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# Data Scientist

- **Company:** BIOGENSYS
- **Location:** Raleigh, NC, United States
- **Experience:** Experienced
- **Contract:** Contract
- **Skills:** Artificial Intelligence, Data Analysis, Microsoft Azure, Cloud Computing Security, Cloud Database, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Machine Learning, Performance Tuning, Query Optimization, Role-Based Access Control, Power BI, OpenAI, Azure Active Directory, Azure Machine Learning, PL-SQL, SQL Databases, Enterprise Data Management, Azure Data Factory, Sql Optimization, Microsoft Fabric, Pyspark, Machine Learning Operations, Tools for Reporting, Azure Synapse Analytics, Data Pipelines
- **Published:** November 7, 2026
- **Apply:** https://www.dice.com/job-detail/909f5d2e-9e2a-4af5-8c6a-dc6a39ef0235

## About the Role

* Strong experience in enterprise data analytics and data engineering.
 * Expertise in Azure Synapse Analytics, Azure Data Factory, and cloud data warehousing.
 * Advanced SQL/PLSQL, query optimization, and performance tuning.
 * Hands-on experience with Python, PySpark, or Scala.
 * Knowledge of data modeling, Microsoft Fabric, and Power BI.
 * Understanding of Microsoft Entra ID, RBAC, and cloud security.
 * Familiarity with Azure OpenAI and generative AI integration.
 * Strong analytical, organizational, and problem-solving skills.

## Description

We are seeking a Mid-Level Data Scientist to design, develop, and optimize enterprise data pipelines, data warehouses, and advanced analytics solutions using Microsoft Azure. The role focuses on data engineering, analytics, AI/ML integration, and transforming complex data into actionable business insights., * Design and maintain ETL/ELT pipelines using Azure Data Factory and Synapse Pipelines.

 * Manage Azure Synapse Analytics and Microsoft Fabric Lakehouse.
 * Develop and optimize complex SQL/PL/SQL queries, procedures, and functions.
 * Build Power BI-ready datasets, dashboards, and reporting solutions.
 * Integrate AI/ML capabilities using Azure Machine Learning and Azure OpenAI.
 * Implement data governance, quality, and security using Microsoft Purview and Entra ID.
 * Develop predictive analytics models and optimize data performance.