

INSPYR Solutions
Real Estate Lending Associate Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Real Estate Lending Associate Data Engineer, hybrid located in Vienna, VA, Pensacola, FL, or Winchester, VA, with a 6-month contract. Requires 3-5 years of data engineering experience, advanced SQL knowledge, and familiarity with data pipelines and governance.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
November 5, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Vienna, VA
-
🧠 - Skills detailed
#JSON (JavaScript Object Notation) #Data Governance #Data Integration #API (Application Programming Interface) #Databricks #AI (Artificial Intelligence) #Scala #SQL (Structured Query Language) #C# #Programming #MongoDB #SQL Server #Data Management #"ETL (Extract #Transform #Load)" #Data Integrity #Python #R #Storage #SSIS (SQL Server Integration Services) #Database Systems #Data Quality #Azure SQL #Data Pipeline #Security #Computer Science #Metadata #Azure #Data Engineering #Data Processing
Role description
Title: Real Estate Lending (REL) Associate Data Engineer
Location: Vienna, VA, Pensacola, FL, or Winchester, VA (HYBRID)
Duration: 6 months with the possibility of extension
Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.
Real Estate Lending (REL) Associate Data Engineer
Design, develop, and optimize data pipelines and systems for efficient data collection, integration, and storage. Interpret data to generate insights and implement reliable data processing workflows that ensure data quality and system stability. Apply data governance practices across ETL pipelines, metadata management, security, and lineage tracking. Develop understanding of business objectives to align data solutions and address increasingly complex data challenges while building proficiency in standard procedures and techniques.
Responsibilities:
• Develop and maintain data pipelines and workflows using Data Factory and SQL Server Integration Services.
• Format data from APIs into SQL servers.
• Collaborate with stakeholders to gather data requirements and ensure alignment with business needs and objectives.
• Design and build data pipelines for data collection, connection, and storage.
• Develop and enforce data engineering policies and best practices to ensure data integrity.
• Proficient in querying MongoDB and integrating data across database systems for efficient data retrieval and processing.
• Ensure data quality and performance at scale.
• Ensure high performance and scalability of data systems and processes.
• Help with the collection, connection, and storage of data.
• Optimize existing data workflows and ensure system reliability.
• Collaborate with team members and participate in team projects and initiatives.
Qualifications:
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
• 3-5 years of experience in data engineering and governance.
• Advanced knowledge of SQL language.
• Advanced understanding of API frameworks and JSON transformations.
• Understanding of various data warehousing architectures (Mongo, Azure, SQL, etc.).
• Basic understanding of business and operating environment.
• Basic knowledge of programming languages (Mongo, Python, PowerShell, R, SQL, C#).
• Experience with data management, processing and analytic tools (Databricks).
• Experience with data integration and processing tools.
• Basic problem-solving skills.
• Basic communication and collaboration skills.
• Working experience with data warehousing solutions, ETL tools, and data system design.
• Basic knowledge of data engineering principles, technologies, and architecture.
Other Details:
Experience Levels 5-10+ years of experience
Location: Candidate can be located in Pensacola, FL, Winchester, VA, or Vienna, VA (HYBRID)
Shift (Time): 8:00am - 4:30pm (local time - flexible)
Campus Reporting Type: Hybrid with the expectation to report onsite a minimum of 2 days per week
Overtime: OT is not approved for this contract position
Contract Length: 6 months with the possibility of extension
Our benefits package includes:
• Comprehensive medical benefits
• Competitive pay
• 401(k) retirement plan
• …and much more!
About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients’ business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.
Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions’ Privacy Policy and INSPYR Solutions’ AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/. By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.
Title: Real Estate Lending (REL) Associate Data Engineer
Location: Vienna, VA, Pensacola, FL, or Winchester, VA (HYBRID)
Duration: 6 months with the possibility of extension
Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.
Real Estate Lending (REL) Associate Data Engineer
Design, develop, and optimize data pipelines and systems for efficient data collection, integration, and storage. Interpret data to generate insights and implement reliable data processing workflows that ensure data quality and system stability. Apply data governance practices across ETL pipelines, metadata management, security, and lineage tracking. Develop understanding of business objectives to align data solutions and address increasingly complex data challenges while building proficiency in standard procedures and techniques.
Responsibilities:
• Develop and maintain data pipelines and workflows using Data Factory and SQL Server Integration Services.
• Format data from APIs into SQL servers.
• Collaborate with stakeholders to gather data requirements and ensure alignment with business needs and objectives.
• Design and build data pipelines for data collection, connection, and storage.
• Develop and enforce data engineering policies and best practices to ensure data integrity.
• Proficient in querying MongoDB and integrating data across database systems for efficient data retrieval and processing.
• Ensure data quality and performance at scale.
• Ensure high performance and scalability of data systems and processes.
• Help with the collection, connection, and storage of data.
• Optimize existing data workflows and ensure system reliability.
• Collaborate with team members and participate in team projects and initiatives.
Qualifications:
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
• 3-5 years of experience in data engineering and governance.
• Advanced knowledge of SQL language.
• Advanced understanding of API frameworks and JSON transformations.
• Understanding of various data warehousing architectures (Mongo, Azure, SQL, etc.).
• Basic understanding of business and operating environment.
• Basic knowledge of programming languages (Mongo, Python, PowerShell, R, SQL, C#).
• Experience with data management, processing and analytic tools (Databricks).
• Experience with data integration and processing tools.
• Basic problem-solving skills.
• Basic communication and collaboration skills.
• Working experience with data warehousing solutions, ETL tools, and data system design.
• Basic knowledge of data engineering principles, technologies, and architecture.
Other Details:
Experience Levels 5-10+ years of experience
Location: Candidate can be located in Pensacola, FL, Winchester, VA, or Vienna, VA (HYBRID)
Shift (Time): 8:00am - 4:30pm (local time - flexible)
Campus Reporting Type: Hybrid with the expectation to report onsite a minimum of 2 days per week
Overtime: OT is not approved for this contract position
Contract Length: 6 months with the possibility of extension
Our benefits package includes:
• Comprehensive medical benefits
• Competitive pay
• 401(k) retirement plan
• …and much more!
About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients’ business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.
Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions’ Privacy Policy and INSPYR Solutions’ AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/. By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.






