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Internship Azure Sql Database Jobs in Utah (NOW HIRING)

Data Engineer

Woods Cross, UT ยท On-site

$108K - $129K/yr

Azure SQL Database or SQL Server * Experience orchestrating data workflows (e.g., Azure Functions, Container Apps, Airflow, or similar) * Azure Blob Storage or Data Lake * Experience building and ...

Data Architect

Draper, UT ยท On-site

$140 - $200/hr

Data Factory, ADLS, Synapse Analytics, Databricks, Azure SQL Database, Logic Apps, Event Hubs, Stream Analytics, and Microsoft Fabric. * Mastery of SQL, dimensional modeling (star/snowflake schemas ...

Data Architect

Draper, UT ยท On-site

$59.50 - $76.75/hr

Data Factory, ADLS, Synapse Analytics, Databricks, Azure SQL Database, Logic Apps, Event Hubs, Stream Analytics, and Microsoft Fabric. * Mastery of SQL, dimensional modeling (star/snowflake schemas ...

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Internship Azure Sql Database information

What types of projects can I expect to work on during an Azure SQL Database internship?

As an Azure SQL Database intern, you will typically work on projects involving database design, optimization, and management within the Azure cloud environment. Common tasks may include assisting with data migration, writing and optimizing SQL queries, configuring security settings, and monitoring database performance. You'll often collaborate closely with database administrators, developers, and IT teams, gaining hands-on experience with real-world database challenges. These projects are designed to help you develop both technical skills and an understanding of best practices in cloud-based database management.

What is an internship Azure SQL Database?

Internship Azure SQL Database positions are entry-level roles designed for students or recent graduates to gain hands-on experience working with Microsoft's Azure SQL Database service. Interns typically assist with database management, optimization, troubleshooting, and cloud-based data solutions under supervision. These roles provide valuable exposure to cloud computing, database administration, and real-world business applications, helping interns build technical skills and prepare for careers in database or cloud technologies.

What is the difference between Internship Azure Sql Database vs Data Analyst Intern?

AspectInternship Azure Sql DatabaseData Analyst Intern
Required SkillsBasic SQL, Azure cloud knowledge, database managementData analysis, Excel, SQL, visualization tools
Work EnvironmentCloud-based database management, IT teamsData interpretation, reporting, business insights
Industry UsageIT, cloud services, database administrationBusiness, marketing, finance sectors

Internship Azure Sql Database focuses on managing and working with cloud-based databases using Azure, emphasizing technical skills in SQL and cloud platforms. In contrast, Data Analyst Interns analyze data to generate insights, often using SQL and visualization tools. Both roles require some SQL knowledge but differ in their core focus and industry applications.

What are the key skills and qualifications needed to thrive as an Azure SQL Database intern, and why are they important?

To thrive as an Azure SQL Database Intern, you need a solid understanding of SQL programming, database concepts, and basic knowledge of cloud computing, ideally supported by coursework in computer science or information technology. Familiarity with Microsoft Azure Portal, Azure SQL Database, and tools like SQL Server Management Studio (SSMS) is typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns solve problems and collaborate with team members. These skills and qualifications are crucial for correctly managing data, maintaining database performance, and contributing effectively to cloud-based projects.
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Full-time

Posted 16 days ago


Job description

Data Engineer / Microsoft SQL Database Administrator

ย The Utah State Board of Education (USBE) is seeking a skilled Data Engineer / Microsoft SQL Databaseย Administrator to design, maintain, and improve our organization's data systems and cloud dataย infrastructure. This position combines Microsoft SQL Server database administration with modern dataย engineering responsibilities, including data pipeline development, cloud data lake management,ย database performance optimization, and support for analytics and reporting.

The successful candidate will have strong experience with Microsoft SQL Server, T-SQL, and databaseย administration best practices, as well as hands-on knowledge of Microsoft cloud data technologiesย including Azure Cosmos DB, Azure Data Lake Storage, and Microsoft Fabric. This role works closely with analysts, application developers, business users, and IT staff to ensure dataย is secure, reliable, accurate, well-organized, and available for operational and strategic decision-making.ย 

RESPONSIBILITIES:

  • Administer, monitor, secure, and maintain Microsoft SQL Server databases across development,ย testing, and production environments.
  • Monitor database performance, identify bottlenecks, and implement tuning strategies for SQLย Server workloads.
  • Manage database backups, restores, disaster recovery procedures, maintenance plans, andย high-availability solutions.
  • Build, maintain, and troubleshoot ETL processes that integrate data from multiple systems.
  • Design and support data pipelines using tools such as SQL Server Integration Services, Azureย Data Factory, Microsoft Fabric pipelines, notebooks, or similar technologies.
  • Work with Azure Cosmos DB to support NoSQL data storage, querying, indexing, partitioning,ย performance monitoring, and integration with downstream data platforms.
  • Support Microsoft Fabric OneLake environment, including lakehouses, warehouses, pipelines,ย notebooks, semantic models, and integration with Power BI.
  • Ensure data integrity, quality, privacy, security, and compliance with organizational policies andย applicable regulations.
  • Collaborate with technical and non-technical stakeholders to understand data needs and deliverย effective solutions.
  • Assist with database migrations, upgrades, automation, modernization efforts, and cloud dataย platform initiatives.
  • Promote best practices for data governance, data access, metadata management, and secureย data sharing.