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Internship Ai Data Engineer Jobs in Wisconsin (NOW HIRING)

Senior Data Engineer

Brookfield, WI · On-site +1

$100K - $136K/yr

The Senior Data Engineer will design and build tools and processes that help clients derive ... We embrace the responsible use of AI and recognize its growing importance in the workplace.

Senior Data Engineer

Brookfield, WI · Remote

$100K - $136K/yr

The Senior Data Engineer will design and build tools and processes that help clients derive ... We embrace the responsible use of AI and recognize its growing importance in the workplace.

GCP Data Engineer - (Subcontract at an NRI) Through NRI Resource Management Services (RMS), we ... AI tools to develop data platforms and data analytics solutions. · Understands business problems ...

Senior Data Engineer

Marshfield, WI · On-site

$106K - $144K/yr

Use Python and AI-enabled tools where appropriate to improve automation, integration, analysis, and engineering productivity. * Apply secure data handling, governance, metadata, and development best ...

WI · On-site

$180 - $240/hr

## Head of AI and Data Platform Engineering - Specialty DistributionApplyremote type: Hybrid Workinglocations: Plano, TX, USA: Daytona Beach, FL, USAtime type: Full timeposted on: Posted Todayjob ...

Senior AI Engineer

Middleton, WI · On-site

$107K - $147K/yr

Collaborate with data engineering teams to ensure high-quality, governed, and accessible data for AI initiatives. * Develop AI-enabled analytics and predictive models supporting manufacturing, supply ...

Senior AI Engineer

Middleton, WI · On-site

$107K - $147K/yr

Collaborate with data engineering teams to ensure high-quality, governed, and accessible data for AI initiatives. * Develop AI-enabled analytics and predictive models supporting manufacturing, supply ...

Senior AI Engineer

Middleton, WI · On-site

$107K - $147K/yr

Collaborate with data engineering teams to ensure high-quality, governed, and accessible data for AI initiatives. * Develop AI-enabled analytics and predictive models supporting manufacturing, supply ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

WI · On-site

$140 - $200/hr

This role sits at the intersection of software engineering, machine learning, enterprise architecture, data platforms, and AI product development. We are not looking for someone who simply deploys ...

New

Senior Data Engineer - IGEN

Appleton, WI · On-site

$103K - $140K/yr

Operates with AI-assisted development capabilities as a standard part of the discipline, builds within the broader Microsoft and Azure ecosystem, and mentors Data Engineers as the function scales.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Showing results 21-40

Internship Ai Data Engineer information

What is the difference between Internship Ai Data Engineer vs Data Scientist?

AspectInternship Ai Data EngineerData Scientist
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fieldsOften holds a degree in Data Science, Statistics, or related fields; advanced certifications are common
Work EnvironmentInternship setting, often in tech companies or startups, focusing on data pipeline development and AI model deploymentFull-time role, working on data analysis, modeling, and insights generation in various industries
Employer & Industry UsageUsed by companies seeking entry-level AI/data engineering support, especially in tech and AI sectorsUsed across industries for data analysis, predictive modeling, and strategic decision-making

In summary, an Internship Ai Data Engineer is an entry-level position focused on building data pipelines and supporting AI projects, often held by students or recent graduates. A Data Scientist, on the other hand, is a more advanced role centered on analyzing data, creating models, and deriving insights, typically requiring more experience and expertise.

What are the most commonly searched types of Ai Data Engineer jobs in Wisconsin?

The most popular types of Ai Data Engineer jobs in Wisconsin are:

What are popular job titles related to Internship Ai Data Engineer jobs in Wisconsin?

For Internship Ai Data Engineer jobs in Wisconsin, the most frequently searched job titles are:

What cities in Wisconsin are hiring for Internship Ai Data Engineer jobs?

Cities in Wisconsin with the most Internship Ai Data Engineer job openings:

Infographic showing various Internship Ai Data Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Senior Data Engineer

SysLogic, Inc.

Brookfield, WI • On-site, Remote

$100K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Job description

The Senior Data Engineer will design and build tools and processes that help clients derive meaningful insights from their data. They will help clients understand their data needs and how to use data to reach business goals. They will also provide mentoring to data engineers. They will work closely and collaboratively with our Data Architect and Business Solution Advisor, to develop solutions being increase value and confidence in our clients' data environments.
Responsibilities:
  • Designs and implements secure data integration solutions for operations and analytics, leveraging best practices to design and implement high-performing ETL/ELT solutions
  • Performs root cause analysis on data sets and processes to answer specific business questions and identify opportunities for improvement
  • Builds and maintains KPI dashboards to disseminate information to measure/track results and drive business decisions
  • Integrate reports, audits, and processes from various business systems
  • Advocates for data quality and increases awareness of data stewardship and data governance concepts among data producers and consumers
  • Assist with defining and maintaining business rules, policies, and governance for data
  • Collaborates with Data Architect on project goals and approach
  • Assist peers and data engineers as needed, to keep the team as productive and efficient as possible
  • Work with QA and development peers to review and test code changes

Requirements
  • A minimum of eight years of progressive responsibility working as a Data Engineer or Data Integration Developer.
  • Advanced SQL skills with experience working with Microsoft Fabric Lakehouse, Fabric Warehouse, Azure SQL Database, Azure Synapse Analytics, and large-scale structured and semi-structured datasets
  • Knowledge to leverage Artificial Intelligence and Machine Learning capabilities within Microsoft Fabric, Azure Machine Learning, Azure AI Services, and Python-based data science solutions
  • Referenceable work history developing interactive dashboards and data visualizations using Power BI, Fabric Real-Time Intelligence, and Power BI Service
  • Demonstrated capabilities designing, implementing, and supporting cloud-native data platforms utilizing Microsoft Fabric, Microsoft Azure, OneLake, Azure Data Lake Storage Gen2, and Azure data services
  • Strong background working with data integration and orchestration tools including Microsoft Fabric Data Factory, Azure Data Factory, Fabric Pipelines, and related ETL/ELT technologies
  • Experience designing and implementing enterprise data models, dimensional models, data warehouses, Lakehouse architecture, and semantic models within Microsoft Fabric
  • Direct work history working within Agile, Scrum, DevOps, or DataOps development methodologies, including Azure DevOps for project management, CI/CD, and deployment automation
  • Experience with data governance, security, and compliance solutions including Microsoft Purview, Azure role-based access control (RBAC), and Fabric security models
  • Ability to collaborate with business stakeholders, data engineers, analysts, and solution architects to define data requirements and deliver scalable analytics solutions
  • Willingness to travel four to six times per year with no more than 24 days away from home in a calendar year.

This remote role is only open to individuals that reside in one of the following states at the time of application: Wisconsin, Illinois, Iowa, Michigan, Ohio, Indiana, North Carolina, Arkansas, Arizona, Florida or South Dakota.
Candidates will be required to travel to our corporate location for new hire orientation and onboarding.
Statement on AI Usage:
We embrace the responsible use of AI and recognize its growing importance in the workplace. Candidates may use AI tools to research our company, prepare for interviews, and refine application materials, provided the information accurately reflects their own experience, skills, and accomplishments.
During interviews and assessments, however, our goal is to get to know you. We want to understand how you think, communicate, solve problems, and apply your experience in real-world situations. Unless specifically stated otherwise, candidates should not use AI tools to generate responses or provide real-time assistance during interviews or evaluations.
To help ensure a fair, secure, and authentic hiring process, candidates may be asked to provide a verified LinkedIn profile, participate in live video and/or onsite interviews, and complete identity, employment, education, and background verification as permitted by law. We reserve the right to verify that the individual participating in the interview process is the same individual represented in the application and under consideration for employment.
We value integrity, transparency, and authenticity, and we are committed to creating a hiring experience that reflects those principles for every candidate.
Benefits
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Long Term Disability
  • Training & Development
  • Work Life Balance
  • No company politics.
  • Strong employee focused culture.