Senior Azure Data Factory Developer

About the Role

Job Title
Sr. SQL/Azure Data Factory Developer
Location
United States(Remote)
Duration
6+ month contract to hire
Compensation
$70-75/hr C2C
Work Status
USC
Notes
StatUpdates
Job Description
Our Greater Philadelphia area client is looking for a Senior Azure & Data Factory Developer for a permanent role by way of 6 month contract-to-hire.This team is looking for a powerhouse SQL/ADF expert who brings sharp thinking, high energy, and enterprisegrade data engineering to every project.



Position Description

Senior-level SQL & Azure Data Factory developer (contract-to-hire)
Lead development of data solutions, pipelines, and API-driven database components
Drive highvolume data processing and enterprise data architecture efforts

Required Skills

Strong presence: high energy, clear communicator, sharp analytical mindset
5+ years hands-on SQL development with stored procedures and largescale batch processing
Proven experience designing and delivering enterprise data platforms
Building and maintaining Azure Data Factory pipelines
Creating and deploying databasehosted APIs
Data analysis, transformation, and ETL expertise
Must be eligible for direct hire without sponsorship


Bonus Skills

Broader experience across cloud data ecosystems
Additional exposure to advanced data modeling or automation tooling
Familiarity with modern data integration patterns

Key Responsibilities & Skills

• Enterprise Data Platform Design
• Azure Data Factory Pipeline Development
• High-Volume Data Processing
• SQL Development with Stored Procedures & Batch Processing
• API-Driven Database Component Development
• Data Analysis & Transformation
• ETL Design & Execution
• Data Architecture & Modeling
• Cloud Data Ecosystem Integration
• Analytical Problem Solving

Technical Skills

• Azure Data Factory
• Microsoft Azure (Cloud)
• SQL / T-SQL
• Azure Functions
• Azure Logic Apps
• Azure Data Lake / Synapse
• Data Modeling
• PowerShell / Azure CLI

Education

Bachelor's Degree in Computer Science, Information Systems, Data Science, Software Engineering, Computer Engineering. Preferred: Master's in Data Science, Master's in Computer Science, Master's in Business Analytics, MBA (Technology Focus).

Industry Experience

• Healthcare / Insurance
• Medical Benefits Administration