Data Engineer

ConsultNet Technology Services and Solutions; Salt Lake City (UT); Hybrid; USD 62,000 - 76,000; Full time

Job summary

ConsultNet Technology Services and Solutions is seeking a Data Engineer in Salt Lake City, UT for a onsite/hybrid contract role. The position focuses on designing scalable data solutions, building pipelines in SQL Server, and preparing AI-ready datasets to support analytics and data interoperability.

Ideal candidates have 3–5 years of healthcare data experience, strong SQL Server skills, and the ability to collaborate across technical and business teams to ensure data quality and effective data

Qualifications

• 3–5 years of hands‑on experience working with healthcare data in a production environment.
• Experience designing, developing, and maintaining data pipelines.
• Strong experience with SQL Server and SQL-based data solutions.
• Experience preparing and structuring AI‑ready datasets for analytics and machine learning use cases.
• Understanding of healthcare data modeling and content standardization practices.
• Experience supporting data exchange and interoperability requirements.
• Strong understanding of data quality, integration, and transformation processes.
• Strong analytical and problem‑solving skills.

Responsibilities

• Design and build scalable data solutions to support analytics, AI, and data interoperability initiatives.
• Develop and maintain data pipelines within a SQL Server environment.
• Create AI-ready datasets for analytics and machine learning use cases.
• Apply data modeling and content standardization practices to healthcare data.
• Collaborate with engineering, analytics, and business teams to ensure data quality and interoperability.

Skills

Healthcare data

Data pipelines

SQL Server

AI-ready datasets

Data modeling

Interoperability

Data quality

Analytical thinking

Tools

SQL Server

Job description

Data Engineer
Salt Lake City, UT (Onsite/Hybrid)
Contract Rate: $45.00 - $55.00per hr
Contract Duration: Up to 3 Years
ConsultNet is seeking an experienced Data Engineer to design and build scalable data solutions supporting analytics, artificial intelligence, and data interoperability initiatives. The Data Engineer will develop and maintain data pipelines within a SQL Server environment, create AI-ready datasets, and apply data modeling and content standardization practices. The ideal candidate has hands‑on experience working with healthcare data, understands data exchange and interoperability requirements, and can collaborate effectively across technical and business teams.

Required Skills

• 3–5 years of hands‑on experience working with healthcare data in a production environment.
• Experience designing, developing, and maintaining data pipelines.
• Strong experience with SQL Server and SQL-based data solutions.
• Experience preparing and structuring AI‑ready datasets for analytics and machine learning use cases.
• Understanding of healthcare data modeling and content standardization practices.
• Experience supporting data exchange and interoperability requirements.
• Strong understanding of data quality, integration, and transformation processes.
• Strong analytical and problem‑solving skills.

Bonus / Soft Skills

• Experience supporting analytics, AI, or data modernization initiatives.
• Experience with healthcare interoperability standards or related data exchange technologies.
• Experience with metadata management tools or platforms.
• Front‑end development experience supporting metadata management applications.
• Familiarity with data governance and data architecture concepts.
• Ability to collaborate effectively across engineering, analytics, business, and other technical teams.
• Strong communication skills and ability to document technical solutions clearly.