Data Engineer- (ADF & EDI 835/837)

Data Engineer – Implementation / Client-Facing Role – Remote Role Work Authorization – USC or GC Duration: 6 month contract Interview: 10 minute video assessment then Video interview with the client Must Have: • Strong experience with Azure Data Factory (ADF) • Proficiency in Python and SQL (PostgreSQL preferred) • Solid background in data engineering, ETL, and pipeline development • Assist with data integration efforts, including handling healthcare data formats where applicable (EDI 837/835) Job Description: We are seeking a Data Engineer with strong implementation experience to support the rollout of a new application within an Azure-based environment. This role is client-facing and requires strong communication skills to support presentations, discussions, and collaboration throughout the implementation lifecycle. Key Responsibilities: • Support end-to-end implementation of a new application from a data engineering perspective • Design, build, and maintain scalable data pipelines and ETL processes • Work within an existing Azure data architecture, leveraging Azure Data Factory (ADF) • Collaborate with clients and internal stakeholders to communicate technical solutions clearly • Assist with data integration efforts, including handling healthcare data formats where applicable (EDI 837/835) • Ensure data processes align with HIPAA compliance standards Required Skills: • Strong experience with Azure Data Factory (ADF) • Proficiency in Python and SQL (PostgreSQL preferred) • Solid background in data engineering, ETL, and pipeline development • Excellent client-facing and communication skills Nice to Have: • Exposure to EDI transactions (837/835) • Experience working with healthcare data and HIPAA-regulated environments Additional Notes: • This is primarily a data engineering/implementation role, not a pure EDI specialist position • EDI knowledge is beneficial but not required