

Horizontal Talent
Sr Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Data Engineer with a contract length of "unknown," offering a pay rate of $40 - $77 per hour. Key skills include Microsoft Fabric, advanced SQL, Python, and experience in healthcare data. Data engineering or cloud certifications preferred.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
616
-
🗓️ - Date
November 20, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Rochester, MN
-
🧠 - Skills detailed
#AI (Artificial Intelligence) #Data Warehouse #Scala #"ETL (Extract #Transform #Load)" #Data Ingestion #Python #Data Architecture #Azure #Terraform #Data Management #Compliance #Security #Data Engineering #Data Modeling #Automation #SQL (Structured Query Language) #DevOps #Data Automation #Metadata #Data Lineage #GIT #Scripting #Azure DevOps #Microsoft Power BI #Cloud #Data Pipeline #Data Privacy #Data Transformations #BI (Business Intelligence)
Role description
Join our dynamic team as a Senior Data Engineer, where you'll lead the charge in transforming radiology data into actionable insights using cutting-edge technology. Collaborate with cross-functional teams to design and implement a robust data warehouse and analytics environment.
Responsibilities
• Design and develop a comprehensive data warehouse and analytics environment using Microsoft Fabric.
• Collaborate with internal teams to integrate institutional and radiology data sources.
• Create and optimize data pipelines for efficient data ingestion, transformation, and curation.
• Develop scalable cloud data architectures in line with security frameworks and institutional standards.
• Engage with cross-functional teams to drive data-driven solutions and support AI initiatives.
Skills
• Proficiency in Microsoft Fabric, including Data Warehouse, Data Pipelines, and Power BI integration.
• Strong understanding of data modeling, including dimensional/star schema and semantic model design.
• Expertise in advanced SQL/T-SQL for complex data transformations and query optimization.
• Proficiency in Python or similar scripting languages for data automation and integration.
• Experience in metadata management, data lineage, and governance.
Preferred Skills
• Familiarity with infrastructure-as-code and CI/CD principles using tools like Git, Azure DevOps, or Terraform.
• Experience working with clinical, imaging, or research data in a healthcare setting.
• Awareness of data privacy, security, and compliance requirements in healthcare, such as HIPAA.
• Data engineering or cloud certifications.
At Horizontal, we are committed to fostering an inclusive culture where diversity, equity, and inclusion are core principles. We welcome candidates from all backgrounds to apply.
Once you apply for this position, you may receive a phone call, SMS or email at the time of application from our Virtual AI Recruiter, Alex, to conduct an initial interview.
Horizontal facilitates valuable and productive conversations between you and potential employers. We can assist you in growing your career by partnering you with employers that offer challenging assignments. For those that join the team, we offer competitive compensation and benefits including medical, dental, vision, and retirement. Check out all we have to offer and how you can become part of the Horizontal Talent Team. The pay range for this role is $40 - $77 per hour. This is not a guarantee of compensation, as final offer amount may vary based on factors including but not limited to experience and geographic location.
Join our dynamic team as a Senior Data Engineer, where you'll lead the charge in transforming radiology data into actionable insights using cutting-edge technology. Collaborate with cross-functional teams to design and implement a robust data warehouse and analytics environment.
Responsibilities
• Design and develop a comprehensive data warehouse and analytics environment using Microsoft Fabric.
• Collaborate with internal teams to integrate institutional and radiology data sources.
• Create and optimize data pipelines for efficient data ingestion, transformation, and curation.
• Develop scalable cloud data architectures in line with security frameworks and institutional standards.
• Engage with cross-functional teams to drive data-driven solutions and support AI initiatives.
Skills
• Proficiency in Microsoft Fabric, including Data Warehouse, Data Pipelines, and Power BI integration.
• Strong understanding of data modeling, including dimensional/star schema and semantic model design.
• Expertise in advanced SQL/T-SQL for complex data transformations and query optimization.
• Proficiency in Python or similar scripting languages for data automation and integration.
• Experience in metadata management, data lineage, and governance.
Preferred Skills
• Familiarity with infrastructure-as-code and CI/CD principles using tools like Git, Azure DevOps, or Terraform.
• Experience working with clinical, imaging, or research data in a healthcare setting.
• Awareness of data privacy, security, and compliance requirements in healthcare, such as HIPAA.
• Data engineering or cloud certifications.
At Horizontal, we are committed to fostering an inclusive culture where diversity, equity, and inclusion are core principles. We welcome candidates from all backgrounds to apply.
Once you apply for this position, you may receive a phone call, SMS or email at the time of application from our Virtual AI Recruiter, Alex, to conduct an initial interview.
Horizontal facilitates valuable and productive conversations between you and potential employers. We can assist you in growing your career by partnering you with employers that offer challenging assignments. For those that join the team, we offer competitive compensation and benefits including medical, dental, vision, and retirement. Check out all we have to offer and how you can become part of the Horizontal Talent Team. The pay range for this role is $40 - $77 per hour. This is not a guarantee of compensation, as final offer amount may vary based on factors including but not limited to experience and geographic location.






