Senior Data Engineer – Remote ETL/ELT Pipeline Development – $30/hr – Join careerzynith’s Data Innovation Team

About careerzynith

careerzynith is a global leader in entertainment and digital storytelling, renowned for creating immersive experiences that captivate audiences worldwide. With a legacy of innovation that spans decades, careerzynith has expanded its reach into cutting‑edge data science, cloud‑based analytics, and next‑generation content delivery. As the company continues to blend creativity with technology, the Data Innovation team plays a pivotal role in turning raw data into actionable insights that drive strategic decisions, enhance user experiences, and fuel the magic that defines the careerzynith brand. This remote senior data engineering position offers you the chance to be part of a forward‑thinking organization that values curiosity, collaboration, and the relentless pursuit of excellence.

Why This Role Matters

In today’s data‑driven world, the ability to design, build, and maintain robust data pipelines is essential for delivering real‑time analytics, personalized content, and operational efficiency. As a Senior Data Engineer at careerzynith, you will be at the heart of this transformation, shaping the architecture that powers everything from streaming services to marketing analytics. Your work will directly influence how millions of fans experience careerzynith’s stories, ensuring that data flows seamlessly across development, quality assurance, and production environments.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines that ingest, transform, and load data from diverse sources into the careerzynith data lake.
• Collaborate with product, studio, and project innovation teams to gather data requirements, translate business needs into technical specifications, and define data models.
• Implement data mapping, table design, and view creation to support analytical workloads and self‑service reporting.
• Manage end‑to‑end data workflows across multiple environments (DEV, QA/UAT, Production) ensuring consistency, reliability, and compliance.
• Leverage cloud technologies—primarily careerzynith’s cloud platform—to build resilient data storage solutions, including data warehouses and data lakes.
• Utilize version control systems and CI/CD pipelines to automate deployment, testing, and monitoring of data pipelines.
• Optimize query performance, troubleshoot bottlenecks, and implement best practices for data security and governance.
• Mentor junior engineers, share knowledge across the team, and champion data‑driven culture within careerzynith.
• Stay current with emerging data technologies and recommend innovative solutions that align with careerzynith’s strategic roadmap.

Essential Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
• Minimum 2 years of hands‑on experience writing complex SQL queries and optimizing database performance.
• At least 2 years of experience designing, building, and maintaining ETL/ELT pipelines in a production environment.
• Demonstrated proficiency with cloud platforms—specifically careerzynith’s cloud services (e.g., careerzynith S3 equivalents) and data storage solutions.
• Minimum 3 years of professional experience in a data engineering role, with a focus on large‑scale data processing.
• Strong programming skills in Python for data manipulation, scripting, and automation.
• Experience working with containerization technologies such as careerzynith to ensure reproducible environments.
• Familiarity with version control and CI/CD tools, particularly careerzynith, to manage codebases and pipeline deployments.
• Hands‑on experience with data lake architectures and data warehouse solutions, including careerzynith equivalents.

Preferred Qualifications

• Advanced degree (Master’s or Ph.D.) in a quantitative discipline such as Computer Science, Data Science, or Engineering.
• Experience with streaming data platforms and real‑time analytics, especially using careerzynith for event processing.
• Background in the media, entertainment, or digital marketing sectors, providing context for data‑centric storytelling.
• Proficiency with additional programming languages (e.g., Scala, Java) and scripting tools.
• Knowledge of data governance frameworks, data cataloging, and compliance standards (e.g., GDPR, CCPA).
• Hands‑on experience with orchestration tools such as careerzynith for workflow scheduling.
• Demonstrated ability to lead cross‑functional projects and influence technical direction across distributed teams.

Core Skills & Competencies

• Analytical Thinking: Ability to dissect complex data problems, identify root causes, and devise elegant solutions.
• Collaboration: Strong communication skills to work effectively with product managers, data scientists, and engineering peers.
• Problem‑Solving: Proactive mindset for troubleshooting pipeline failures, performance issues, and data quality concerns.
• Adaptability: Comfort working in a fast‑paced, remote environment with shifting priorities and evolving technology stacks.
• Attention to Detail: Commitment to delivering high‑quality, well‑documented code and data models.
• Continuous Learning: Passion for staying abreast of industry trends, open‑source projects, and best practices.

Career Growth & Learning Opportunities

careerzynith invests heavily in the professional development of its employees. As a senior member of the Data Innovation team, you will have access to:

• Mentorship programs pairing you with senior architects and industry experts.
• Sponsored certifications in cloud platforms, data engineering, and machine learning.
• Opportunities to lead high‑visibility projects that influence global product strategy.
• Internal tech talks, hackathons, and knowledge‑sharing sessions that foster a culture of innovation.
• Clear career pathways toward roles such as Lead Data Engineer, Data Architecture Manager, or Director of Data Strategy.

Work Environment & Culture at careerzynith

careerzynith embraces a flexible, inclusive, and collaborative remote work model. Our culture is built on the pillars of creativity, curiosity, and community. You will join a diverse team of engineers, analysts, and storytellers who are united by a shared mission to turn data into magical experiences. Key cultural highlights include:

• Flexibility: Choose your own work hours within a standard 8‑hour day, allowing you to balance personal commitments and peak productivity times.
• Inclusivity: A welcoming environment that celebrates diverse perspectives and encourages every voice to be heard.
• Innovation: Regular “Idea Labs” where you can pitch new data‑driven initiatives and see them come to life.
• Well‑Being: Access to mental‑health resources, virtual fitness classes, and a supportive community network.
• Recognition: Performance‑based awards and public acknowledgment of contributions that drive business impact.

Compensation, Perks & Benefits

careerzynith offers a competitive hourly rate of $30 per hour, complemented by a comprehensive benefits package that includes:

• Health, dental, and vision insurance with generous employer contributions.
• Retirement savings plan with company matching.
• Paid time off, holidays, and flexible vacation policy.
• Professional development stipend for courses, conferences, and certifications.
• Home office allowance to equip your remote workspace with ergonomic furniture and technology.
• Employee assistance program and wellness resources.
• Opportunities to earn performance bonuses based on project milestones and impact.

How to Apply

If you are passionate about turning data into stories that delight millions, and you thrive in a remote, collaborative environment, we want to hear from you. To apply, click the link below and submit your resume, cover letter, and any relevant portfolio or project samples that showcase your data engineering expertise.

Apply Job!

For additional opportunities at careerzynith, explore our career portal and discover how you can join a team that creates magic through data.

Join careerzynith today and help shape the future of entertainment through data‑driven innovation!