Data Engineer

Job Title: Data Engineer - Implementation / Client-Facing Role

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