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Power BI and Data engineer

Atash Enterprises, LLCRaleigh, NC🇺🇸United StatesPosted 27 Aug 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Raleigh, NC, United States
Posted
Yesterday
OraclePL/SQLSQLScalaT-SQLETLSnowflakeAzureDatabricksPower BIPython

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.

Skills Table:


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

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