Job Description
The Solutions Engineer, Data Engineering is a hands-on contributor within the Microsoft Data and AI practice, responsible for building and delivering enterprise-scale data platforms using Azure and Microsoft Fabric. This role partners closely with engineering teams and clients to implement secure, scalable, and compliant data pipelines that support analytics, reporting, and AI-driven use cases.
The position is delivery-focused, with ownership of key data engineering workstreams, including large-scale lakehouse implementations for public sector and regulated industries. This primarily remote role is ideal for engineers motivated by hands-on development, Microsoft cloud innovation, and high-impact work in complex environments.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
• Hands-on data engineering experience on Microsoft Azure and or Microsoft Fabric
• Experience building end-to-end data pipelines (ingestion, transformation, storage)
• Lakehouse or data warehouse architecture experience in production environments
• Azure Data Factory for orchestration and data movement
• Azure Synapse and or Databricks for data processing and analytics workloads
• Strong SQL experience across relational data platforms (SQL Server, Azure SQL)
• Azure Data Lake Storage Gen2 experience
• Production support experience including monitoring, pipeline failures, and data refreshes
• Data modeling experience including incremental processing and historical retention
• Knowledge of data security and governance in regulated environments (RBAC, encryption, sensitive data)
• Consulting or client-facing project delivery experience
• Source control experience (Git or similar)
• CI/CD and environment promotion experience
Nice to Have Skills & Experience
• Deep hands-on experience with Microsoft Fabric workloads (Lakehouse, Warehousing, Pipelines)
• Public sector or highly regulated industry experience
• Experience enabling analytics, reporting, or AI/ML use cases
• Familiarity with enterprise data compliance requirements
• Data pipeline testing frameworks
• Strong communication skills translating business needs into technical solutions
• Microsoft Certified Azure Data Engineer Associate (active or in progress)
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.