Senior Healthcare Data Engineer – Snowflake & Azure

Senior Healthcare Data Engineer – Snowflake & Azure

Direct Hire – hybrid onsite regionally

Liberty Personnel Services is seeking a Senior Healthcare Data Engineer for an established organization looking to strengthen its enterprise data platform. This role will focus on building and optimizing cloud-based data solutions that support complex data integration, operational reporting, financial analysis, and business intelligence.

The ideal candidate brings extensive hands‑on experience with Snowflake, Azure Dev Ops, SQL, and large-scale data engineering, along with a strong understanding of healthcare claims and related data workflows.

Responsibilities

• Design, develop, and maintain scalable Snowflake data warehouses and ETL/ELT pipelines.
• Build data ingestion and transformation processes using Snowpipe, Streams, Tasks, Dynamic Tables, and Azure Data Factory.
• Develop and maintain Bronze, Silver, and Gold data layers to support reporting and analytics.
• Integrate, transform, and validate healthcare claims, eligibility, enrollment, and provider data.
• Implement data quality controls, reconciliation processes, and financial validation rules.
• Optimize SQL queries, warehouse performance, processing efficiency, and cloud resource utilization.
• Develop and maintain automated deployment pipelines, source control, and CI/CD workflows using Azure Dev Ops and Git.
• Support Azure data services, including ADLS Gen2 and Blob Storage, as well as SQL Server and legacy SSIS integrations.
• Apply data security, access controls, encryption, and masking practices to protect sensitive information.
• Collaborate with business, finance, operations, and analytics teams to deliver reliable data solutions.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related discipline.
• 10+ years of data engineering, database development, or enterprise data warehousing experience, ideally within healthcare.
• Extensive hands‑on experience with Snowflake, including ingestion, incremental processing, data transformation, security, and performance tuning.
• Hands‑on Azure Dev Ops experience with Git, CI/CD pipelines, automated deployments, and release management.
• Strong SQL skills, including complex queries, data modeling, database design, and optimization.
• Experience with Azure Data Factory, ADLS Gen2, Blob Storage, and cloud-based data integration.
• Knowledge of healthcare claims processing, eligibility, enrollment, provider data, and claims adjudication.
• Familiarity with X12 EDI transactions, including 837, 835, 834, 270/271, and 276/277, along with CMS-1500 and UB-04 claim forms.
• Understanding of healthcare coding standards such as ICD-10, CPT/HCPCS, DRG, NDC, and revenue codes.
• Knowledge of HIPAA, PHI/PII security, data governance, and disaster recovery practices.
• Strong analytical, communication, and problem‑solving skills.