Data Engineer

Key Responsibilities & Skills

• Cloud-based Data Pipeline Design

• ETL / ELT Development & Optimization

• Data Modeling & Warehousing (Star & Snowflake Schemas)

• Power BI Dashboard Development

• Power BI Dataflows & DirectQuery Management

• Analytics Reporting for Child Welfare & Medicaid Programs

• Performance Tuning & Cost Optimization

• Data Integration with Salesforce / Curam / Oracle

• Troubleshooting Pipelines & Dashboard Refreshes

• Semantic Layer Design

Technical Skills

• Azure Synapse / Data Factory / ADLS / Azure SQL / Monitoring Tools

• Power BI (Dashboards / Datasets / Dataflows)

• SQL (T‑SQL / PL/SQL)

• Python / Scala

• Snowflake / Databricks

• Delta Lake

• Salesforce API Integration

Education

Bachelor's Degree in Computer Science, Information Systems, Data Science, Software Engineering, Business Analytics. Preferred: Master's in Data Science, Master's in Computer Science, Master's in Business Analytics, MS in Information Systems.

Industry Experience

• Health & Human Services

• Child Welfare

• Medicaid Programs

• Public Sector

• Government Analytics

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