Senior SQL/Azure Data Engineer

Remote • Posted 5 hours ago • Updated 5 hours ago
Contract W2
12 Months
Remote
Depends on Experience
Fitment

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Job Details

Skills

  • Enterprise Data Architecture
  • Azure Data Factory Pipeline Development
  • SQL Development (Stored Procedures & Batch Processing)
  • High-Volume Data Processing
  • API-Driven Database Development
  • SQL / T-SQL
  • Azure Data Factory
  • Azure Cloud Services
  • REST / API Development
  • Data Modeling
  • ETL Tools

Summary

About the Role

Job Title
Sr. SQL/Azure Data Factory Developer
Client
AmeriHealth
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 Architecture
  • Azure Data Factory Pipeline Development
  • SQL Development (Stored Procedures & Batch Processing)
  • High-Volume Data Processing
  • API-Driven Database Development
  • Data Analysis & Transformation (ETL)
  • Data Platform Design & Delivery
  • Cloud Data Ecosystem Expertise
Technical Skills
  • SQL / T-SQL
  • Azure Data Factory
  • Azure Cloud Services
  • REST / API Development
  • Data Modeling
  • ETL Tools
Education

Bachelor's Degree in Computer Science, Information Systems, Data Engineering, Computer Engineering, Business Informatics. Preferred: Master's in Data Science, Master's in Computer Science, MBA.

Industry Experience
  • Healthcare / Health Insurance
  • Enterprise Data Platforms
  • Cloud Data Engineering
  • Insurance Analytics
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90838929
  • Position Id: fb63479d-a154-46aa-857d-f4a1c4b517db
  • Posted 5 hours ago
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