E-IT
Jr Data Engineer (Healthcare)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Jr Data Engineer (Healthcare) on a remote contract, requiring 5+ years in healthcare SQL development and 3+ years with SAS or Alteryx. Key skills include data visualization, Python, and Azure.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
May 23, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Data Engineering #Documentation #Data Pipeline #"ETL (Extract #Transform #Load)" #Observability #Storage #BI (Business Intelligence) #Python #Cloud #Azure #Databricks #SQL Server #Alteryx #Data Lifecycle #CMS (Content Management System) #SQL (Structured Query Language) #R #Tableau #Snowflake #Version Control #Visualization #Data Quality #Programming #Scala #Data Ingestion #SAS #Data Science
Role description
Role : Data Engineer (Healthcare)
Location : Remote
Contract
Key Responsibilities
• 5+ years of experience working in the Healthcare industry as a Developer in SQL
• 3+ years of experience working with SAS business analytic software or Alteryx ETL Designer
• Experience with procedures within SAS/SQL business analytic software Preferred Qualifications:
• Advanced SAS, SQL query and SQL programming experience, with the ability to create and modify stored procedures in MS-SQL Server Database
• Experience with Data Visualization tools, such as Tableau
• Experience with Python and R Programming
• Experience developing, implementing, and supporting production SAS reporting
• M&R - Part D knowledge & experience
• Pharmacy and health claim analytics experience
• Experience with business intelligence tools and software
• Knowledge of HEDIS and Star Quality Specifications
• Familiarity with CMS Star Ratings
• Advanced Proficiency with MS Office and Excel
• Assess and improve an existing data platform, including refactoring pipelines, optimizing performance, and improving code quality, or designing a new end to end data solution from the ground up when appropriate.
• Design, build, and maintain scalable data pipelines to support downstream application and analytics use cases.
• Implement and manage data ingestion, transformation, and storage patterns using Databricks and Snowflake.
• Partner with architects and stakeholders to define data models, schemas that enable reliable application development.
• Ensure data quality, reliability, observability, and governance across the data lifecycle.
• Optimize workloads for cost, performance, and scalability in a cloud native Azure environment.
• Contribute to and enforce engineering standards, including documentation, testing, version control, and CI/CD practices.
• Support and enable downstream consumers (application developers, analytics, data science) by delivering trusted, well structured data assets Required skills: Required Qualifications:
• Proven ability to meet deadlines when given multiple projects and priorities in a fast-paced environment
• Proven motivated self-starter with curiosity, attention to detail, and ability to effectively handle change Key CLL
Skills
• Understanding Goals, Priorities and Plans
• Delivering Results
• Resilience and Resourcefulness
• Providing Support
• Growth Mindset
Role : Data Engineer (Healthcare)
Location : Remote
Contract
Key Responsibilities
• 5+ years of experience working in the Healthcare industry as a Developer in SQL
• 3+ years of experience working with SAS business analytic software or Alteryx ETL Designer
• Experience with procedures within SAS/SQL business analytic software Preferred Qualifications:
• Advanced SAS, SQL query and SQL programming experience, with the ability to create and modify stored procedures in MS-SQL Server Database
• Experience with Data Visualization tools, such as Tableau
• Experience with Python and R Programming
• Experience developing, implementing, and supporting production SAS reporting
• M&R - Part D knowledge & experience
• Pharmacy and health claim analytics experience
• Experience with business intelligence tools and software
• Knowledge of HEDIS and Star Quality Specifications
• Familiarity with CMS Star Ratings
• Advanced Proficiency with MS Office and Excel
• Assess and improve an existing data platform, including refactoring pipelines, optimizing performance, and improving code quality, or designing a new end to end data solution from the ground up when appropriate.
• Design, build, and maintain scalable data pipelines to support downstream application and analytics use cases.
• Implement and manage data ingestion, transformation, and storage patterns using Databricks and Snowflake.
• Partner with architects and stakeholders to define data models, schemas that enable reliable application development.
• Ensure data quality, reliability, observability, and governance across the data lifecycle.
• Optimize workloads for cost, performance, and scalability in a cloud native Azure environment.
• Contribute to and enforce engineering standards, including documentation, testing, version control, and CI/CD practices.
• Support and enable downstream consumers (application developers, analytics, data science) by delivering trusted, well structured data assets Required skills: Required Qualifications:
• Proven ability to meet deadlines when given multiple projects and priorities in a fast-paced environment
• Proven motivated self-starter with curiosity, attention to detail, and ability to effectively handle change Key CLL
Skills
• Understanding Goals, Priorities and Plans
• Delivering Results
• Resilience and Resourcefulness
• Providing Support
• Growth Mindset
