> Markdown version of [/jobs/ext/4633990-data-base-administrator](https://www.wearedevelopers.com/jobs/ext/4633990-data-base-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). --- # Data base Administrator - **Company:** Robotics Technologies LLC - **Location:** Lansing, MI, United States - **Experience:** Experienced - **Salary:** $158,080.0 - **Contract:** Temporary contract - **Skills:** Microsoft Azure, Cloud Computing, Databases, Extract Transform Load (ETL), Data Mining, Data Warehousing, Database Development, Database Servers, DevOps, Disaster Recovery, SQL Azure, Performance Tuning, Windows PowerShell, Scrum Methodology, Query Optimization, SQL Stored Procedures, SQL Databases, Transact-SQL, Enterprise Data Management, Scripting - **Published:** November 8, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=6b465e1ab01d2843 ## About the Role * Overall Industry Experience (12+ Years Required): Minimum 12 years of hands-on experience in database administration and enterprise data management. * Core Technical Specialties (At least 3-5 Years Required): Deep technical expertise in Azure Database Services, SQL Data Modeling/Structure, and Extensive ETL Development. * T-SQL Proficiency (8-10 Years Required): Advanced T-SQL writing, stored procedure development, query optimization, and DDL/DCL scripting. * ETL Development (6-8 Years Required): Extensive track record building, testing, and optimizing complex ETL processes. * PowerShell Scripting (5 Years Required): Hands-on experience automating database administrative tasks using PowerShell. * Azure DevOps & Scrum (5 Years Required): Proven experience delivering database solutions within Azure DevOps and Scrum agile frameworks. ## Description * Cloud & Data Warehouse Engineering: Serve as SME for the SLDS data warehouse; architect, migrate, and maintain Azure Database Services while aligning with CEDS standards. * ETL Pipeline Development & Data Modeling: Design, build, and troubleshoot complex data extraction, transformation, and loading (ETL) pipelines; transition legacy on-premise ETLs to cloud infrastructure. * Database Administration & Performance Tuning: Perform physical and logical data modeling, DDL/DCL object creation, index/memory distribution monitoring, performance tuning, and recovery procedures across Dev, QA, Pre-Release, and Production environments. * Infrastructure & Security Governance: Upgrade database server infrastructure, monitor agency disaster recovery systems, implement security access controls, and enforce architectural frameworks. * DevOps & Agile Delivery: Utilize Azure DevOps, PowerShell scripting, and Scrum practices to coordinate database releases with application developers and business stakeholders.