Job description

## Qualifications - The ideal candidate will have strong experience with data ingestion, orchestration, and transformation in cloud-based environments, particularly Azure - Strong hands-on experience with Microsoft Fabric and Azure Data Services - Expertise in Spark, Python, SQL Server, and Delta tables - Proven track record of building and orchestrating data ingestion pipelines - Prior experience in healthcare data (claims, EHR, patient, or related) - Strong understanding of data governance, compliance, and security in healthcare contexts - Familiarity with AI/ML pipelines and integration with healthcare analytics - Experience working in large-scale enterprise environments - Strong communication skills to work with cross-functional teams - Must be able to convert to full-time without sponsorship ## Responsibilities - Design, develop, and maintain scalable data pipelines within Microsoft Fabric and Azure ecosystem - Work with structured and unstructured healthcare datasets to support AI/ML initiatives - Build and optimize data ingestion, processing, and storage solutions using Spark, Delta tables, SQL Server, and Python - Collaborate with data scientists, analysts, and product teams to deliver clean, reliable, and accessible datasets - Ensure compliance with healthcare data standards and governance best practices ## Full Description Dice is the leading career destination for tech experts at every stage of their careers. Our client, Apetan Consulting, is seeking the following. Apply via Dice today! Job Title: Data Engineer (Microsoft Fabric | Healthcare AI Initiative) Location: Houston, TX (Client HQ) Duration: Contract to Hire (Conversion required, no sponsorship available) Job Description: We are seeking a Data Engineerto support a Healthcare AI initiative leveraging Microsoft Fabric and modern data engineering tools. The ideal candidate will have strong experience with data ingestion, orchestration, and transformation in cloud-based environments, particularly Azure. Responsibilities: • Design, develop, and maintain scalable data pipelines within Microsoft Fabric and Azure ecosystem. • Work with structured and unstructured healthcare datasets to support AI/ML initiatives. • Build and optimize data ingestion, processing, and storage solutions using Spark, Delta tables, SQL Server, and Python. • Collaborate with data scientists, analysts, and product teams to deliver clean, reliable, and accessible datasets. • Ensure compliance with healthcare data standards and governance best practices. Required Skills: • Strong hands-on experience with Microsoft Fabric and Azure Data Services. • Expertise in Spark, Python, SQL Server, and Delta tables. • Proven track record of building and orchestrating data ingestion pipelines. • Prior experience in healthcare data (claims, EHR, patient, or related). • Strong understanding of data governance, compliance, and security in healthcare contexts. • Familiarity with AI/ML pipelines and integration with healthcare analytics. • Experience working in large-scale enterprise environments. • Strong communication skills to work with cross-functional teams. Additional Information: Must be able to convert to full-time without sponsorship

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