via Remote Rocketship
$120K - 150K a year
Design and implement end-to-end data and analytics solutions for enterprise clients, integrating data sources and configuring cloud infrastructure.
Requires 3+ years in data engineering with Azure, proficiency in data modeling, ETL/ELT, T-SQL, Azure Data Factory, Data Lake, and Data Warehouse, with experience in Agile practices.
Job Description: • Design, build, and deliver end-to-end data and analytics solutions for enterprise clients • Discuss best practices and strategies for modern data and analytics with clients • Integrate data sources to build models and reports for business users • Configure and operationalize cloud infrastructure in Azure • Speak intelligently to Microsoft’s cloud data strategy and roadmap • Stay current with Microsoft technologies and modern data platform best practices Requirements: • Data engineering experience in Azure • Familiar with modern data platform technologies like Azure Analysis Services, Azure Data Lake, Azure Databricks, Azure Data Warehouse, and Azure Data Factory • 3+ years of experience in data engineering and modeling • Ability to design an end-to-end data analytics solution architecture and drive its implementation • Deep understanding of Agile engineering practices • Data Warehousing • Data ETL/ELT • Data Modeling (Dimensional/Kimball) • T-SQL • Azure Data Factory (or strong SSIS experience) • Azure Data Lake Store • SQL Server/Azure SQL • Azure Analysis Services or SQL Server Analysis Services (SSAS) - Tabular • Azure DevOps/Continuous Integration & Continuous Delivery Benefits: • Health, Vision, and Dental Insurance • Life Insurance • Health/Dependent Care Flexible Spending • 401(k) Plan • Short-Term and Long-Term Disability Coverage • Generous Vacation and Flex Time Off Programs • Company Paid Holidays • Training and Development Opportunities
This job posting was last updated on 2/16/2026