

Agile Tech Labs
Senior Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer / Power BI Developer with 10+ years of experience. The contract is W2, remote, focusing on Microsoft Fabric, Power BI, SQL, and Python. Key skills include ETL/ELT pipelines and Dynamics 365 integration.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
January 17, 2026
π - Duration
Unknown
-
ποΈ - Location
Remote
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#Pandas #Python #SQL (Structured Query Language) #Data Modeling #Spark (Apache Spark) #Deployment #Data Migration #DAX #Scala #Migration #Azure #"ETL (Extract #Transform #Load)" #Dataflow #PySpark #Semantic Models #BI (Business Intelligence) #Data Pipeline #SQL Server #Azure SQL #Synapse #Data Engineering #Microsoft Power BI
Role description
Senior Data Engineer / Power BI Developer
Location: Remote
Experience: 10+ years
W2 candidates only
Role Summary:
Design and deliver scalable data pipelines and high-impact Power BI analytics using Microsoft Fabric and Azure data services.
Key Responsibilities:
Build and manage ETL/ELT pipelines and data migrations
Develop Power BI dashboards, semantic models, and DAX
Integrate data from Dynamics 365
Write and optimize SQL and Python-based transformations
Must-Have Skills:
β’ Microsoft Fabric (Data Factory, Synapse, Lakehouse)
β’ Power BI (DAX, Power Query, dataflows, deployment pipelines)
β’ SQL Server / Azure SQL (T-SQL, performance tuning)
β’ Python (pandas, PySpark, notebook development)
β’ Dynamics 365 data structures and integration patterns
β’ Data migration methodologies and validation techniques
Nice to Have:
Azure Data Services, data modeling, CI/CD for data projects
Senior Data Engineer / Power BI Developer
Location: Remote
Experience: 10+ years
W2 candidates only
Role Summary:
Design and deliver scalable data pipelines and high-impact Power BI analytics using Microsoft Fabric and Azure data services.
Key Responsibilities:
Build and manage ETL/ELT pipelines and data migrations
Develop Power BI dashboards, semantic models, and DAX
Integrate data from Dynamics 365
Write and optimize SQL and Python-based transformations
Must-Have Skills:
β’ Microsoft Fabric (Data Factory, Synapse, Lakehouse)
β’ Power BI (DAX, Power Query, dataflows, deployment pipelines)
β’ SQL Server / Azure SQL (T-SQL, performance tuning)
β’ Python (pandas, PySpark, notebook development)
β’ Dynamics 365 data structures and integration patterns
β’ Data migration methodologies and validation techniques
Nice to Have:
Azure Data Services, data modeling, CI/CD for data projects






