Senior Data Engineer - United States (Remote)
A partner company is seeking a Senior Data Engineer to design and build scalable data pipelines and cloud-based data infrastructure that power business intelligence and analytics. You will develop reliable data pipelines, optimize cloud-based infrastructure, and enable teams to leverage high-quality data. You will work closely with analysts, engineers, and business stakeholders to translate complex requirements into effective technical solutions and contribute to modernizing data operations in a remote-first environment. This role combines hands-on engineering with strategic problem-solving and ownership of critical data platforms.
Responsibilities
Design, develop, and maintain scalable data pipelines and infrastructure supporting data integration, processing, and storage
Build and optimize data models within Azure Synapse Analytics to support enterprise data warehousing
Senior Data Engineer - United States (Remote)
A partner company is seeking a Senior Data Engineer to design and build scalable data pipelines and cloud-based data infrastructure that power business intelligence and analytics. You will develop reliable data pipelines, optimize cloud-based infrastructure, and enable teams to leverage high-quality data. You will work closely with analysts, engineers, and business stakeholders to translate complex requirements into effective technical solutions and contribute to modernizing data operations in a remote-first environment. This role combines hands-on engineering with strategic problem-solving and ownership of critical data platforms.
Responsibilities
Design, develop, and maintain scalable data pipelines and infrastructure supporting data integration, processing, and storage
Build and optimize data models within Azure Synapse Analytics to support enterprise data warehousing
Develop and maintain ETL processes using Python and other programming languages
Manage and optimize Apache Spark environments to support high-performance data processing
Implement data governance, security, and quality practices to ensure accurate and reliable information
Use Azure DevOps to support CI/CD and agile development workflows
Ensure data integrity across platforms by monitoring performance, identifying issues, and implementing improvements
Evaluate emerging technologies and recommend solutions to enhance data infrastructure capabilities
Partner with engineering, analytics, and business teams to translate complex require
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