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Entry Level Ai Data Engineer Jobs in Milwaukee, WI

Pwc

Data Engineer - Senior Associate

Milwaukee, WI · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Bakertilly

Associate Data Engineer

Milwaukee, WI · On-site

$85K - $162K/yr

... and AI use cases. You'll collaborate with solution architects, analysts, and client stakeholders ... Data Engineering: Develop scalable, welldocumented ETL/ELT pipelines using TSQL, Python, Azure Data ...

Direct Supply, Inc.

AI Engineer

Milwaukee, WI · On-site

Degree in Computer Science, Engineering, Data Science, or a related field * Experience operating AI systems in production, with attention to evaluation, cost, and performance tradeoffs * Background ...

Direct Supply, Inc.

AI Engineer

Milwaukee, WI · On-site

$90 - $120/hr

Degree in Computer Science, Engineering, Data Science, or a related field * Experience operating AI systems in production, with attention to evaluation, cost, and performance tradeoffs * Background ...

Hammes Company

Business Analyst

Milwaukee, WI · On-site

... data engineering practices, or machine learning concepts. * Exposure to common data, reporting, scripting, automation, or AI-enabled tools, such as Power BI, Tableau, SQL, Python, Salesforce, Power ...

New

Directsupply

AI Engineer

Milwaukee, WI

Degree in Computer Science, Engineering, Data Science, or a related field * Experience operating AI systems in production, with attention to evaluation, cost, and performance tradeoffs * Background ...

Salute Inc.

Sr. Full Stack Builder

Milwaukee, WI · On-site

$150K - $165K/yr

You'll work on a small, high-caliber team (2-3 engineers and with various Product Specialists) building AI, data, and analytics products end-to-end - from data ingestion and modeling through to the ...

New

DataCamp

Principal AI Engineer - AI Tutor

Belgium, WI · On-site +1

About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for ... Strong software engineering fundamentals, architectural thinking, and fluency in Python ...

DataCamp

Principal AI Engineer - AI Tutor

Belgium, WI · On-site +1

About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for ... Strong software engineering fundamentals, architectural thinking, and fluency in Python ...

DataCamp

Principal AI Engineer - AI Tutor

Belgium, WI · On-site +1

About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for ... Strong software engineering fundamentals, architectural thinking, and fluency in Python ...

DataCamp

Principal AI Engineer - AI Tutor

Belgium, WI · On-site +1

About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for ... Strong software engineering fundamentals, architectural thinking, and fluency in Python ...

DataCamp

Principal AI Engineer - AI Creator

Belgium, WI · On-site

$130K - $175K/yr

About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for ... Strong software engineering fundamentals, architectural thinking, and fluency in Python ...

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All JobsAi Data Engineer JobsEntry Level Ai Data Engineer JobsEntry Level Ai Data Engineer Jobs in Milwaukee, WI

Entry Level Ai Data Engineer information

See Milwaukee, WI salary details

$43.8K

$127.8K

$174.9K

How much do entry level ai data engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for entry level ai data engineer in Milwaukee, WI is $127,802.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,800.00 and $135,500.00 per year, depending on experience, location, and employer.

What is an entry level AI data engineer?

An Entry Level AI Data Engineer is a professional who helps build and maintain data pipelines and infrastructure to support artificial intelligence and machine learning applications. They typically work with large volumes of data, ensuring it is properly collected, cleaned, and organized for analysis. Their responsibilities may include working with databases, data processing tools, and cloud platforms, as well as collaborating with data scientists and software engineers to enable AI-driven solutions. This role is ideal for recent graduates or those new to the field, providing foundational experience in data engineering within the context of AI.

What are some common challenges faced by entry level AI data engineers in their first year on the job?

Entry level AI data engineers often encounter challenges such as learning to manage large datasets efficiently, understanding complex data pipelines, and adapting to rapidly evolving AI tools and frameworks. Collaborating with data scientists and senior engineers can be initially overwhelming, but it's a great opportunity to learn industry best practices. Balancing multiple tasks like data cleaning, preprocessing, and supporting model deployment while honing programming skills is typical. Proactively seeking feedback and asking questions is key to overcoming these hurdles and growing in the role.

What are the key skills and qualifications needed to thrive as an entry level AI data engineer, and why are they important?

To thrive as an Entry Level AI Data Engineer, you need proficiency in programming languages like Python or Java, a foundational understanding of data structures and algorithms, and a relevant degree in computer science or a related field. Familiarity with data processing frameworks (e.g., Hadoop, Spark), cloud platforms (e.g., AWS, Azure), and basic knowledge of machine learning libraries are typically expected. Strong analytical thinking, attention to detail, and effective teamwork set outstanding candidates apart. These skills and qualities are crucial for building reliable data pipelines, supporting AI models, and ensuring efficient collaboration within technical teams.

What is the difference between Entry Level Ai Data Engineer vs Data Analyst?

AspectEntry Level Ai Data EngineerData Analyst
Required SkillsBasic programming, data modeling, understanding of AI/ML conceptsData visualization, statistical analysis, SQL proficiency
CertificationsPython, SQL, entry-level AI/ML coursesExcel, Tableau, SQL certifications
Work EnvironmentTech companies, AI startups, data-driven teamsBusiness, marketing, finance sectors
Job FocusBuilding AI models, data pipelines, integrating AI solutionsInterpreting data, creating reports, supporting decision-making

While both roles involve working with data, Entry Level Ai Data Engineers focus on developing AI models and data infrastructure, whereas Data Analysts primarily analyze data to generate insights. The former requires some knowledge of AI/ML, while the latter emphasizes statistical and visualization skills.

How to get into entry level AI data engineering?

To enter an entry-level AI data engineering role, develop skills in programming languages like Python and SQL, understand data pipelines and databases, and gain experience with cloud platforms such as AWS or Azure. Completing relevant certifications or courses in data engineering and machine learning can also improve job prospects.

What are the most commonly searched types of Ai Data Engineer jobs in Milwaukee, WI?

The most popular types of Ai Data Engineer jobs in Milwaukee, WI are:

What are popular job titles related to Entry Level Ai Data Engineer jobs in Milwaukee, WI?

For Entry Level Ai Data Engineer jobs in Milwaukee, WI, the most frequently searched job titles are:

What job categories do people searching Entry Level Ai Data Engineer jobs in Milwaukee, WI look for?

The top searched job categories for Entry Level Ai Data Engineer jobs in Milwaukee, WI are:

Entry Level Ai Data Engineer jobs near you
Infographic showing various Entry Level Ai Data Engineer job openings in Milwaukee, WI as of July 2026, with employment types broken down into 67% Full Time, 24% Part Time, and 9% Contract. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution, with an average salary of $127,802 per year, or $61.4 per hour.

Curriculum Manager - Data Science and AI

DataCamp

Belgium, WI • On-site, Remote

Full-time

Medical, Dental, Vision

Re-posted 11 days ago

Job description

About DataCamp

Data and AI skills are critical for thriving today, and DataCamp is the platform that empowers everyone to learn them. We help individuals and Fortune 1000 companies close the data and AI skills gap through world-class learning, hands-on training, and a global community of expert instructors.

In this role, you'll collaborate with instructors and teams across curriculum, engineering, product, and marketing to expand and improve our Data Science and Data Engineering curriculum-helping millions worldwide upskill in data and AI.

About the role

This is an individual contributor role. You will collaborate with subject matter experts and leverage in-house-built cutting-edge AI tooling to scale high-quality course creation. Here's what your day-to-day will look like: 

  • Manage the entire content development lifecycle and deadlines.
  • Source and recruit top-tier subject-matter experts as instructors. 
  • Collaborate with instructors to create engaging content. 
  • Consistently leverage a variety of off-the-shelf and in-house AI systems to drive high-quality content production. 
  • Design, review, and create content on data science and data engineering. You will review content from a learner perspective, ensuring it is technically accurate and pedagogically effective.
  • Continuously assess course performance using learner feedback and engagement data to drive improvements.
  • Identify and prioritize existing curriculum gaps or new topics in data science and data engineering.

Qualifications:

  • A solid technical background in Python and SQL. A technical background in data engineering is a plus. 
  • Strong expertise in instructional design, with proven experience designing, structuring, and teaching technical courses, and creating interactive, hands-on learning experiences.
  • Graduate degree (Master's or PhD) in Computer Science, AI, Data Science, or a related STEM field, or equivalent industry experience with hands-on expertise in data science, machine learning, or software development.
  • Strong experience with agentic AI systems such as Claude Code, Cursor, Replit. You can demonstrate you've increased your output 10x with AI.

Bonus if you have the following

  • A deep understanding of the DataCamp course format-you have an intuitive understanding of what makes a great DataCamp course.
  • An existing network of potential subject matter experts who can become DataCamp instructors.
  • An extensive track record of building sophisticated AI systems and workflows.

Why Datacamp? 

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you'll love being on our team:

  • Exciting Challenges - Tackle some of the most important educational challenges in Data & AI.
  • Work with the Best Instructors - Partner with top-tier instructors from leading organizations like Microsoft, Hugging Face, AWS, and more.
  • Competitive Compensation - We offer a competitive salary with attractive benefits.
  • Work Flexibility - Benefit from flexible working hours and a remote-friendly culture.
  • Professional Growth - Access to a yearly learning & development budget.
  • Global Culture - Join a team that values international collaboration.
  • Annual Retreats - Participate in international company retreats, fostering a global team spirit.
  • Tools & Setup - Receive an annual IT equipment budget to refresh your workspace.

Our competitive compensation package offers additional benefits. On top of your salary you will also receive extra legal benefits such as best-in-class medical insurance including dental and vision. Depending on your location additional benefits might be available to you.

Apply