SQL Database Administrator

Machine Learning Technologies, LLC; Lansing (MI); On-site; USD 90,000 - 130,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a data engineering professional with deep expertise in Microsoft SQL Server, T-SQL, and Azure data services to design robust ETL pipelines and scalable data architectures.

The role requires hands-on work with PowerShell, Azure DevOps, data modeling, security, backup and disaster recovery, and collaboration in Scrum/Agile teams. Familiarity with CEDS is a plus.

Qualifications

• Strong expertise in Microsoft SQL Server and T-SQL.
• Extensive ETL development, data integration, and pipeline management experience.
• Hands-on experience with Azure Database Services.
• Strong SQL data modeling, database architecture, and performance tuning.
• Experience with PowerShell scripting and Azure DevOps.
• Knowledge of database security, backup, recovery, and disaster recovery.
• Familiarity with Scrum/Agile methodologies.
• Knowledge of Common Education Data Standards (CEDS) is preferred.

Skills

T-SQL

ETL Development

PowerShell

Azure DevOps

Scrum

Tools

SQL Server

Azure Database Services

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: USC, GC, H-1B, OPT-EAD, GC-EAD, H4-EAD

Job Summary

• Strong expertise in Microsoft SQL Server and T-SQL.
• Extensive ETL development, data integration, and pipeline management experience.
• Hands-on experience with Azure Database Services.
• Strong SQL data modeling, database architecture, and performance tuning.
• Experience with PowerShell scripting and Azure DevOps.
• Knowledge of database security, backup, recovery, and disaster recovery.
• Familiarity with Scrum/Agile methodologies.
• Knowledge of Common Education Data Standards (CEDS) is preferred.

Required Experience

• T-SQL
• ETL Development
• PowerShell
• Azure DevOps
• Scrum

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.