NC FAST Power BI and Data engineer (806590)
Client: NC DHHS
Location: Raleigh, NC 27607
Duration: 12+ Months
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.
Skills:
Strong Hands-on experience configuring, designing, developing and testing dashboards using Power BI
Experience supporting Power BI datasets, dataflows, and DirectQuery/Import models
Experience working with structured and semi-structured data formats (JSON, CSV, Parquet, etc.).
Strong experience in designing and optimizing scalable data pipelines using modern platforms like Azure Synapse, Snowflake or Databricks workflows
SQL Mastery: Advanced query writing, ETL/ELT, performance tuning, and optimization
Programming Languages: Strong proficiency in Python or Scala for data processing.
Experience with Programming and Scripting (SQL, T-SQL, and data query optimization)
Solid understanding of Azure cloud services (Synapse, Data Lake, Data Factory, Azure SQL, monitoring tools).
Experience in Azure Data Lake Storage (ADLS), Delta Lake, and data modeling concepts and Warehousing (star schema, snowflake schema)
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