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

Sr Data Engineer

Menomonee Falls, WI · On-site

$114K - $138K/yr

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.

Sr Data Engineer

Menomonee Falls, WI · On-site

$114K - $138K/yr

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.

Data Engineer

Milwaukee, WI · On-site

$90 - $120/hr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines, ensuring data quality, and building data models that support analytics and business intelligence ...

New

Data Engineer

Milwaukee, WI · On-site +1

$112K - $135K/yr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines, ensuring data quality, and building data models that support analytics and business intelligence ...

Data Engineer

West Bend, WI · On-site

$115K - $139K/yr

Our Data Engineers help Delta Defense turn complex data into clear, actionable insights that support smarter business decisions. This hands-on role builds reliable data solutions, supports our ...

Data Engineer

West Bend, WI · Hybrid

$115K - $139K/yr

Our Data Engineers help Delta Defense turn complex data into clear, actionable insights that support smarter business decisions. This hands-on role builds reliable data solutions, supports our ...

Data Engineer

West Bend, WI · Hybrid

$111K - $134K/yr

DATAE002046 Description Our Data Engineers help Delta Defense turn complex data into clear, actionable insights that support smarter business decisions. This hands-on role builds reliable data ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Syntricate Technologies is a company seeking a Data Engineer to join their team. The role involves designing, developing, and implementing data warehousing applications, as well as managing cloud ...

Staff Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

Role OverviewThe Staff Data Engineer is a senior technical leader responsible for designing, scaling, and governing the organization's data platform and pipelines. This role sets data engineering ...

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

OverviewThe Junior Data Engineer supports the design, development, and maintenance of data pipelines and data infrastructure. This role focuses on building reliable, scalable data solutions that ...

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

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 ...

Lead Data Engineer

Grafton, WI · On-site

$112K - $135K/yr

Overview Summary/Objective The Lead Data Engineer owns the Navanta data backbone - public Call Report data in the early build, and secure ingestion from bank cores into lakehouses as each client's on ...

Lead Data Engineer

Grafton, WI · On-site

$112K - $135K/yr

Overview Summary/Objective The Lead Data Engineer owns the Navanta data backbone - public Call Report data in the early build, and secure ingestion from bank cores into lakehouses as each client's on ...

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Showing results 1-20

Data Engineer Data information

See Milwaukee, WI salary details

$45.3K

$162.6K

$239.9K

How much do data engineer data jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data engineer data in Milwaukee, WI is $162,583.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,500.00 and $167,500.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer Data vs Data Analyst?

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

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

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

Sr Data Engineer

Milwaukee Tool

Menomonee Falls, WI • On-site

$114K - $138K/yr

Full-time

Posted 28 days ago


Job description

Job Description:
Come be DISRUPTIVE with 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.