Power BI and Data engineer// Local to NC

Engagement Type

Contract

Short 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).

Complete Description

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.

Required/Desired Skills

Skill	Required/Desired	Amount	of Experience
Strong Hands-on experience configuring, designing, developing and testing dashboards using Power BI	Required	5.0	Years
Experience supporting Power BI datasets, dataflows, and DirectQuery/Import models.	Required	5.0	Years
Experience working with structured and semi-structured data formats (JSON, CSV, Parquet, etc.).	Required	3.0	Years
Strong experience in designing and optimizing scalable data pipelines using modern platforms like Azure Synapse, Snowflake or Databricks workflows	Required	3.0	Years
SQL Mastery: Advanced query writing, ETL/ELT, performance tuning, and optimization.	Required	5.0	Years
Programming Languages: Strong proficiency in Python or Scala for data processing.	Required	3.0	Years
Hands-on experience in developing efficient PL/SQL procedures	Required	5.0	Years
Experience with Programming and Scripting (SQL, T-SQL, and data query optimization)	Required	2.0	Years
Solid understanding of Azure cloud services (Synapse, Data Lake, Data Factory, Azure SQL, monitoring tools).	Required	2.0	Years
Experience in Azure Data Lake Storage (ADLS), Delta Lake, and data modeling concepts and Warehousing (star schema, snowflake schema)	Required	2.0	Years