Remote Data Engineer for AI & Healthcare Data Pipelines

Insight Global; Salt Lake City (UT); À distance; USD 100 000 - 150 000; Plein temps

Résumé du poste

Insight Global is seeking a Data Engineer to design, build, and maintain scalable data solutions that support analytics, AI, research, and healthcare interoperability initiatives. You will partner with Data Architects, ETL Engineers, and research teams to develop trusted data assets and AI-ready datasets that drive healthcare insights.

This role is remote with occasional onsite meetings in Salt Lake City. Candidates should have 3-5 years of experience building enterprise data solutions and

Qualifications

• Bachelor's degree required in CS/Data Engineering or related field.
• 3-5 years of experience building enterprise data solutions.
• Strong SQL and data modeling experience.
• Experience developing and maintaining ETL/ELT processes.
• Knowledge of SDLC and testing practices.

Responsabilités

• Design and develop scalable data pipelines and data products
• Build and maintain ETL/ELT processes
• Create data solutions that support analytics, AI, and research initiatives
• Collaborate with cross-functional teams to deliver trusted, high-quality data assets
• Support data integration and data linkage efforts
• Ensure data quality through testing and development best practices

Connaissances

SQL

Data modeling

ETL/ELT development

SDLC

Testing practices

Collaboration

Formation

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field

Outils

Description du poste

Insight Global is seeking a Data Engineer to design, build, and maintain scalable data solutions that support analytics, AI, research, and healthcare interoperability initiatives. You will partner with Data Architects, ETL Engineers, and research teams to develop trusted data assets and AI-ready datasets that drive healthcare insights.

This role is remote with occasional onsite meetings in Salt Lake City. Candidates should have 3-5 years of experience building enterprise data solutions and