> Markdown version of [/jobs/ext/4590595-azure-data-engineer-database-administrator](https://www.wearedevelopers.com/jobs/ext/4590595-azure-data-engineer-database-administrator). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Azure Data Engineer / Database Administrator

- **Company:** Stellar Professionals
- **Location:** Lansing, MI, United States (Remote available)
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Microsoft Azure, Databases, Data Dictionary, Extract Transform Load (ETL), Data Warehousing, Database Security, Disaster Recovery, SQL Azure, Performance Tuning, Windows PowerShell, Scrum Methodology, SQL Databases, SQL Server Reporting Services, Transact-SQL, Azure Data Factory, Database Optimization, Performance Monitor, Database Backup, Data Pipelines
- **Published:** November 5, 2026
- **Apply:** https://www.dice.com/job-detail/b5b5f711-b4c0-43c8-8118-aefdae7f1ab1

## About the Role

Primary Technical Skills:

 * Azure Database Services
 * SQL Data Modeling & Architecture
 * ETL Development & Data Pipelines
 * T-SQL (8-10 years experience required)

Core Competencies & Tools:

 * PowerShell
 * Azure DevOps
 * Scrum Methodology
 * SQL Server Reporting Services (SSRS)
 * Database Performance Tuning & Troubleshooting, Experience Required: 12+ years of relevant experience.

## Description

We are seeking a Database Administrator 4 with at least 12 years of experience to serve as a Subject Matter Expert (SME) for high-scale data warehouse modernization., * Data Pipeline & ETL: Design, implement, and maintain complex extraction, transformation, and loading (ETL) data pipelines moving to cloud environments.

 * Database Administration & Design: Oversee logical and physical data modeling, data dictionaries, performance tuning, and security recovery procedures.
 * Optimization & Integrity: Use T-SQL, DDL, and DCL to define objects, monitor performance, maintain data integrity, and minimize redundancy.
 * Disaster Recovery: Enforce architectural standards, monitor database security, and execute database backup and recovery procedures.