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New Grad Data Engineer Jobs in Wisconsin (NOW HIRING)

Senior Data Engineer

Brookfield, WI · Remote

$100K - $136K/yr

The Senior Data Engineer will design and build tools and processes that help clients derive ... Candidates will be required to travel to our corporate location for new hire orientation and ...

We are seeking a highly skilled Adobe Products Data Engineer with deep expertise in Adobe ... Design and implement new XDM schemas for onboarding additional brands into AEP * Create and ...

WI · On-site

$125 - $150/hr

Data Engineer in the IT Front Data Team. Goal of the mission: Support the projects: Transparency ... new onboardings. Responsibilities Building and operating the data foundation that analytics ...

Senior Data Engineer III

Foxboro, WI · On-site

$130K - $160K/yr

Stay up to date on the latest data engineering trends and technologies, advocate for new technologies and champion their adoption to continuously improve our data infrastructure. Qualifications:

Senior Data Engineer

Milwaukee, WI · Remote

$104K - $141K/yr

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 ...

Senior Staff Data Engineer

Madison, WI · On-site

$106K - $145K/yr

Senior Staff Data Engineer Our Enterprise Data & Analytics (EDA) is looking for an experienced ... While this range reflects the minimum and maximum value for new hire salaries for the position ...

Senior Staff Data Engineer

Madison, WI · On-site

$106K - $145K/yr

Senior Staff Data Engineer Our Enterprise Data & Analytics (EDA) is looking for an experienced ... While this range reflects the minimum and maximum value for new hire salaries for the position ...

WI · On-site

$125 - $150/hr

Data Engineer in the IT Front Data Team Goal of the mission: Support the projects: Transparency ... Maintain existing jobs, fix failures, manage changes/releases, and support new onboardings.

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 ...

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 Sep 7, 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 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.

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 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.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, data pipeline development, and tools like SQL, Python, and Apache Spark enhance job prospects in this field.

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 in programming, databases, and data processing tools like SQL, Python, or Spark. Entry-level roles often focus on potential and foundational knowledge, and internships or certifications can strengthen your application.

What are popular job titles related to New Grad Data Engineer jobs in Wisconsin?

For New Grad Data Engineer jobs in Wisconsin, the most frequently searched job titles are:

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, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $130,930 per year, or $62.9 per hour.

Senior Data Engineer

SysLogic, Inc.

Brookfield, WI • Remote

$100K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Key responsibilities

  • Designs and implements secure data integration solutions for operations and analytics.

  • Performs root cause analysis on data sets and processes to answer business questions and identify improvements.

  • Builds and maintains KPI dashboards to measure results and support business decisions.


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.