Continuous learning: Commitment to staying up‑to‑date with the latest data engineering trends, tools, and best practices.
• Documentation: Ability to produce clear, concise technical documentation and data dictionaries for internal consumption.

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 veterans.
• Sponsored certifications for AWS, Snowflake, and other leading data platforms.
• Internal hackathons and innovation labs where you can prototype new data products.
• Opportunities to transition into data‑science leadership, architecture, or product‑management roles as your career evolves.
• Regular knowledge‑sharing sessions, webinars, and conferences to keep you at the cutting edge of data technology.

Work Environment & Culture at careerzynith

careerzynith fosters a vibrant, inclusive, and collaborative culture where creativity meets technology. Our remote‑first policy empowers you to work from anywhere in the United States while staying tightly connected to global teams through video calls, virtual whiteboards, and asynchronous communication tools. We celebrate diversity, encourage curiosity, and recognize achievements through peer‑to‑peer awards, quarterly town halls, and a transparent feedback loop. Whether you’re brainstorming a new data model or troubleshooting a pipeline, you’ll find a supportive community that values both technical excellence and the human side of innovation.

Compensation, Benefits & Perks

We offer a competitive hourly rate of $28 per hour, complemented by a comprehensive benefits package that includes:

• Health, dental, and vision insurance with generous employer contributions.
• 401(k) retirement plan with matching contributions.
• Paid time off, holidays, and flexible scheduling to support work‑life balance.
• Wellness stipend, mental‑health resources, and employee assistance programs.
• Professional development budget for courses, certifications, and conferences.
• Access to cutting‑edge technology stacks, cloud credits, and a home‑office allowance.
• Employee discount programs for careerzynith entertainment products and partner services.

How to Apply

If you are ready to shape the data future of a world‑class entertainment powerhouse, we want to hear from you. Click the link below to submit your application, attach your resume, and tell us why you’re the perfect fit for the Senior Data Engineer role at careerzynith.

Apply Job!