Lorven Technologies Inc.
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Databricks Developer with a healthcare background, offering a contract position. Key requirements include 10+ years of Data Engineering experience, expertise in Azure Databricks, SQL, Python, and familiarity with healthcare data standards. Remote work location.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
October 3, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Nashville, TN
-
🧠 - Skills detailed
#FHIR (Fast Healthcare Interoperability Resources) #Security #Synapse #Compliance #ML (Machine Learning) #"ETL (Extract #Transform #Load)" #Azure #Data Governance #DevOps #Data Engineering #Data Quality #Big Data #Data Lake #Scala #Microsoft Power BI #Azure cloud #Storage #Azure Data Factory #BI (Business Intelligence) #SQL (Structured Query Language) #Agile #Data Pipeline #Data Processing #Databricks #Kafka (Apache Kafka) #Python #IoT (Internet of Things) #Cloud #Azure SQL #ADF (Azure Data Factory) #Data Storage #Hadoop #Spark (Apache Spark) #Azure Databricks #Data Science
Role description
Hi,
Our client is looking Sr. Databricks Developer in Nashville, TN - Remote below is the detailed requirements.
Job Title : Sr. Databricks Developer with Healthcare Background
Location : Nashville, TN - Remote
Duration : Contract
Mandatory Skills: Candidate should have good experience in Healthcare Background
Job Description:
• We are seeking a highly skilled Data Engineer with expertise in Azure Databricks and Data Science to join our team. The ideal candidate will have experience working in the healthcare domain, building scalable data pipelines, optimizing data workflows, and leveraging cloud-
Responsibilities:
• Design, develop, and maintain scalable ETL/ELT pipelines in Azure for healthcare data processing.
• Work with structured and unstructured data from various healthcare sources (EHR, claims data, IoT, etc.).
• Implement and optimize data storage solutions using Azure technologies such as Azure Data Lake, Azure SQL, Synapse Analytics, Databricks.
• Develop and deploy machine learning models and predictive analytics solutions to support healthcare analytics.
• Ensure data quality, integrity, and security in compliance with HIPAA and other healthcare regulations.
• Collaborate with data scientists, analysts, and software engineers to deliver high-performance data solutions.
• Automate data workflows using c, and other cloud tools.
• Monitor and troubleshoot data pipelines to ensure optimal performance and reliability.
Required Skills & Qualifications:
• 10+ years of experience as a Data Engineer with a focus on Azure cloud services.
• Strong expertise in SQL, Python, Spark, and Databricks.
• Hands-on experience with Azure Data Factory, Azure Synapse, Azure Data Lake, and Power BI.
• Knowledge of machine learning models and data science techniques in a healthcare setting.
• Experience working with FHIR, HL7, and other healthcare data standards.
• Familiarity with DevOps and CI/CD pipelines for data workflows.
• Strong problem-solving skills and ability to work in an agile environment.
Preferred Qualifications:
• Experience with Big Data technologies (Hadoop, Kafka, etc.).
• Knowledge of data governance and compliance regulations in healthcare.
• Azure/Databricks certifications such as Microsoft Certified: Azure Data Engineer Associate.
• Understanding of cloud cost optimization for data workloads
Hi,
Our client is looking Sr. Databricks Developer in Nashville, TN - Remote below is the detailed requirements.
Job Title : Sr. Databricks Developer with Healthcare Background
Location : Nashville, TN - Remote
Duration : Contract
Mandatory Skills: Candidate should have good experience in Healthcare Background
Job Description:
• We are seeking a highly skilled Data Engineer with expertise in Azure Databricks and Data Science to join our team. The ideal candidate will have experience working in the healthcare domain, building scalable data pipelines, optimizing data workflows, and leveraging cloud-
Responsibilities:
• Design, develop, and maintain scalable ETL/ELT pipelines in Azure for healthcare data processing.
• Work with structured and unstructured data from various healthcare sources (EHR, claims data, IoT, etc.).
• Implement and optimize data storage solutions using Azure technologies such as Azure Data Lake, Azure SQL, Synapse Analytics, Databricks.
• Develop and deploy machine learning models and predictive analytics solutions to support healthcare analytics.
• Ensure data quality, integrity, and security in compliance with HIPAA and other healthcare regulations.
• Collaborate with data scientists, analysts, and software engineers to deliver high-performance data solutions.
• Automate data workflows using c, and other cloud tools.
• Monitor and troubleshoot data pipelines to ensure optimal performance and reliability.
Required Skills & Qualifications:
• 10+ years of experience as a Data Engineer with a focus on Azure cloud services.
• Strong expertise in SQL, Python, Spark, and Databricks.
• Hands-on experience with Azure Data Factory, Azure Synapse, Azure Data Lake, and Power BI.
• Knowledge of machine learning models and data science techniques in a healthcare setting.
• Experience working with FHIR, HL7, and other healthcare data standards.
• Familiarity with DevOps and CI/CD pipelines for data workflows.
• Strong problem-solving skills and ability to work in an agile environment.
Preferred Qualifications:
• Experience with Big Data technologies (Hadoop, Kafka, etc.).
• Knowledge of data governance and compliance regulations in healthcare.
• Azure/Databricks certifications such as Microsoft Certified: Azure Data Engineer Associate.
• Understanding of cloud cost optimization for data workloads
