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Internship Azure Data Engineer Jobs in Wisconsin

Off-shift Azure Data Engineer

Beloit, WI · On-site

$57 - $74/hr

Multiple programming languages, frameworks, cloud architecture: * Languages: T-SQL, Python, C# * ETL: Azure Data Factory, Azure Databricks * Architectural Patterns: Data Warehousing, Medallion ...

Off-shift Azure Data Engineer

Beloit, WI · On-site

$57 - $74/hr

Required Skills Multiple programming languages, frameworks, cloud architecture: * Languages: T-SQL, Python, C# * ETL: Azure Data Factory, Azure Databricks * Architectural Patterns: Data Warehousing ...

Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Cloud data platforms (Azure preferred; AWS/Google Cloud Platform acceptable) * Azure Data Lake ... Engineering generalist (not toolonly or reportingonly) * Comfortable working in ambiguous ...

... Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and ...

Palantir Data Engineer | ONSITE

Milwaukee, WI · On-site

$112K - $135K/yr

Data Engineer Work Location: ONSITE - Milwaukee, Wisconsin Responsibilities: * Develop and maintain ... Experience with Azure Data Factory ADF is a plus * Strong problem-solving skills and attention to ...

Palantir Data Engineer | ONSITE

Milwaukee, WI · On-site

$112K - $135K/yr

Data Engineer Work Location: ONSITE - Milwaukee, Wisconsin Responsibilities: * Develop and maintain ... Experience with Azure Data Factory ADF is a plus * Strong problem-solving skills and attention to ...

Senior Data Engineer

Madison, WI · On-site

$155K - $175K/yr

We are seeking a Senior Data Engineer to design, build, and optimize modern cloud-based data ... The ideal candidate has strong Databricks experience, expertise with Azure data technologies, and a ...

New

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

Associate Data Engineer

Milwaukee, WI · On-site

$85K - $162K/yr

Working primarily inside the Microsoft stack (Azure, Synapse, and Microsoft Fabric), you will ... Data Engineering: Develop scalable, well‑documented ETL/ELT pipelines using T‑SQL, Python ...

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

Azure Databricks Developer

Madison, WI · On-site

$55.50 - $68.75/hr

Madison, WI Duration: 12 Months Must have working experience in Python R Spark Azure Databricks PySpark SparkSQL Scala Azure Data Factory DevOps KeyVault Blob Storage Data Lake Delta Lake PowerShell ...

... Azure Data Factory to enhance data engineering capabilities - Leading teams in the strategic planning and execution of data-driven projects - Overseeing the deployment of scalable data solutions ...

Senior Data Engineer

Milwaukee, WI · Hybrid

$104K - $141K/yr

Design, develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks ... Define and enforce data engineering standards - naming conventions, partitioning strategies ...

Sr. Data Engineer

Madison, WI

$114K - $137K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

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Internship Azure Data Engineer information

What kinds of projects and technologies can I expect to work with during an Azure Data Engineer internship?

As an Azure Data Engineer intern, you'll typically gain hands-on experience with cloud data solutions, such as building and managing data pipelines using Azure Data Factory, integrating data sources with Azure Databricks or Synapse Analytics, and working with Azure SQL databases. Interns often participate in real-world projects like data migration, data cleansing, and developing dashboards for business insights. You will likely collaborate closely with data scientists, software developers, and business analysts, learning best practices for data security, scalability, and performance in a cloud environment.

What does an Internship Azure Data Engineer do?

An Internship Azure Data Engineer assists in designing, building, and maintaining data solutions using Microsoft Azure technologies. Responsibilities typically include working with data pipelines, cloud databases, and tools such as Azure Data Factory, Azure SQL Database, and Azure Databricks. Interns often help with data integration, transformation, and storage tasks, as well as collaborating with senior engineers and stakeholders to support data-driven projects. This role provides valuable exposure to cloud computing, big data, and the practical application of data engineering concepts.

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

AspectInternship Azure Data EngineerData Analyst Intern
Required CredentialsBasic knowledge of Azure, SQL, and data engineering conceptsBasic understanding of data analysis, Excel, and SQL
Work EnvironmentCloud platforms, data pipelines, and database managementData visualization, reporting, and data interpretation
Employer & Industry UsageTech companies, cloud service providers, data-driven organizationsBusiness, marketing, finance sectors, and consulting firms

Internship Azure Data Engineer roles focus on cloud-based data pipeline development and management using Azure tools, while Data Analyst Internships emphasize data interpretation and reporting. Both roles are entry-level, often require SQL knowledge, and serve data-driven industries, but they differ in technical focus and daily tasks.

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

To thrive as an Internship Azure Data Engineer, you need a solid understanding of data management concepts, SQL, and a background in computer science or a related field. Familiarity with Microsoft Azure services like Azure Data Factory, Azure SQL Database, and tools such as Power BI is typically required, along with a willingness to pursue certifications like Microsoft Certified: Azure Data Engineer Associate. Strong analytical thinking, problem-solving skills, and effective teamwork set candidates apart in this role. These skills are essential to efficiently design, implement, and maintain data solutions that support business intelligence and decision-making in cloud environments.
What are the most commonly searched types of Azure Data Engineer jobs in Wisconsin? The most popular types of Azure Data Engineer jobs in Wisconsin are:
What job categories do people searching Internship Azure Data Engineer jobs in Wisconsin look for? The top searched job categories for Internship Azure Data Engineer jobs in Wisconsin are:
Off-shift Azure Data Engineer

Off-shift Azure Data Engineer

Samprasoft

Beloit, WI • On-site

$57 - $74/hr

Other

Posted 13 days ago


Job description

Hands-On Backend Software Engineer

Hands-on backend software engineer in an agile environment with multiple programming languages, frameworks, cloud architecture.

Required Skills:

  • Multiple programming languages, frameworks, cloud architecture:
    • Languages: T-SQL, Python, C#
    • ETL: Azure Data Factory, Azure Databricks
    • Architectural Patterns: Data Warehousing, Medallion Architecture, Microservices Architecture, Event-based Architecture
    • Source control: Git code management
    • Strong data modeling and lineage background
  • Deploying production services in a cloud environment; ideally Azure including:
    • Azure Functions, Azure Data Factory, Azure Batch Service, Azure API Management, GraphQL
    • App Insights (Logging / Alerts)

Job Duties:

The client is looking to staff one, possibly two, resources skilled in software development primarily around database engineering abilities. The client would be asking this/these resource(s) to assist with off-hours, as well as weekends, deployments, running ETL pipelines, and reacting to failures across many different applications and our datahub platform.

Job Requirements:

The Client, 14-time winner of Gallup’s Great Workplace Award, with more than 700 stores and $18+ billion in revenue, is seeking a Technical Product Owner to join the Data Solutions team to help deliver ODS (Operational Data Store) solutions that support a variety of projects involving Digital B2B eCommerce, Order Gateway processing applications, business process solutions, and much more. We believe in high-quality solutions that are highly reliable and highly available that are implemented using modern technology and constant innovation.

As a Data Solutions Backend Software Engineer, you will…

  • Design, develop, implement, and maintain solutions in Azure using the following tech: Azure SQL, Databricks, Azure Data Factory, and GraphQL. Expertise in Batch Services, Service Buses, Event Grid, Function Apps, APIM, App Insights, Key Vault, and performance tuning/optimization.
  • Care about quality and clean code; deliver high quality code including logging, alerting, and monitoring – the DevOps mindset
  • Work in an agile fashion to develop, estimate, test, and maintain our backend systems, while collaborating with team members on product backlog grooming, sprint planning, execution, review, and retrospective
  • Be an active contributor to development best practices and code reviews to ensure coding standards are followed, implementation meets requirements, and proper tests are written
  • Communicate effectively with all associates and business contacts to promote a strong sense of teamwork
  • Foster an innovative culture with an eye towards a DevOps mindset, scalability, reliability & performance
  • Design high-performing queries and views; performance tuning of queries
  • Design efficient DB schemas
  • Data Driven Unit tests for Validating SQL

Qualifications:

  • Bachelor’s degree in Computer Science or comparable work experience
  • 5+ years of proven experience working as a hands-on Backend Software Engineer in an agile environment with multiple programming languages, frameworks, cloud architecture:
    • Languages: T-SQL, Python, C#
    • ETL: Azure Data Factory, Azure Databricks
    • Architectural Patterns: Data Warehousing, Medallion Architecture, Microservices Architecture, Event-based Architecture
    • Source control: Git code management
    • Strong data modeling and lineage background
  • Deploying production services in a cloud environment; ideally Azure including:
    • Azure Functions, Azure Data Factory, Azure Batch Service, Azure API Management, GraphQL
    • App Insights (Logging / Alerts)
  • Demonstrated experience in identifying, debugging, and resolving complex production issues
  • Excellent written and verbal communication skills and strong cognitive ability especially with respect to understanding, documenting, and describing complex technical subjects
  • Strong interpersonal skills and broad business and technical knowledge

Bonus Skills:

  • Cloud experience with Azure (Web Apps, Terraform, Azure DevOps, DBT)

Desired Skills & Experience:

  • 5+ years of proven experience working as a hands-on Backend Software Engineer in an agile environment with multiple programming languages, frameworks, cloud architecture:
    • Languages: T-SQL, Python, C#
    • ETL: Azure Data Factory, Azure Databricks
    • Architectural Patterns: Data Warehousing, Medallion Architecture, Microservices Architecture, Event-based Architecture
    • Source control: Git code management
    • Strong data modeling and lineage background
  • Deploying production services in a cloud environment; ideally Azure including:
    • Azure Functions, Azure Data Factory, Azure Batch Service, Azure API Management, GraphQL
    • App Insights (Logging / Alerts)
  • Demonstrated experience in identifying, debugging, and resolving complex production issues
  • Excellent written and verbal communication skills and strong cognitive ability especially with respect to understanding, documenting, and describing complex technical subjects
  • Strong interpersonal skills and broad business and technical knowledge

Bonus Skills:

  • Cloud experience with Azure (Web Apps, Terraform, Azure DevOps, DBT)

This is a high priority requisition.