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Data Engineer Jobs in Appleton, WI (NOW HIRING)

M2 Logistics

Sr Data Architect

Green Bay, WI · On-site

$65.50 - $87.50/hr

Strong experience in data architecture and/or data engineering, including scalable ETL/ELT patterns * Expert analytical skills, with the ability to build, explain, and convey business insight to ...

Oshkosh Corporation

Reliability Engineer

Oshkosh, WI · On-site

$64K - $103K/yr

This role focuses on applying data analysis to support Reliability and Maintainability (R&M ... Collaborate with engineering and maintenance development teams to translate data insights into ...

Oshkosh Corporation

Reliability Engineer

Oshkosh, WI · On-site

$64K - $103K/yr

This role focuses on applying data analysis to support Reliability and Maintainability (R&M ... Collaborate with engineering and maintenance development teams to translate data insights into ...

TIDI Products

ERP Systems Engineer

Neenah, WI · On-site +1

This role ensures system stability, performance, data integrity, and operational alignment across manufacturing, supply chain, finance, and customer service functions. The ERP Systems Engineer works ...

Jedson Engineering Inc

Project Engineer

Appleton, WI · On-site

The Project Engineer will work cohesively with internal and external business partners, applying engineering principles and research data to clarify and develop engineering specifications, designs ...

Vertex Elite LLC

AWS Architect: Neenah, WI

Neenah, WI · On-site

$65.50 - $85.75/hr

Collaborate with data engineers, analysts, and business stakeholders to translate business needs into scalable data solutions. Establish data governance, security, and compliance frameworks following ...

AWI Engineering

Controls Engineer

Appleton, WI · On-site

$81K - $105K/yr

Communicate proficiently with clients and engineering team on critical project data, schedules, scope, cost, etc. * Assist with field audits, commissioning and system installation as required

AWI Engineering

Controls Engineer

Appleton, WI · On-site

$81K - $105K/yr

Communicate proficiently with clients and engineering team on critical project data, schedules, scope, cost, etc. * Assist with field audits, commissioning and system installation as required

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All JobsData Engineer JobsData Engineer Jobs in Appleton, WI

Data Engineer information

See Appleton, WI salary details

$43.4K

$126.5K

$173.1K

How much do data engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for data engineer in Appleton, WI is $126,509.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,700.00 and $134,100.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
More about Data Engineer jobs
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What cities near Appleton, WI are hiring for Data Engineer jobs? Cities near Appleton, WI with the most Data Engineer job openings:
Data Engineer jobs near you
Sr Data Architect

Sr Data Architect

M2 Logistics

Green Bay, WI • On-site

$65.50 - $87.50/hr

Full-time

Posted 13 days ago

Job description

Description
As a Senior Data Architect, you will define and enable a scalable, business-ready data foundation for the organization. This role sets the vision for how data is structured, accessed, governed, and applied to business decision-making, particularly within transportation and trucking logistics. You will deliver a concise set of high-confidence, executive-ready reports while reducing reliance on high-maintenance operational reporting. You will also lead and develop the Data Analyst team and build scalable, well-modeled datasets that can support advanced analytics, machine learning, and emerging AI/agentic workflows.
Key Responsibilities:
  • Define and maintain the enterprise data architecture that supports scalable, structured, and reliable analytics
  • Establish data standards, frameworks, and governance to ensure consistency, quality, and usability across the organization
  • Set the vision for how data is used to support business strategy and decision-making, partnering with leaders across the business
  • Lead, coach, and oversee the Data Analyst team; set priorities, remove blockers, and ensure timely delivery of business insights
  • Deliver executive-level reports and dashboards that are accurate, trusted, and require little to no ongoing maintenance
  • Rationalize and reduce operational reporting to a small, standardized core set, improving consistency and reducing support burden
  • Gradually shift legacy, high-maintenance reporting into a scalable data model and governed semantic layer
  • Serve as the bridge between technical data teams and business stakeholders, translating requirements into durable data products
  • Design datasets and data access patterns that can be leveraged by machine learning solutions and AI/agentic workflows at scale

Who Is M2?M2 Logistics is a privately held logistics provider founded in 2001. M2 was formed and prides itself on meeting the needs of our customers through a relentless discipline of our core values. M2 has remained resolute in being large enough to leverage a complete suite of logistics services yet structuring the execution teams to remain small enough to offer a personal touch.
Why Should You Apply?
  • Fun and energetic work environment.
  • Work/Life balance is a core value of the M2 Logistics organization.
  • Lack of bureaucracy - more empowerment.
  • Servant leadership - no barriers.
  • Caring/compassionate owner - trickle down effect.
  • An awesome team that you get to work with!

Requirements
  • Bachelor's degree in a data-focused discipline or equivalent experience
  • 5+ years relevant experience (transportation/logistics experience preferred
  • Expert SQL and relational data modeling skills; experience with BI tools (e.g., Power BI)
  • Strong experience in data architecture and/or data engineering, including scalable ETL/ELT patterns
  • Expert analytical skills, with the ability to build, explain, and convey business insight to executives and front-line users
  • AI background and familiarity with agentic workflows (or strong interest in enabling them through governed, scalable datasets)

Apply