Hybrid/Local Govt Azure Data Engineer (15+)

InnoSoul • Raleigh, NC

15h • Hybrid

About The Position

DHHS-ITD is seeking a Data Engineer for design, development, and optimization of a cloud-based analytics environment built on Microsoft Azure and Power BI for the Child Welfare and Medicaid Program(s). The Department of health and human services requires the assistance of a contract resource to serve as a Data Engineer responsible for the design, development, and optimization of data pipelines and analytics solutions/dashboards on cloud-based data platforms. This work will leverage Azure Synapse Analytics, Power BI, and integrations with Salesforce or Curam/Oracle to support program needs.

Requirements

• Strong Hands-on experience configuring, designing, developing and testing dashboards using Power BI (5 Years)
• Experience supporting Power BI datasets, dataflows, and DirectQuery/Import models (5 Years)
• Experience working with structured and semi-structured data formats (JSON, CSV, Parquet, etc.) (3 Years)
• Strong experience in designing and optimizing scalable data pipelines using modern platforms like Azure Synapse, Snowflake or Databricks workflows (3 Years)
• SQL Mastery: Advanced query writing, ETL/ELT, performance tuning, and optimization (5 Years)
• Strong proficiency in Python or Scala for data processing (3 Years)
• Hands-on experience in developing efficient PL/SQL procedures (5 Years)
• Experience with Programming and Scripting (SQL, T-SQL, and data query optimization) (2 Years)
• Solid understanding of Azure cloud services (Synapse, Data Lake, Data Factory, Azure SQL, monitoring tools) (2 Years)
• Experience in Azure Data Lake Storage (ADLS), Delta Lake, and data modeling concepts and Warehousing (star schema, snowflake schema) (2 Years)

Responsibilities

• Analyze source systems and design, develop, and maintain scalable ETL/ELT pipelines using Azure Synapse, Azure Data Factory, and related Azure services.
• Build and manage data ingestion workflows from Salesforce, including API integrations, schema alignment, and performance tuning.
• Develop and maintain data models, data transformations, and semantic layers to support Power BI reporting and analytics.
• Optimize Synapse pipelines, SQL queries, and data storage for performance, reliability, and cost efficiency.
• Troubleshoot pipeline failures, Salesforce API issues, and Power BI dataset/dataflow refresh problems.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed