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:
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
