About The Position

As a Principal Data Engineer, you will work collaboratively with a diverse team of experts to solve complex business challenges using innovative thinking and modern technology. We will count on you to prioritize, self-direct and execute at velocity. Along the way, you will get to: Design and develop cutting-edge enterprise data solutions in a fast-paced environment Lead discussions with clients and recommend technical solutions for business cases Design and code modern solutions to tough data challenges leveraging the cloud Lead and collaborate with sharp, passionate teammates, provide feedback on others’ work, and encourage innovation and best practices internally and externally Be AmbITious: This opportunity is not just about what you do today but also about where you can go tomorrow. When you bring your hunger, heart, and harmony to Insight, your potential will be met with continuous opportunities to upskill, earn promotions, and elevate your career.

Requirements

  • Strong communication skills with technical and non-technical stakeholders/clients, including active listening, critical thinking, presentation skills, coaching, empathy, dependability, and creativity. Experience talking to people in various industries and corporate levels including C-Levels, Engineers, Business Intelligence Analysis, Business Unit Leaders, Field workers.
  • Extensive Experience in cloud technologies, data and data analytics development including:
  • 6+ years of Cloud/Data Analytics including Microsoft Fabric and Microsoft Data Services including OneLake, Azure Data Warehouse, SQL DB, SQL VMs, Purview, Azure Databricks, Azure Data Factory, Azure Synapse,
  • Databricks including Unity Catalog, Delta Lake
  • 6+ years of Visualization tools including extensive Power BI experience (having PBI to Fabric migration knowledge), Tableau, Qlik, and SSRS a plus.
  • Machine Learning including predictive/prescriptive analytics with R, Python
  • Development and Scripting including CI/CD methodology, using PowerShell, Azure Automations services, Terraform, GitHub Actions.

Responsibilities

  • Design and develop cutting-edge enterprise data solutions in a fast-paced environment
  • Lead discussions with clients and recommend technical solutions for business cases
  • Design and code modern solutions to tough data challenges leveraging the cloud
  • Lead and collaborate with sharp, passionate teammates, provide feedback on others’ work, and encourage innovation and best practices internally and externally

Benefits

  • Freedom to work from another location—even an international destination—for up to 30 consecutive calendar days per year.
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