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New Grad Data Engineer Jobs in Wisconsin (NOW HIRING)

Senior Data Engineer

Milwaukee, WI · Hybrid

$104K - $141K/yr

As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity ...

Data Engineer (Hybrid)

Cottage Grove, WI · On-site

$108K - $130K/yr

As a Data Engineer, you'll play a critical role in shaping and executing Summit's data strategy ... Excellent problem-solving skills and the ability to identify innovative solutions using new ...

Senior Data Engineer

Milwaukee, WI · On-site

$104K - $141K/yr

  • Retirement

  • PTO

We're an organization with a national footprint that's large enough to never lack for a new ... We are looking for a Senior Data Engineer who is passionate about building trusted, scalable data ...

Data Engineer (Hybrid)

Cottage Grove, WI · On-site

$108K - $130K/yr

As a Data Engineer, you'll play a critical role in shaping and executing Summit's data strategy ... Excellent problem-solving skills and the ability to identify innovative solutions using new ...

Senior Data Engineer

Milwaukee, WI · Remote

$104K - $141K/yr

  • Retirement

  • PTO

We're an organization with a national footprint that's large enough to never lack for a new ... Define and evolve data integration frameworks, engineering standards, reusable patterns, and ...

S. and in many of the world's leading financial centers - New York, London, San Francisco, Los ... As a Senior Consultant - Associate Data Engineer you will design, build, and optimize modern data ...

S. and in many of the world's leading financial centers - New York, London, San Francisco, Los ... As a Senior Consultant - Associate Data Engineer you will design, build, and optimize modern data ...

Data Engineer - Senior Associate

Milwaukee, WI · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure ... By using a broad range of tools, methodologies, and techniques, you will generate new ideas and ...

Showing results 21-40

New Grad Data Engineer information

See Wisconsin salary details

$44.9K

$130.9K

$179.2K

How much do new grad data engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for new grad data engineer in Wisconsin is $130,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,600.00 and $138,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a new grad data engineer?

To thrive as a New Grad Data Engineer, you need a strong grasp of programming languages like Python or SQL, a background in computer science or a related field, and an understanding of data modeling and database concepts. Familiarity with data engineering tools such as ETL pipelines, cloud platforms like AWS or Azure, and certifications in these areas can be beneficial. Strong problem-solving skills, effective communication, and a willingness to learn are valuable soft skills for this position. These abilities ensure you can effectively handle complex data tasks, collaborate with technical teams, and adapt to evolving technologies in a fast-paced environment.

What does a new grad data engineer do?

As a New Grad Data Engineer, your day often involves writing and optimizing code for data pipelines, cleaning and transforming data, and troubleshooting any issues that arise. You’ll work closely with senior data engineers, data scientists, and sometimes business stakeholders to understand data requirements and deliver reliable solutions. Many entry-level roles emphasize learning and professional growth, so you can expect regular mentorship, code reviews, and opportunities to work on small components of larger projects. Over time, you’ll take on more complex responsibilities and contribute to the overall data infrastructure of your organization.

What is a new grad data engineer?

A New Grad Data Engineer is an entry-level role for recent graduates who focus on designing, building, and maintaining data pipelines and infrastructure. They work with databases, ETL (Extract, Transform, Load) processes, and big data technologies to ensure efficient data flow and storage. Typically, they collaborate with data scientists, analysts, and software engineers to support data-driven decision-making. This role requires knowledge of SQL, Python, and cloud platforms, along with problem-solving and analytical skills. It is an excellent opportunity to gain hands-on experience in data engineering while learning industry best practices.

Can I get a new grad data engineer job with no experience?

Securing a new grad data engineer position without experience is possible if you have relevant skills such as SQL, Python, or cloud platforms, and demonstrate a strong understanding of data pipelines and systems. Entry-level roles often focus on potential and foundational knowledge, and internships or projects can strengthen your application.

What job categories do people searching New Grad Data Engineer jobs in Wisconsin look for?

The top searched job categories for New Grad Data Engineer jobs in Wisconsin are:

What cities in Wisconsin are hiring for New Grad Data Engineer jobs?

Cities in Wisconsin with the most New Grad Data Engineer job openings:

Infographic showing various New Grad Data Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $130,930 per year, or $62.9 per hour.

Senior Data Engineer I

Heartland Business Systems LLC

Little Chute, WI • On-site

$105K - $142K/yr

Full-time

Re-posted 23 days ago


Heartland Business Systems rating

8.6

Company rating: 8.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

32nd of 224 rated it services


Job description

Job Type
Full-time
Description
Position Summary:
This position would require a candidate to possess a strong technical background in developing and delivering BI solutions along with a strong understanding of SQL Server environments. Business intelligence (BI) is a set of technologies and practices for transforming business information into actionable reports and visualizations. The Senior Data Engineer transforms data into a useful format for analysis and is focused on the design and architecture.
A Senior Data Engineer is the data professional who prepares the data infrastructure to be leveraged by the HBS BI Data Developers. The Senior Data Engineer will design, build, integrate data from various resources and manage big data. The Senior Data Engineer ensures the operations of the data pipeline follow a consistent process of Ingestion, Processing, Storage and Access. The work involves tuning databases for fast analysis and creating table schemas.
The Senior Data Engineer is responsible for making data easily accessible, ensuring the process works smoothly and is optimized. The Senior Data Engineer is a critical firm member of the Data Team, The Senior Data Engineer will run Extract, Transform and Load (ETL) on top of datasets and create data warehouses that can be used for reporting and analysis. The Senior Data Engineer ensures the operations of the data pipeline follow a consistent process of Ingestion, Processing, Storage and Access.
Roles and Responsibilities/ Essential Functions:
  • Meet with clients to understand their current business processes and needs to provide consulting services and direction on how to build or grow their current data strategy.
  • Work with HBS Sales Solutions consultants to identify and grow opportunities within HBS client environments.
  • Support and administer the underlining infrastructure and layout of a client data environment.
  • Develop and design the process for the customer data collection process.
  • Develop policies and procedures for the collection and analysis of data.
  • Review customer sources to ensure integrity of the data collection process.
  • Collaborate with the BI Data Developers to ensure the requirements are being met to build the right solution needed.
  • Estimate development effort required to deliver data customer needs and requests.
  • Use business analysis skillset to identify development needs for the purpose of streamlining and improving the operations of the organization for efficiency and profitability.
  • Ability to work independently or as a team on project-based solutions for clients.
  • Work with team mates to continue to grow and mature data services and delivery options for HBS clients.
  • Based on experience, one may mentor other engineers in developing scalable, secure, high-performance BI and Data solutions.
  • Meet annual billable hour goal, as defined by HBS. This number may change over time as the business evolves.

Requirements
Competencies:
  • Accuracy - Ability to produce high quality work deliverables leveraging industry best practices.
  • Analytical Skills - Strong abilities required to effectively interpret customer business needs and translate them into application and operational requirements, resolving complex technical and business problems.
  • Communication - strong written, verbal, and non-verbal communication skills, especially conveying complex information in an understandable manner.
  • Leadership - Ability to motivate and guide others to ensure performance is in accordance with clear expectations and goals.
  • Learning - Ability to quickly learn new technologies to deliver solutions.
  • Presentation Skills - Ability to effectively conduct formal and informal presentations in both small and large group settings within all levels of a company.
  • Project Management - Ability to demonstrate an understanding of process engineering, planning, organizing, staffing, directing, and controlling work tasks.
  • Time Management - Ability to effectively utilize available time for managing multiple tasks/projects simultaneously.

Required Experience:
  • 7+ years of experience in technology related role
  • Data Model Design (Physical or Conceptual or both)
  • Experience with needs analysis, software evaluation and selection, customization, and implementation
  • Data Warehousing systems and architecture experience in 'real world', practical, successful implementations
  • Understand multi-dimensional/relational database structures and schemas.
  • Strong knowledge of system design, development, and deployment
  • Microsoft BI Suite Experience (Excel, Microsoft SQL Server Integration Services (SSIS), Azure Data Factory (ADF), etc.)
  • Programming and Processing Experience (T-SQL, ETL, etc.)
  • Azure Experience in Azure SQL Database or Azure SQL Manage Instance
  • Strong knowledge of SQL utilizing MS SQL Server
  • Expertise in Professional Services or similar client facing roles

Preferred Experience:
  • Experience in multiple industry (Education, Healthcare, Retail, Manufacturing) verticals
  • PowerShell knowledge and understanding
  • Understanding of report writing and visualization
  • GitHub Copilot experience
  • Microsoft BI Suite Experience (Power BI or Fabric)
  • Microsoft certified: Data Analyst Associate
  • Microsoft certified: DP-200 - Implementing an Azure Data Solution
  • Microsoft certified: DP-201 - Designing an Azure Data Solution
  • Microsoft certified: DP-300 - Administering Relational Databases on Microsoft Azure
  • Other SQL platform knowledge (Oracle, MySQL, PostgreSQL, etc.)

Required Skills, Education and/ or Certifications:
  • Bachelor's degree in business or I.T. related discipline accepted or equivalent experience

Equal Opportunity Employer - Including Disabled and Veterans
#HBS

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