Power BI and Data engineer

About the role

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.

Duration: 12 Months. Location: 1915 Health Services Way, Raleigh, NC 27607 (Hybrid work). Interview Mode: Either Webcam Interview or In Person.

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.

Requirements

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