Principal Data Engineer

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Data Engineer in United States.

This is a high-impact, hands-on leadership role focused on building and scaling modern data infrastructure in a fully remote environment. You will take ownership of designing robust data architectures and pipelines that power critical business decisions and analytics. Working closely with cross-functional teams, you’ll ensure data systems are reliable, secure, and optimized for performance at scale. The role combines deep technical expertise with strategic oversight, giving you the opportunity to define standards, frameworks, and best practices across the data ecosystem. You’ll operate in a collaborative yet autonomous setting, contributing to innovative data solutions that directly influence business growth and operational excellence.

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes using cloud-based technologies
• Own and evolve the data engineering framework, including orchestration standards, reusable components, and architectural patterns
• Collaborate with data scientists, analysts, and software engineers to deliver production-grade data solutions
• Define and enforce best practices for data engineering tools, data modeling, and pipeline performance
• Build and manage data storage solutions across relational and non-relational systems
• Ensure data quality, integrity, and reliability through validation, monitoring, and transformation processes
• Implement governance frameworks and support secure, compliant data access and usage
• Maintain comprehensive documentation for systems, workflows, and technical standards

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Requirements:

• Bachelor’s degree in Computer Science, Information Technology, or a related field
• 5+ years of experience in data engineering with ownership of production-grade systems
• Strong expertise in cloud-based data platforms, particularly within the Azure ecosystem
• Hands-on experience with data orchestration, distributed processing frameworks, and large-scale data pipelines
• Advanced proficiency in Python and SQL for data engineering and transformation tasks
• Solid understanding of data modeling, ETL/ELT design, and analytical data architectures
• Experience working with structured and unstructured data formats, APIs, and diverse data sources
• Familiarity with CI/CD pipelines, version control systems, and modern development workflows
• Strong communication skills with the ability to explain complex concepts to both technical and non-technical stakeholders
• Self-driven mindset with strong organizational, problem-solving, and decision-making abilities

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Benefits:

• Competitive compensation aligned with experience and impact
• Flexible paid time off to support work-life balance
• Fully remote work environment within the United States
• Comprehensive health, dental, and vision insurance coverage
• Collaborative and supportive team culture with high-performing peers
• Opportunities to work on cutting-edge data technologies and large-scale systems
• Career growth and development in a fast-paced, innovation-driven environment