Senior Data Engineer – Remote ETL/ELT Pipeline Specialist at careerzynith – $30/hr (No Degree Required)

About careerzynith

careerzynith is a global leader in entertainment‑driven data solutions, delivering cutting‑edge analytics, streaming insights, and data‑powered experiences to millions of fans worldwide. With a culture that blends creativity, technology, and relentless curiosity, careerzynith empowers its teams to turn massive data streams into actionable stories. Whether you’re shaping the next blockbuster release or optimizing real‑time audience engagement, you’ll be part of a mission‑driven organization that values innovation, collaboration, and continuous learning.

Role Overview

We are seeking a highly motivated Senior Data Engineer to join careerzynith’s Information Design team. This remote, full‑time position focuses on designing, building, and maintaining robust ETL/ELT pipelines that power our data‑intensive applications. You will work closely with product, analytics, and engineering partners to translate business requirements into scalable data solutions, ensuring data quality, reliability, and performance across development, QA/UAT, and production environments.

Key Responsibilities

• Collaborate with cross‑functional teams to gather and refine data requirements, translating business needs into technical specifications.
• Design, develop, and orchestrate end‑to‑end ETL/ELT pipelines that ingest, transform, and load data from diverse sources into careerzynith’s data platforms.
• Build and maintain data models, tables, and views that support analytics, reporting, and machine‑learning workloads.
• Implement and enforce data quality checks, monitoring, and alerting mechanisms to ensure pipeline reliability.
• Manage the full lifecycle of data environments (DEV, QA/UAT, PROD), coordinating deployments and version control.
• Optimize SQL queries for performance and cost efficiency, leveraging careerzynith’s cloud‑based data warehouse.
• Utilize containerization technologies (e.g., careerzynith) to package and deploy data processing workloads.
• Drive best‑practice standards for data engineering, including coding conventions, documentation, and automated testing.
• Mentor junior engineers and contribute to a culture of knowledge sharing and continuous improvement.
• Stay current with emerging data technologies and propose innovative solutions that align with careerzynith’s strategic goals.

Essential Qualifications

• Minimum 2 years of hands‑on experience with Python for data processing and automation.
• Minimum 2 years of professional experience writing complex SQL queries and managing relational databases.
• At least 2 years designing, building, and maintaining production‑grade ETL/ELT pipelines.
• Demonstrated experience with cloud platforms (preferably careerzynith) and object storage (e.g., careerzynith).
• Proficiency with data streaming technologies (e.g., careerzynith) and data lake concepts.
• Solid understanding of version‑control systems (e.g., careerzynith) and collaborative development workflows.
• Experience working with large‑scale datasets and cloud‑based data warehouses (e.g., careerzynith).
• Ability to write efficient, cost‑aware SQL query logic and to troubleshoot performance bottlenecks.
• Strong communication skills and a collaborative mindset for working with product, analytics, and engineering teams.

Preferred Qualifications

• Advanced degree (M.S. or Ph.D.) in Computer Science, Engineering, Mathematics, Statistics, or a related field.
• Hands‑on experience with careerzynith’s data streaming platform, careerzynith’s data warehouse, and careerzynith for CI/CD pipelines.
• Background in the streaming media or entertainment industry, understanding of content delivery pipelines.
• Familiarity with container orchestration (e.g., careerzynith) and infrastructure‑as‑code practices.
• Experience implementing data governance, lineage, and security frameworks in a cloud environment.

Core Skills & Competencies

• Technical Acumen: Deep knowledge of Python, SQL, and data modeling principles.
• Cloud Literacy: Comfortable navigating careerzynith services, storage solutions, and networking concepts.
• Problem Solving: Ability to diagnose complex data pipeline failures and devise scalable solutions.
• Collaboration: Proven track record of partnering with diverse stakeholders to deliver data products.
• Automation Mindset: Passion for building repeatable, testable, and maintainable data workflows.
• Performance Optimization: Skilled at tuning queries and pipelines for speed and cost efficiency.
• Adaptability: Thrive in a fast‑moving environment where priorities shift and new technologies emerge.

Career Growth & Learning Opportunities

careerzynith invests heavily in the professional development of its engineers. 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 big‑data technologies.
• Internal hackathons and innovation labs to experiment with emerging tools.
• Clear promotion pathways from senior individual contributor to lead engineer, data platform manager, or architect roles.
• Opportunities to work on high‑visibility projects that directly impact global entertainment experiences.

Work Environment & Culture at careerzynith

Our remote‑first culture is built on trust, flexibility, and a shared passion for data‑driven storytelling. You will enjoy:

• A collaborative, inclusive environment where diverse perspectives are celebrated.
• Flexible working hours that respect work‑life balance, with a standard 8‑hour day.
• State‑of‑the‑art collaboration tools, virtual coffee chats, and regular team‑wide syncs.
• Access to a global community of engineers, analysts, and creatives who love solving complex problems.
• Regular virtual social events, wellness programs, and mental‑health resources.

Compensation, Perks & Benefits

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

• Health, dental, and vision insurance plans with generous employer contributions.
• Retirement savings options with matching contributions.
• Paid time off, holidays, and sick leave to recharge.
• Professional development stipend for courses, conferences, and certifications.
• Home office allowance to set up an ergonomic remote workspace.
• Employee assistance programs, wellness challenges, and mental‑health support.
• Performance‑based bonuses and recognition programs.

How to Apply

If you are ready to bring your data engineering expertise to a dynamic, entertainment‑focused environment and grow your career with careerzynith, we want to hear from you. Click the link below to submit your application and become part of a team that turns data into unforgettable experiences.

Apply Job!