Agile Resources, Inc.
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer on a 3-month contract, hybrid remote in Phoenix, AZ, paying up to $63/hr. Requires 5+ years in data processing, strong SQL and Python skills, and experience with HL7, XML, JSON, and cloud platforms.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
504
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🗓️ - Date
March 25, 2026
🕒 - Duration
3 to 6 months
-
🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Phoenix, AZ
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🧠 - Skills detailed
#Data Mapping #Data Quality #GCP (Google Cloud Platform) #RDBMS (Relational Database Management System) #Visualization #Data Science #SQL Server #JSON (JavaScript Object Notation) #Microsoft Power BI #Data Modeling #Python #Mathematics #Data Processing #AWS (Amazon Web Services) #Statistics #Libraries #Cloud #"ETL (Extract #Transform #Load)" #Data Engineering #Computer Science #SQL (Structured Query Language) #XML (eXtensible Markup Language) #Data Lifecycle #Azure #Process Automation #Automation #BI (Business Intelligence)
Role description
Location / Remote: Hybrid Remote in Phoenix, AZ, 85007 (4 days/week onsite).
Employment Type: 3-month contract (W-2 or 1099/IC)
Pay rate: up to $63/hr
Benefits: Medical, Dental, Vision, Life Insurance, 401(k).
This role involves developing and maintaining data processing and analytical tools, with a focus on database development, process automation, and cloud-based environments. The ideal candidate will have a strong background in SQL, Python, and data transformation processes, along with experience working with various data formats and cloud platforms.
Responsibilities:
• Develop and maintain data processing and analytical tools using Python and relevant libraries.
• Design and implement database solutions utilizing SQL Server, including T-SQL development.
• Work with various data formats such as HL7, XML, JSON, CSV, and EDI to support data transformation and mapping processes.
• Create and optimize data models and automate processes to improve efficiency and accuracy.
• Implement solutions in cloud-based environments, including AWS, Azure, and GCP.
• Ensure high-quality data processing by applying data modeling and transformation techniques.
Required Skills:
• Minimum of 5 years of experience as a developer in data processing or data analytics.
• Strong knowledge of SQL and T-SQL with proven experience in database development using SQL Server.
• Proficiency in Python and relevant libraries for data processing and analytics.
• Experience working with various data formats such as HL7, XML, JSON, CSV, and EDI.
• Expertise in data modeling, data mapping, and data transformation processes.
• Demonstrated experience in implementing automated processes.
Preferred Skills:
• Understanding of data lifecycle management and data quality tools.
• Knowledge and experience with other RDBMS platforms.
• Familiarity with visualization tools such as Power BI.
• Hands-on experience with cloud-based environments, including AWS, Azure, or GCP.
• Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.
Location / Remote: Hybrid Remote in Phoenix, AZ, 85007 (4 days/week onsite).
Employment Type: 3-month contract (W-2 or 1099/IC)
Pay rate: up to $63/hr
Benefits: Medical, Dental, Vision, Life Insurance, 401(k).
This role involves developing and maintaining data processing and analytical tools, with a focus on database development, process automation, and cloud-based environments. The ideal candidate will have a strong background in SQL, Python, and data transformation processes, along with experience working with various data formats and cloud platforms.
Responsibilities:
• Develop and maintain data processing and analytical tools using Python and relevant libraries.
• Design and implement database solutions utilizing SQL Server, including T-SQL development.
• Work with various data formats such as HL7, XML, JSON, CSV, and EDI to support data transformation and mapping processes.
• Create and optimize data models and automate processes to improve efficiency and accuracy.
• Implement solutions in cloud-based environments, including AWS, Azure, and GCP.
• Ensure high-quality data processing by applying data modeling and transformation techniques.
Required Skills:
• Minimum of 5 years of experience as a developer in data processing or data analytics.
• Strong knowledge of SQL and T-SQL with proven experience in database development using SQL Server.
• Proficiency in Python and relevant libraries for data processing and analytics.
• Experience working with various data formats such as HL7, XML, JSON, CSV, and EDI.
• Expertise in data modeling, data mapping, and data transformation processes.
• Demonstrated experience in implementing automated processes.
Preferred Skills:
• Understanding of data lifecycle management and data quality tools.
• Knowledge and experience with other RDBMS platforms.
• Familiarity with visualization tools such as Power BI.
• Hands-on experience with cloud-based environments, including AWS, Azure, or GCP.
• Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.
