Talent Groups
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Phoenix, AZ, on a contract basis, offering a competitive pay rate. Requires 5+ years of experience in SQL Server, Python, and healthcare data formats. Bachelor's degree in a related field is essential.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
424
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🗓️ - Date
February 11, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Phoenix, AZ
-
🧠 - Skills detailed
#Visualization #Python #Data Quality #Azure #Microsoft Power BI #Libraries #Statistics #Data Processing #Computer Science #Process Automation #Automation #Mathematics #Data Engineering #XML (eXtensible Markup Language) #Data Mapping #Scala #"ETL (Extract #Transform #Load)" #SQL Server #GCP (Google Cloud Platform) #SQL (Structured Query Language) #AWS (Amazon Web Services) #BI (Business Intelligence) #Data Science #Data Modeling #RDBMS (Relational Database Management System) #Cloud #JSON (JavaScript Object Notation)
Role description
Job Title: Senior Data Engineer / Software Developer (Data Analytics)
Location: Phoenix, AZ (Hybrid)
Job Type: Contract
Job Summary:
The experienced Software Developer / Data Engineer / Data Scientist to design, develop, and maintain data processing and analytical solutions that support public health initiatives. This role requires strong hands-on expertise in SQL Server, Python-based data processing, automation, and cloud environments, with a focus on handling complex healthcare data formats and ensuring high data quality.
Key Responsibilities:
• Design, develop, and optimize database solutions using SQL Server, SQL, and T-SQL
• Build and maintain data processing and analytical tools using Python and relevant libraries
• Ingest, transform, and process data from multiple formats including HL7, XML, JSON, CSV, and EDI
• Perform data modeling, data mapping, and transformation to support analytics and reporting needs
• Design and implement process automation to improve data workflows and operational efficiency
• Work in cloud-based environments (AWS, Azure, or GCP) to support scalable data solutions
• Ensure data quality, integrity, lifecycle management, and validation across systems
• Collaborate with cross-functional teams to support data analytics, reporting, and integration initiatives
• Support visualization and reporting solutions using tools such as Power BI (preferred)
Required Qualifications:
• 5+ years of experience in software development, data engineering, or data analytics
• Strong expertise in SQL Server, SQL, and T-SQL
• Strong hands-on experience with Python for data processing and analytics
• Experience working with healthcare or structured data formats (HL7, XML, JSON, CSV, EDI)
• Proven experience in data modeling, data transformation, and automation
• Experience working in cloud environments (AWS, Azure, or GCP)
• Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, or related field
Preferred Qualifications:
• Experience with other RDBMS platforms
• Experience in UI development
• Experience with data visualization tools such as Power BI
• Familiarity with data quality and data comparison platforms/tools
Work Arrangement:
• Hybrid role – approximately 80% onsite and 20% remote
• Candidates must be comfortable working on-site regularly
Job Title: Senior Data Engineer / Software Developer (Data Analytics)
Location: Phoenix, AZ (Hybrid)
Job Type: Contract
Job Summary:
The experienced Software Developer / Data Engineer / Data Scientist to design, develop, and maintain data processing and analytical solutions that support public health initiatives. This role requires strong hands-on expertise in SQL Server, Python-based data processing, automation, and cloud environments, with a focus on handling complex healthcare data formats and ensuring high data quality.
Key Responsibilities:
• Design, develop, and optimize database solutions using SQL Server, SQL, and T-SQL
• Build and maintain data processing and analytical tools using Python and relevant libraries
• Ingest, transform, and process data from multiple formats including HL7, XML, JSON, CSV, and EDI
• Perform data modeling, data mapping, and transformation to support analytics and reporting needs
• Design and implement process automation to improve data workflows and operational efficiency
• Work in cloud-based environments (AWS, Azure, or GCP) to support scalable data solutions
• Ensure data quality, integrity, lifecycle management, and validation across systems
• Collaborate with cross-functional teams to support data analytics, reporting, and integration initiatives
• Support visualization and reporting solutions using tools such as Power BI (preferred)
Required Qualifications:
• 5+ years of experience in software development, data engineering, or data analytics
• Strong expertise in SQL Server, SQL, and T-SQL
• Strong hands-on experience with Python for data processing and analytics
• Experience working with healthcare or structured data formats (HL7, XML, JSON, CSV, EDI)
• Proven experience in data modeling, data transformation, and automation
• Experience working in cloud environments (AWS, Azure, or GCP)
• Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, or related field
Preferred Qualifications:
• Experience with other RDBMS platforms
• Experience in UI development
• Experience with data visualization tools such as Power BI
• Familiarity with data quality and data comparison platforms/tools
Work Arrangement:
• Hybrid role – approximately 80% onsite and 20% remote
• Candidates must be comfortable working on-site regularly
