Innovatech Staffing
Senior Data Engineer( USC Only)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer (USC only) with a contract length of "unknown" and a pay rate of "unknown," based in Memphis, TN (Remote). Key skills include Azure Databricks, Spark, SQL, and healthcare data standards. Azure certifications required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
August 12, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Databricks #Synapse #Python #Data Storage #PySpark #Delta Lake #ADF (Azure Data Factory) #Compliance #SQL (Structured Query Language) #FHIR (Fast Healthcare Interoperability Resources) #Data Quality #Spark (Apache Spark) #ML (Machine Learning) #Data Lake #Microsoft Power BI #Agile #Azure #Cloud #Scala #Data Science #DevOps #Data Engineering #BI (Business Intelligence) #Azure cloud #Storage #Data Security #Azure Data Factory #Security #Data Pipeline #Azure Databricks #"ETL (Extract #Transform #Load)" #Azure SQL
Role description
Senior Data Engineer ( USC only federal project)
Memphis, TN (Remote)
Job Description:
We are seeking an experienced Senior Data Engineer with strong expertise in Azure Databricks, Spark, and Azure data services to design and deliver scalable, cloud-based data solutions for healthcare analytics. The ideal candidate will have hands-on experience in building modern data platforms, implementing CI/CD pipelines, and enabling advanced analytics and machine learning initiatives while ensuring data security and regulatory compliance.
Responsibilities
Design, develop, and maintain scalable, secure, and high-performance ETL/ELT pipelines using Azure Databricks, PySpark, Synapse Analytics,
Work with structured and unstructured data from various healthcare sources (EHR, claims data, etc.).
Implement and optimize data storage solutions using Azure technologies such as Databricks ,Azure Data Lake, Azure SQL, Synapse Analytics.
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 cicd, and other cloud tools.
Monitor and troubleshoot data pipelines to ensure optimal performance and reliability.
Participate in technical design reviews and contribute to data platform architecture decisions.
Promote data engineering best practices across the organization.
Required Skills & Qualifications:
8+ years of experience as a Data Engineer with a focus on Azure cloud services.
Strong understanding of Delta Lake, Lakehouse Architecture, and data warehousing concepts.
Strong expertise in SQL, Python, Spark, and Databricks.
Azure/Databricks certifications such as Microsoft Certified: Azure Data Engineer Associate.
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.
Senior Data Engineer ( USC only federal project)
Memphis, TN (Remote)
Job Description:
We are seeking an experienced Senior Data Engineer with strong expertise in Azure Databricks, Spark, and Azure data services to design and deliver scalable, cloud-based data solutions for healthcare analytics. The ideal candidate will have hands-on experience in building modern data platforms, implementing CI/CD pipelines, and enabling advanced analytics and machine learning initiatives while ensuring data security and regulatory compliance.
Responsibilities
Design, develop, and maintain scalable, secure, and high-performance ETL/ELT pipelines using Azure Databricks, PySpark, Synapse Analytics,
Work with structured and unstructured data from various healthcare sources (EHR, claims data, etc.).
Implement and optimize data storage solutions using Azure technologies such as Databricks ,Azure Data Lake, Azure SQL, Synapse Analytics.
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 cicd, and other cloud tools.
Monitor and troubleshoot data pipelines to ensure optimal performance and reliability.
Participate in technical design reviews and contribute to data platform architecture decisions.
Promote data engineering best practices across the organization.
Required Skills & Qualifications:
8+ years of experience as a Data Engineer with a focus on Azure cloud services.
Strong understanding of Delta Lake, Lakehouse Architecture, and data warehousing concepts.
Strong expertise in SQL, Python, Spark, and Databricks.
Azure/Databricks certifications such as Microsoft Certified: Azure Data Engineer Associate.
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.
