- S R INTERNATIONAL INC
- St Paul, MN
- Full-Time
- 69 days ago
Azure Database Engineer.
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Azure Database Engineer: our view in 3 lines...
- The Role:An experienced engineer is needed to design and support Azure databases, Data Lakes and Data Lakehouse solutions for the modernization of the Comprehensive Child Welfare Information System.
- The Person:The person will design, develop and maintain Azure databases, build data transformation and cloud integration solutions, implement backup and disaster recovery, optimize performance, and mentor Database Engineers.
- Requirements:The role requires Azure Databricks, Oracle Databases, Azure Data Factory, Azure Monitor, Azure Resource Manager, Azure CLI, PowerShell, SQL Analytics, RBAC, encryption and network security.
About the role
Job Title: Azure Database Engineer
Job Code: MN_Site-3832
Client: State of Minnesota – MNIT / Department of Children, Youth, and Families (DCYF)
Location: Saint Paul, Minnesota (Remote/Hybrid)
Duration: Contract through June 21, 2027
Work Hours: Monday–Friday | 9:00 AM – 5:00 PM (40 Hours/Week)
Work Location: Remote or Hybrid (Minnesota)
Closing Date: 08/12/2026 @ 2:00 PM CDT
Position Overview
The State of Minnesota (MNIT), in partnership with the Department of Children, Youth, and Families (DCYF), is seeking an experienced Azure Database Engineer to support the modernization of the Comprehensive Child Welfare Information System (CCWIS). This role will focus on designing, implementing, and supporting Azure databases, Data Lakes, and Data Lakehouse solutions while consolidating data from 87 county databases into a centralized Azure environment. The selected candidate will also mentor other Database Engineers and help implement secure, scalable, and high-performing cloud data solutions.
Required Skills
- Â Experience designing, developing, and implementing Azure Data Lakes and relational/non-relational databasesÂ
- Â Strong experience with Azure Databricks
- Â Experience with Oracle Databases
- Â Experience developing data transformation solutions and cloud integrationsÂ
- Â Experience coding and testing data load programs using Azure data load utilities
- Â Strong experience with CI/CD pipelines
- Â Knowledge of cloud computing conceptsÂ
- Â Experience with Azure Data Factory, Azure Monitor, Azure Resource Manager, Azure CLI/PowerShell, SQL Analytics, and Query Performance Insight
- Â Experience implementing backup and disaster recovery solutionsÂ
- Â Experience with Role-Based Access Control (RBAC), encryption, and network security
- Â Strong organizational and time management skillsÂ
- Â Experience mentoring technical team membersÂ
Preferred Skills
- Â 7+ years of Azure database engineering experienceÂ
- Â Azure SQL Database, Managed Instances, and Elastic PoolsÂ
- Â Data Lakehouse architectureÂ
- Â Data modeling, schema design, and indexing strategiesÂ
- Â Data Warehouse AdministrationÂ
- Â Teradata Data Warehouse experienceÂ
Key Responsibilities
- Â Design, develop, and maintain Azure relational and non-relational databases.Â
- Â Develop and support Azure Data Lakes and Data Lakehouse solutions.Â
- Â Build and optimize data transformation processes.Â
- Â Implement secure, scalable, and high-performance cloud database solutions.Â
- Â Configure backup, recovery, and disaster recovery strategies.Â
- Â Implement RBAC, encryption, and security best practices.Â
- Â Optimize data access patterns and database performance.Â
- Â Maintain technical documentation and support knowledge transfer.Â
- Â Collaborate with cross-functional teams to ensure secure and reliable data solutions.Â
- Â Mentor Database Engineers and provide technical guidance.Â
Important Notes
- Remote or Hybrid work arrangement.Â
- Â Microsoft Teams interviews.Â
- Â One resource may be submitted per vendor.Â
- Â Anticipated start date: September 21, 2026.Â
- Â Contract may be extended at the State's discretion.Â
Primary Skills
Azure, Azure SQL, Azure Database, Azure Data Factory, Azure Monitor, Azure Resource Manager, Azure CLI, PowerShell, Databricks, Oracle, SQL, Data Lakes, Data Lakehouse, Data Warehousing, Data Modeling, Data Transformation, CI/CD, Cloud Computing, Disaster Recovery, Backup & Recovery, RBAC, Azure Security, Data Security, Query Performance, SQL Analytics, Teradata, Non-Relational Databases, Database Optimization, Cloud Infrastructure Integration, Azure Managed Instances, Elastic Pools.

