Senior Data Engineer – Remote (United States)

This position is listed on behalf of a partner company that manages all applications and next steps. Our partner is seeking a Senior Data Engineer based in the United States to design and deliver modern data solutions that enable smarter business decisions through analytics and engineering practices.

You will design, develop, and maintain data pipelines, data warehouses and data lake environments, and analytics applications that support enterprise decisions. Build robust databases, data pipelines, and BI solutions; develop data transformations and data models; create dashboards and reporting capabilities.

Design and implement scalable data solutions using modern cloud technologies and data engineering best practices, including ETL/ELT, data modeling (dimensional/Kimball), and data quality management. Collaborate directly with clients to understand business challenges, gather requirements, and translate them into effective technical solutions. Participate in all phases of analytics development—from discovery to design, implementation, documentation, and continuous improvement. Align with Agile and CI/CD practices and work with cross-functional teams to deliver reliable data platforms. Communicate complex technical concepts clearly to both technical and non-technical stakeholders. Manage multiple projects while meeting customer expectations, deadlines, and quality standards. Provide recommendations to enhance analytics capabilities and business outcomes and share knowledge to support team success.

Senior Data Engineer – Remote (United States)

This position is listed on behalf of a partner company that manages all applications and next steps. Our partner is seeking a Senior Data Engineer based in the United States to design and deliver modern data solutions that enable smarter business decisions through analytics and engineering practices.

You will design, develop, and maintain data pipelines, data warehouses and data lake environments, and analytics applications that support enterprise decisions. Build robust databases, data pipelines, and BI solutions; develop data transformations and data models; create dashboards and reporting capabilities.

Design and implement scalable data solutions using modern cloud technologies and data engineering best practices, including ETL/ELT, data modeling (dimensional/Kimball), and data quality management. Collaborate directly with clients to understand business challenges, gather requirements, and translate them into effective technical solutions. Participate in all phases of analytics development—from discovery to design, implementation, documentation, and continuous improvement. Align with Agile and CI/CD practices and work with cross-functional teams to deliver reliable data platforms. Communicate complex technical concepts clearly to both technical and non-technical stakeholders. Manage multiple projects while meeting customer expectations, deadlines, and quality standards. Provide recommendations to enhance analytics capabilities and business outcomes and share knowledge to support team success.