Azure Data Engineer

Mindlance

Washington, DC

JOB DETAILS
SKILLS
Artificial Intelligence (AI), Best Practices, Data Lake, Data Management, Data Modeling, Data Quality, Data Sets, Data Warehousing, Diversity, Microsoft Product Family, Microsoft Windows Azure, Performance Modeling, Performance Tuning/Optimization, Power BI, Power Engineering, Reporting Dashboards, Requirements Management, SQL (Structured Query Language), Scalable System Development, Use Cases
LOCATION
Washington, DC
POSTED
30+ days ago

Role: Azure Data Engineer
Location: Washington, DC 20433
Duration: Long Term
Hybrid Onsite: 4 days per week from Day 1, with a full transition to 100% onsite anticipated soon

Job Overview:
We are looking for an experienced Azure Data Engineer with strong Power BI expertise to design, build, and optimize scalable data solutions. The ideal candidate should have deep knowledge of data warehousing, lakehouse architecture, and hands-on experience with Microsoft Fabric and OneLake, along with exposure to AI/ML concepts.

Key Responsibilities:

  • Design and develop scalable data pipelines using Azure data services
  • Build and maintain data warehouse and lakehouse architectures
  • Develop interactive dashboards and reports using Power BI
  • Work with large-scale structured and unstructured datasets
  • Implement data integration solutions using Azure Data Factory, Synapse Analytics
  • Collaborate with business teams to translate requirements into technical solutions
  • Optimize data models for performance and scalability
  • Ensure data quality, governance, and security best practices
  • Work with Microsoft Fabric and OneLake for unified data management
  • Support and integrate AI/ML use cases within data pipelines
Required Skills:
  • Strong experience with Azure Data Services (ADF, Synapse, Data Lake)
  • Hands-on experience in Power BI (DAX, dashboards, data modeling)
  • Solid understanding of Data Warehousing concepts
  • Experience with Lakehouse architecture
  • Knowledge of Microsoft Fabric and OneLake
  • Strong SQL and data transformation skills
  • Understanding of AI/ML concepts and data integration
Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

About the Company

M

Mindlance