Senior Data Engineer / Power BI Developer

Global Information TechnologyDelta Charter Township, MI
1dRemote

About The Position

Design, develop, and maintain scalable data pipelines and ETL/ELT processes Build, optimize, and maintain Power BI reports, dashboards, and semantic models Extract, transform, and integrate data from Microsoft Dynamics 365 environments Write, optimize, and troubleshoot complex SQL queries and stored procedures Develop Python notebooks for data transformation, automation, and analysis Lead data migration initiatives, including planning, execution, validation, and reconciliation Collaborate with business stakeholders to gather requirements and translate them into technical solutions Ensure data quality, performance, security, and governance across analytics platforms Support deployment, monitoring, and optimization of data solutions in production

Requirements

  • 8+ years of experience in data engineering and business intelligence
  • Strong experience with Microsoft Fabric (Data Factory, Synapse, Lakehouse)
  • Advanced expertise in Power BI, including DAX, Power Query, dataflows, and deployment pipelines
  • Strong proficiency in SQL Server / Azure SQL, including T-SQL and performance tuning
  • Proficiency in Python, including pandas, PySpark, and notebook development
  • Hands-on experience with Dynamics 365 data structures and integration patterns
  • Proven experience with data migration methodologies and validation techniques

Nice To Haves

  • Experience with the Azure Data Services ecosystem
  • Strong knowledge of data modeling, data warehousing, and dimensional design
  • Experience with version control and CI/CD pipelines for data and BI projects
  • Familiarity with data governance, security, and compliance best practices

Responsibilities

  • Design, develop, and maintain scalable data pipelines and ETL/ELT processes
  • Build, optimize, and maintain Power BI reports, dashboards, and semantic models
  • Extract, transform, and integrate data from Microsoft Dynamics 365 environments
  • Write, optimize, and troubleshoot complex SQL queries and stored procedures
  • Develop Python notebooks for data transformation, automation, and analysis
  • Lead data migration initiatives, including planning, execution, validation, and reconciliation
  • Collaborate with business stakeholders to gather requirements and translate them into technical solutions
  • Ensure data quality, performance, security, and governance across analytics platforms
  • Support deployment, monitoring, and optimization of data solutions in production
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