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# MO 85-Power BI and Data Engineer

- **Company:** Cornerstone Barricades
- **Location:** Raleigh, NC, United States
- **Experience:** Experienced
- **Contract:** Temporary contract
- **Skills:** Microsoft Azure, Computer Programming, Extract Transform Load (ETL), Database Queries, Monitoring of Systems, JSON, Python (Programming Language), SQL Azure, Performance Tuning, Query Optimization, Power BI, Azure Data Lake, PL-SQL, SQL Databases, Transact-SQL, Parquet, Data Processing, Snowflake, Data Lakes, Semi-structured Data, Star Schema, Azure Synapse Analytics, Data Pipelines, Databricks, Programming Languages
- **Published:** September 6, 2026
- **Apply:** https://focusedhrsolutions.betterteam.com/mo-85-power-bi-and-data-engineer/apply/standard

## About the Role

* 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.
 * The State of NC has the right to negotiate the rate. Please confirm you accept.
 * Please provide a brief description of recent hands-on development work in building data pipeline using Azure Synapse Analytics.



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