Power BI and Data engineer

Position: NC FAST Power BI and Data engineer (806590)

Location: Raleigh, NC

Duration: Contract opportunity

Job Description:

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.

Key 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.

Skill	Required / Desired	Amount	of Experience

Strong Hands-on experience configuring, designing, developing and testing dashboards using Power BI

Required

5

Years

Experience supporting Power BI datasets, dataflows, and DirectQuery/Import models.

Required

5

Years

Experience working with structured and semi-structured data formats (JSON, CSV, Parquet, etc.).

Required

3

Years

Strong experience in designing and optimizing scalable data pipelines using modern platforms like Azure Synapse, Snowflake or Databricks workflows

Required

3

Years

SQL Mastery: Advanced query writing, ETL/ELT, performance tuning, and optimization.

Required

5

Years

Programming Languages: Strong proficiency in Python or Scala for data processing.

Required

3

Years

Hands-on experience in developing efficient PL/SQL procedures

Required

5

Years

Experience with Programming and Scripting (SQL, T-SQL, and data query optimization)

Required

2

Years

Solid understanding of Azure cloud services (Synapse, Data Lake, Data Factory, Azure SQL, monitoring tools).

Required

2

Years

Experience in Azure Data Lake Storage (ADLS), Delta Lake, and data modeling concepts and Warehousing (star schema, snowflake schema)

Required

2

Years