Power BI and Data engineer

Novalink Solutions LLCRaleigh, NC

About The Position

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)
  • Programming Languages: 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.
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