Data Engineer & Power BI

Hybrid in Raleigh, NC, US • Posted 1 day ago • Updated 1 day ago
Contract Independent
Contract W2
1 Year
50% Travel Required
Hybrid
$60 - $66/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Data Engineer
  • Power BI
  • SQL/ PL/SQL / T-SQL
  • Azure Synapse/Snowflake/Databricks
  • ETL
  • Python/Scala
  • Azure Data Lake Storage (ADLS)/ Delta Lake/ data modeling/ Warehouse

Summary

Job Title:

Location: Raleigh, NC - Hybrid

Interview Type: Either a webcam interview or In Person

Description:

Client 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 Medicaid Program(s).

The Client 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

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10453601
  • Position Id: 9038306
  • Posted 1 day ago
Contact the job poster
SP

Sam Puri

Senior IT Recruiter @ Sage Group
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