E-Solutions
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 8+ years of experience, focusing on healthcare data, HL7, and FHIR standards. Contract length is unspecified, with a pay rate of "unknown." Key skills include Azure Data Factory, SQL development, and ETL/ELT pipeline design.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 4, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
United States
-
🧠 - Skills detailed
#Automation #FHIR (Fast Healthcare Interoperability Resources) #Python #Quality Assurance #ADF (Azure Data Factory) #Data Engineering #JSON (JavaScript Object Notation) #Scripting #Azure #SQL (Structured Query Language) #Data Analysis #Data Integrity #Security #XML (eXtensible Markup Language) #Monitoring #Snowflake #Regression #Data Quality #"ETL (Extract #Transform #Load)" #Azure Data Factory #Selenium WebDriver
Role description
Data engineer
United state
Required Qualifications
8+ years of experience as a Data Engineer with a strong foundation in data analysis and data engineering principles.
5+ years of experience in healthcare data, including quality assurance, and working with HL7 and FHIR standards.
Hands-on experience with EMR systems, especially EPIC (preferred); HL7 and FHIR experience is required.
Proven expertise in Azure Data Factory (ADF) and related Azure technologies.
Several years of experience as a SQL Developer, transitioning into a Data Engineering role.
Designed and implemented ETL/ELT pipelines using raw XML and JSON data, integrating across multiple parallel data sources.
Proficient in creating DDL scripts, database tables, and implementing complex logic for data transformation.
Skilled in data validation, profiling, and Python scripting, with familiarity in handling diverse data formats (e.g., date formats).
Experience working in various SQL development environments, including handling data arrays and using LATERAL joins for data decomposition.
Strong understanding of the importance of data quality and its impact on downstream processes.
Desired Skills
Extensive experience in automating web applications using Selenium WebDriver, with automation scripting in Python.
Hands-on experience with Snowflake for data warehousing and analytics.
Exposure to multiple testing domains including:
Functional testing
Data integrity
Security and privacy validation
Regression testing
Ongoing data quality monitoring and tracking
Data engineer
United state
Required Qualifications
8+ years of experience as a Data Engineer with a strong foundation in data analysis and data engineering principles.
5+ years of experience in healthcare data, including quality assurance, and working with HL7 and FHIR standards.
Hands-on experience with EMR systems, especially EPIC (preferred); HL7 and FHIR experience is required.
Proven expertise in Azure Data Factory (ADF) and related Azure technologies.
Several years of experience as a SQL Developer, transitioning into a Data Engineering role.
Designed and implemented ETL/ELT pipelines using raw XML and JSON data, integrating across multiple parallel data sources.
Proficient in creating DDL scripts, database tables, and implementing complex logic for data transformation.
Skilled in data validation, profiling, and Python scripting, with familiarity in handling diverse data formats (e.g., date formats).
Experience working in various SQL development environments, including handling data arrays and using LATERAL joins for data decomposition.
Strong understanding of the importance of data quality and its impact on downstream processes.
Desired Skills
Extensive experience in automating web applications using Selenium WebDriver, with automation scripting in Python.
Hands-on experience with Snowflake for data warehousing and analytics.
Exposure to multiple testing domains including:
Functional testing
Data integrity
Security and privacy validation
Regression testing
Ongoing data quality monitoring and tracking
