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Internship Microsoft Azure Data Engineer Jobs in Columbus, OH

Data Engineer

Dublin, OH · On-site

$108.10K - $129.80K/yr

We are seeking a skilled Data Engineer to join our Analytics & Automation team and serve as the ... data solutions in a cloud-native Microsoft Azure environment, including data ingestion ...

Data Engineer

Dublin, OH

$108.10K - $129.80K/yr

We are seeking a skilled Data Engineer to join our Analytics & Automation team and serve as the ... data solutions in a cloud-native Microsoft Azure environment, including data ingestion ...

Data Engineer

Dublin, OH · On-site

$108.10K - $129.80K/yr

We are seeking a skilled Data Engineer to join our Analytics & Automation team and serve as the ... data solutions in a cloud-native Microsoft Azure environment, including data ingestion ...

Data Engineer (AWS, Azure, GCP)

Columbus, OH · On-site

$107K - $128.50K/yr

Data Engineer (AWS, Azure, GCP) CapTech is an award-winning consulting firm that collaborates with ... Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure ...

... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Data Engineer (AWS, Azure, GCP)

Columbus, OH · On-site

$110.60K - $132.80K/yr

Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure ... Utilizing your skills in engineering best practices to solve complex data problems * Collaborating ...

Data Engineer (AWS, Azure, GCP)

Columbus, OH · On-site

$110.60K - $132.80K/yr

CapTech Data Engineering consultants enable clients to build and maintain advanced data systems ... Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure ...

... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Data Engineer

Columbus, OH · On-site

$107K - $128.50K/yr

Senior Data Engineering Skills with Snowflake, Azure Data Factory, prefer DB2 Must have excellent experience with Snowflake Hands on experience with Microsoft Stack - SSIS, SQL, etc. Possess strong ...

Databricks Data Engineer Columbus, Ohio, United States About the Job Title: Databricks Data ... Proficient in working on Azure cloud components Azure Data Factory, Azure Databricks, Azure Data ...

Microsoft Fabric Data Architect

Columbus, OH · On-site

$59.50 - $76.50/hr

Microsoft Fabric Data Architect We are seeking an experienced and highly motivated Microsoft Fabric ... Azure SQL, Azure Databricks, and Purview. * Proficiency in data governance, security, DevOps, ...

Sr Databricks Data Engineer

Columbus, OH

$100.90K - $138.60K/yr

Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology platforms, modernize data environments, and unlock value through innovation. As a Senior Consultant ...

Sr Databricks Data Engineer

Columbus, OH · On-site

$110.60K - $132.80K/yr

... Microsoft Azure, or Google Cloud Platform (GCP) • 5+ years of experience with Apache Spark, Delta Lake, Lakehouse architecture, and enterprise data warehousing, including third normal form (3NF ...

Lead Data Engineer

Columbus, OH · On-site

$107K - $128.50K/yr

Lead Data Engineer Purpose of Position The Lead Data Engineer is a hands-on technical leader ... Azure Data Factory (ADF), Databricks, and DBT Lead the development of Data Vault 2.0 models and ...

... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

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Internship Microsoft Azure Data Engineer information

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How much do internship microsoft azure data engineer jobs pay per hour?

As of May 28, 2026, the average hourly pay for internship microsoft azure data engineer in Columbus, OH is $24.55, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $27.88 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Microsoft Azure Data Engineer, and why are they important?

To thrive as an Internship Microsoft Azure Data Engineer, you need foundational knowledge in data modeling, SQL, and cloud computing concepts, often supported by coursework in computer science or related fields. Familiarity with Microsoft Azure services such as Azure Data Factory, Azure SQL Database, and Azure Databricks, as well as pursuing Microsoft Certified: Azure Data Engineer Associate certification, is highly valuable. Strong problem-solving skills, collaboration, and effective communication help interns excel in team environments and adapt quickly to new challenges. These skills and qualifications are essential for supporting data-driven solutions, ensuring project success, and building a solid foundation for a future career in cloud data engineering.

What types of projects and responsibilities can an intern expect as a Microsoft Azure Data Engineer?

As a Microsoft Azure Data Engineer intern, you can expect to work on real-world projects that involve designing, implementing, and maintaining data solutions using Azure services such as Azure Data Factory, Azure SQL Database, and Azure Databricks. Typical responsibilities include assisting with data pipeline development, data migration, and data transformation tasks under the guidance of experienced engineers. You will also collaborate closely with data analysts, software developers, and business stakeholders to understand data requirements and ensure solutions meet business needs. This role provides hands-on experience with cloud technologies and exposes you to industry best practices in data engineering within collaborative, agile team environments.

What does an Internship Microsoft Azure Data Engineer do?

An Internship Microsoft Azure Data Engineer assists in designing, building, and maintaining data solutions on the Microsoft Azure cloud platform. Interns typically work under the supervision of experienced engineers to help manage data pipelines, ensure data quality, and implement data storage solutions. They gain hands-on experience with Azure tools such as Azure Data Factory, Azure SQL Database, and Azure Databricks while learning best practices in cloud data engineering. This role is ideal for students or recent graduates looking to start a career in cloud-based data management.
What are the most commonly searched types of Microsoft Azure Data Engineer jobs in Columbus, OH? The most popular types of Microsoft Azure Data Engineer jobs in Columbus, OH are:
What are popular job titles related to Internship Microsoft Azure Data Engineer jobs in Columbus, OH? For Internship Microsoft Azure Data Engineer jobs in Columbus, OH, the most frequently searched job titles are:
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Data Engineer

$108.10K - $129.80K/yr

Other

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Job description

JOB SUMMARY: We are seeking a skilled Data Engineer to join our Analytics & Automation team and serve as the primary architect and builder of our data pipelines. This role will be responsible for designing, implementing, and maintaining scalable, cost-effective data solutions that power enterprise analytics and reporting. The ideal candidate will work closely with business stakeholders to identify data needs, ensure high data quality, and optimize our use of Azure-based technologies for ongoing innovation and performance.
ESSENTIAL DUTIES
• Design, build, and maintain robust, scalable data pipelines in Azure using services such as Azure Data Factory, Azure Synapse, and Azure Data Lake.
• Ingest and integrate data from diverse sources (APIs, databases, files, etc.) into centralized repositories for analytics use.
• Develop and manage ETL/ELT workflows that transform raw data into clean, analytics-ready models aligned with business requirements.
• Create microservices architecture that rapidly scales with business growth and AI capabilities.
• Build data pipelines that feed AI models with clean, structured logistics data.
• Implement real-time analytics engines powering predictive logistics capabilities.
• Ensure data quality, integrity, and governance through validation, monitoring, and alerting systems.
• Collaborate with business and technical teams to gather data requirements and ensure alignment between data assets and business needs.
• Implement cost-conscious data engineering strategies, optimizing performance while managing cloud consumption and storage expenses.
• Maintain and enhance a semantic data layer or curated datasets to support self-service BI (Power BI) and advanced analytics.
• Contribute to the architecture of our data platform, including security, scalability, and performance best practices.
• Automate data operations and deployment processes using CI/CD pipelines and infrastructure-as-code (e.g., ARM, Bicep, or Terraform).
• Stay current with emerging Azure technologies and recommend improvements to existing data workflows
• Other duties as assigned.
QUALIFICIATIONS
Education
• Bachelor's Degree in an IT-related program OR equivalent with 7+ years of technology experience required.
• Additional related training and certifications will be weighted on a case-by-case basis.
Experience
• 5+ years of hands-on experience in a data engineering or similar role, with a proven track record of building end-to-end data solutions in a cloud-native Microsoft Azure environment, including data ingestion, transformation, and modeling for analytics use cases
• Work experience in the transportation industry is a plus.
Knowledge, Skills, and Abilities
• Proven experience building and managing data pipelines in Microsoft Azure environments.
• Proficiency with tools like Azure Data Factory, Synapse Analytics, Data Lake, and Power BI integration.
• Strong knowledge of SQL, data modeling, and ELT/ETL patterns.
• Experience working with APIs, JSON, and structured/unstructured data sources.
• Demonstrated ability to work cross-functionally to define and deliver high-quality data solutions.
• Strong organizational skills and ability to perform multiple tasks simultaneously, set priorities, work in teams with diverse cultural backgrounds, work independently, and handle conflicting priorities while maintaining consistent, quality work with attention to detail and meet tight deadlines.
• Availability to work a flexible schedule as needed.
• Proficient in Microsoft Office Suite.
• Demonstrated leadership skills, with the ability to effectively communicate and collaborate with cross-functional teams.
• Attention to detail, with a focus on accuracy and compliance in a fast-paced, dynamic environment.
• Logistics / Supply Chain experience preferred.