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About careerzynith – Pioneering Entertainment Data Innovation
careerzynith is a global leader in creating immersive entertainment experiences. With a legacy of storytelling that spans movies, television, streaming platforms, and interactive media, careerzynith continuously pushes the boundaries of how audiences engage with content. Behind the magic lies a sophisticated data ecosystem that powers everything from audience insights to production efficiency. As part of its commitment to data‑driven excellence, careerzynith is expanding its Information Designing team and is looking for a seasoned Senior Data Engineer to join the remote workforce.
Why This Role Matters
In today’s fast‑moving media landscape, the ability to collect, transform, and analyze massive volumes of data is a competitive advantage. As a Senior Data Engineer at careerzynith, you will be the architect of robust ETL/ELT pipelines, the guardian of data quality, and a strategic partner to creative studios and product innovation teams. Your work will directly influence how stories are told, how audiences are understood, and how new revenue streams are unlocked.
Role Overview
The Information Designing group within careerzynith’s Data & Digital Services division is seeking a Senior Information Designer (also known as Senior Data Engineer) who can design, build, and maintain end‑to‑end data pipelines. You will collaborate with cross‑functional partners—including studio production teams, product managers, and analytics specialists—to translate business requirements into scalable data solutions that run on modern cloud platforms.
Key Responsibilities
- Pipeline Development: Design, implement, and optimize ETL/ELT data pipelines using SQL, Python, and Apache Airflow (referred to as “Wind stream” in internal terminology).
- Data Modeling: Create and maintain logical and physical data models, including dataset mappings, table designs, and view definitions that support analytics and reporting.
- Cloud Architecture: Deploy and manage data solutions on AWS (S3, Redshift, Snowflake) and other cloud platforms, ensuring high availability, security, and cost‑efficiency.
- Collaboration & Requirements Gathering: Partner with studio and product innovation teams to capture data requirements, conduct data profiling, and validate data quality throughout the development lifecycle.
- Environment Management: Manage deployments across development, QA/UAT, and production environments, using GitLab for version control and Docker for containerized workloads.
- Performance Tuning: Monitor pipeline performance, troubleshoot bottlenecks, and implement best‑practice optimizations for large‑scale data sets.
- Documentation & Governance: Produce clear documentation, data dictionaries, and governance artifacts to support regulatory compliance and internal standards.
- Process Improvement: Lead initiatives to standardize data engineering practices, introduce automation, and mentor junior engineers on best‑in‑class techniques.
Essential Qualifications
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
- Minimum 3 years of professional experience in a Data Engineering or Information Designing role.
- At least 2 years of hands‑on experience building and maintaining SQL‑based ETL/ELT pipelines.
- Proficiency in Python for data manipulation, scripting, and automation.
- Demonstrated experience with cloud platforms (AWS preferred) and object storage services such as S3.
- Experience working with data lake architectures, data warehouses, and analytical data sets (e.g., Snowflake, Databricks).
- Solid understanding of version control systems (GitLab/GitHub) and containerization technologies (Docker).
- Ability to work independently in a remote setting while maintaining strong communication with distributed teams.
Preferred Qualifications & Differentiators
- Master’s degree or advanced coursework in Data Science, Big Data, or related disciplines.
- Hands‑on experience with Apache Airflow (Wind stream) for orchestrating complex workflows.
- Familiarity with streaming data platforms and media‑focused data pipelines.
- Background in the entertainment, streaming, or digital marketing industries.
- Experience with Looker or other modern BI tools for delivering self‑service analytics.
- Knowledge of data security best practices, GDPR, and other compliance frameworks relevant to media data.
Core Skills & Competencies
- Technical Acumen: Deep expertise in relational databases (PostgreSQL, Snowflake), data modeling, and query optimization.
- Problem Solving: Ability to dissect complex data challenges, propose elegant solutions, and iterate quickly.
- Collaboration: Strong interpersonal skills to bridge the gap between technical teams and creative stakeholders.
- Communication: Clear written and verbal articulation of technical concepts to non‑technical audiences.
- Adaptability: Comfort with evolving technology stacks and a fast‑paced, innovative environment.
- Ownership: Proactive mindset with a focus on delivering high‑quality, production‑ready code.
Career Growth & Learning Opportunities
careerzynith invests heavily in employee development. As a Senior Data Engineer, you will have access to:
- Mentorship programs with senior architects and industry veterans.
- Sponsored certifications for AWS, Snowflake, and data engineering specializations.
- Opportunities to lead cross‑functional data initiatives that influence product strategy.
- Internal hackathons and innovation labs where you can experiment with emerging technologies such as machine learning pipelines, real‑time analytics, and AI‑driven content recommendation.
- A clear promotion pathway from Senior Engineer to Lead Architect, Data Platform Manager, or Director of Data Engineering.
Compensation, Perks & Benefits
While the base rate for this remote position is $28 per hour, careerzynith offers a comprehensive total rewards package that includes:
- Competitive health, dental, and vision insurance plans.
- Flexible paid time off and generous holiday schedule.
- Retirement savings options with company matching contributions.
- Professional development stipend and tuition reimbursement.
- Remote‑work allowance covering home office setup, high‑speed internet, and ergonomic equipment.
- Employee assistance programs, wellness resources, and mental‑health support.
- Access to careerzynith’s entertainment ecosystem—screenings, streaming subscriptions, and exclusive behind‑the‑scenes experiences.
Work Environment & Culture at careerzynith
careerzynith fosters a collaborative, inclusive, and forward‑thinking culture. Even though the role is fully remote, you will be part of a vibrant community that values:
- Innovation: A mindset that encourages experimentation and continuous improvement.
- Diversity & Inclusion: Programs and employee resource groups that celebrate varied perspectives.
- Transparency: Open communication channels with leadership, regular town‑halls, and clear road‑maps.
- Work‑Life Balance: Flexible schedules, asynchronous collaboration tools, and a focus on results rather than hours logged.
- Passion for Storytelling: Every data solution you build helps bring stories to life for millions of fans worldwide.
How to Apply
If you are ready to shape the data foundation of a world‑class entertainment powerhouse and thrive in a remote, high‑impact environment, we want to hear from you. Submit your resume, a brief cover letter highlighting your most relevant projects, and any portfolio or GitHub links that showcase your data engineering expertise.
and become a key player in careerzynith’s data‑driven future.
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