Senior Data Engineer

Strong experience with Azure data services (ADLS, Synapse, Azure SQL) Technical Skills: -Proficiency in: -Python and/or PySpark -SQL (advanced). -Experience with CI/CD and DevOps practices (Azure DevOps, Git) Data & Platform Expertise: -Data modeling experience (dimensional + semantic layer support).

Education requirements:
Bachelor's degree in Computer Science, Information Technology or related field
Core Requirements:
-5+ years of experience in data engineering / data platform development
-Hands-on experience with Microsoft Fabric (required), including:
-Lakehouse architecture
-Data Factory (Fabric pipelines)
-Dataflows Gen2 -Warehousing / SQL endpoints
-Strong experience with Azure data services (ADLS, Synapse, Azure SQL) Technical Skills:
-Proficiency in: -Python and/or PySpark -SQL (advanced)
-Experience building and optimizing:
-ETL/ELT pipelines
-Data ingestion frameworks (batch & streaming)
-Strong understanding of:
-Medallion architecture (Bronze/Silver/Gold layers)
-Delta Lake and parquet-based storage
-Experience with CI/CD and DevOps practices (Azure DevOps, Git) Data & Platform Expertise:
-Data modeling experience (dimensional + semantic layer support)
-Experience integrating data for:
-Reporting (Power BI preferred)
-Downstream analytics and AI/ML use cases
-Familiarity with data governance and security (RBAC, HIPAA, data policies)

Compensation:
We look forward to reviewing your application. We encourage everyone to apply - even if every box isn’t checked for what you are looking for or what is required.

PDSINC, LLC is an Equal Opportunity Employer.