Description

Required Skills: 

• 10–15+ years of experience in Data Engineering (hands-on delivery roles)
• Experience in Healthcare Payer / Medicaid domain with knowledge of Claims, Member, Provider, Eligibility data and HIPAA/PHI compliance
• Strong Azure-first cloud experience (architecture, implementation, operations)
• Hands-on expertise in Azure services: ADLS Gen2, Azure Databricks, Azure Data Factory (ADF), Azure Synapse, Azure SQL / SQL Server, Azure Key Vault, Azure DevOps (Repos, Pipelines, Boards)
• Strong programming skills in SQL (advanced querying, optimization), Python, PySpark
• Experience building ETL / ELT pipelines and working with batch & streaming data processing
• Strong data modeling experience: conceptual, logical, physical, dimensional (star/snowflake), SCDs, historized data
• Knowledge of Data Lake / Lakehouse architectures, CDC, and incremental data processing
• Ability to review and optimize data models, transformations, and schema evolution
• Experience implementing data governance across Dev/Test/Prod environments
• Exposure to CI/CD pipelines and DevOps practices
• Experience with AI-assisted / Agentic development, including task breakdown, architecture definition, guardrails, and governance
• Understanding of AI-assisted SDLC, security, compliance, auditability, and traceability

Key Skills

Education

Bachelor's degree