Principal Data Engineer

United StatesFull-TimePrincipal

Salary not disclosed

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Job Details

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

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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