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New Grad Data Engineer Jobs in Milwaukee, WI (NOW HIRING)

Milwaukee Tool

Sr Data Engineer

Menomonee Falls, WI · On-site

$114K - $138K/yr

... new solutions on our engineering team. As a Sr. Data Engineer, you will design, build, and support ... scalable data solutions that enable faster, more reliable decision-making across engineering, test ...

Deloitte

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

As an experienced 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 with ...

Pwc

Data Engineer - Senior Manager

Milwaukee, WI · On-site

$124K - $280K/yr

... new data technologies and tools - Leading data strategy engagements providing thought leadership - Developing leading practices for Data Engineering, Data Science, and Data Governance - Architecting ...

Deloitte

Data Engineer II

Milwaukee, WI · On-site

$112K - $135K/yr

As an experienced 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 with ...

Navanta, LLC

Lead Data Engineer

Grafton, WI · On-site

$112K - $135K/yr

... new bank's data environment, from kickoff to queryable lakehouse PII classification coverage at landing and zero unauthorized data-access incidents Semantic layer adoption - percentage of assistant ...

Navanta, LLC

Lead Data Engineer

Grafton, WI

$112K - $135K/yr

... new bank's data environment, from kickoff to queryable lakehouse PII classification coverage at landing and zero unauthorized data-access incidents Semantic layer adoption - percentage of assistant ...

ULINE

Senior Data Engineer

Kenosha, WI · On-site

$96K - $148K/yr

Senior Data Engineer Pay from $96,000 to $148,000 per year 2200 S. Lakeside Drive, Waukegan, IL ... All new hires must complete a pre-employment hair follicle drug screening. All positions are on ...

American Transmission Co.

Sr. Data Engineer

Pewaukee, WI · On-site

$125 - $150/hr

We're looking for a Data Engineer who is passionate about building scalable data solutions that ... Evaluate new technologies, tools, and development approaches. * Help modernize data platforms and ...

New

American Transmission Company

Sr. Data Engineer

Pewaukee, WI · On-site +1

$112K - $134K/yr

Advance Innovation Evaluate new technologies, tools, and development approaches. Help modernize ... Data Science, Software Engineering, or a related discipline. Five or more years of experience ...

Mgic Investment

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 ...

Bakertilly

Associate Data Engineer

Milwaukee, WI

$85K - $162K/yr

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 ...

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All JobsNew Grad Data Engineer JobsNew Grad Data Engineer Jobs in Milwaukee, WI

New Grad Data Engineer information

See Milwaukee, WI salary details

$43.8K

$127.8K

$174.9K

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 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 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 job categories do people searching New Grad Data Engineer jobs in Milwaukee, WI look for?

The top searched job categories for New Grad Data Engineer jobs in Milwaukee, WI are:

What cities near Milwaukee, WI are hiring for New Grad Data Engineer jobs?

Cities near Milwaukee, WI with the most New Grad Data Engineer job openings:

New Grad Data Engineer jobs near you
Infographic showing various New Grad Data Engineer job openings in Milwaukee, WI as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $127,802 per year, or $61.4 per hour.

Sr Data Engineer

Milwaukee Tool

Menomonee Falls, WI • On-site

$114K - $138K/yr

Full-time

Re-posted 2 days ago

Job description

Job Description:

Come beDISRUPTIVEwith us!At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success -- so we give you unlimited access to everything you need to create innovative new solutions on our engineering team. As a Sr. Data Engineer, you will design, build, and support scalable data solutions that enable faster, more reliable decision-making across engineering, test lab, and product development operations. You will partner with cross-functional teams to transform raw data into trusted, governed, analytics-ready data products through modern data pipelines, cloud platforms, data modeling, and data quality practices.

You must be permanently eligible to work in the U.S. without sponsorship for this position.

Duties and Responsibilities

  • aDesign, develop, and maintain scalable data pipelines, data models, and data integration solutions that support engineering and test operations.

  • Build reliable ETL/ELT processes to ingest, transform, validate, and deliver data from multiple source systems into analytics-ready environments.

  • Partner with engineering, lab operations, IT, analytics, and business stakeholders to understand data needs and translate them into technical solutions.

  • Establish and maintain data quality checks, validation rules, and monitoring processes to ensure trusted and accurate data.

  • Develop and optimize data warehouses, data lakes, and cloud-based data platforms for performance, reliability, and scalability.

  • Create reusable data assets, curated datasets, and documentation that enable self-service reporting, analytics, and operational visibility.

  • Collaborate with software developers and IT teams on secure data architecture, system integrations, source control, deployment, and development best practices.

  • Translate business strategy and operational needs into technical data solutions that improve efficiency, quality, and speed of decision-making.

  • Monitor pipeline performance, troubleshoot production issues, and proactively improve data reliability, observability, and maintainability.

  • Mentor team members on data engineering standards, coding practices, documentation, and data governance principles.

  • Adhere to timelines and excel in a fast-paced, high-energy environment while balancing technical excellence with practical business impact.

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, Data Engineering, Information Systems, or a related technical field; equivalent experience may be considered.

  • 5+ years of experience in data engineering, software engineering, analytics engineering, or related technical roles.

  • Strong proficiency in SQL and at least one programming language such as Python, C#, Java, or Scala.

  • Experience designing and supporting ETL/ELT pipelines, data warehouses, data lakes, relational databases, and cloud-based data platforms.

  • Experience working in cloud environments such as Azure or AWS, including data storage, compute, orchestration, and security concepts.

  • Working knowledge of data modeling, database design, data integration patterns, APIs, and scalable system architecture.

  • Familiarity with modern data engineering tools and practices such as Spark, Databricks, Airflow,dbt,Fabric, or automated testing.

  • Strong understanding of data quality, data governance, data security, documentation, and operational monitoring practices.

  • Ability to understand complex business processes, create process maps, and translate operational workflows into data solutions.

  • Strong analytical, problem-solving, and communication skills with the ability to influence technical decisions across cross-functional teams.

Milwaukee Tool is an equal opportunity employer.

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