Impelsys
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer contract position located in the United States, requiring expertise in Python, SQL, and healthcare claims data analytics. Key skills include data pipeline development, cloud platforms, and data warehousing knowledge.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 18, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Data Security #Azure #GCP (Google Cloud Platform) #AWS (Amazon Web Services) #Pandas #Redshift #Scala #Security #Cloud #Tableau #Airflow #Compliance #Python #"ETL (Extract #Transform #Load)" #Data Science #SQL (Structured Query Language) #BI (Business Intelligence) #PostgreSQL #Spark (Apache Spark) #NumPy #ML (Machine Learning) #FHIR (Fast Healthcare Interoperability Resources) #Visualization #Data Engineering #Data Processing #Libraries #Snowflake #Data Pipeline #Microsoft Power BI
Role description
Role Overview
• Position: Data Scientist / Data Engineer
• Type: Contract
• Location: United States (US Citizen required)
Key Requirements
• Strong experience in Python, SQL, and data processing frameworks (Spark, Airflow, etc.)
• Hands-on experience building data pipelines and ETL processes
• Experience with healthcare claims data and analytics (mandatory)
• Knowledge of data warehousing (Snowflake, Redshift, PostgreSQL)
• Experience with cloud platforms (AWS, Azure, or GCP)
• Familiarity with machine learning libraries (Pandas, NumPy, Scikit-learn)
• Experience with data visualization tools (Tableau, Power BI)
Healthcare Domain Expertise (Required)
• Strong understanding of HL7, FHIR, CDA, and healthcare interoperability standards
• Experience working with EHR/EMR systems and healthcare data exchange
• Knowledge of HIPAA compliance and healthcare data security
• Ability to design secure and scalable healthcare data solutions
Role Overview
• Position: Data Scientist / Data Engineer
• Type: Contract
• Location: United States (US Citizen required)
Key Requirements
• Strong experience in Python, SQL, and data processing frameworks (Spark, Airflow, etc.)
• Hands-on experience building data pipelines and ETL processes
• Experience with healthcare claims data and analytics (mandatory)
• Knowledge of data warehousing (Snowflake, Redshift, PostgreSQL)
• Experience with cloud platforms (AWS, Azure, or GCP)
• Familiarity with machine learning libraries (Pandas, NumPy, Scikit-learn)
• Experience with data visualization tools (Tableau, Power BI)
Healthcare Domain Expertise (Required)
• Strong understanding of HL7, FHIR, CDA, and healthcare interoperability standards
• Experience working with EHR/EMR systems and healthcare data exchange
• Knowledge of HIPAA compliance and healthcare data security
• Ability to design secure and scalable healthcare data solutions
