ZipRecruiter

Log In

1

Data Engineer Jobs in Appleton, WI (NOW HIRING)

Valid8 Financial, Inc.

Data Engineer

Appleton, WI · On-site

$125 - $150/hr

Position Summary The Data Engineer will be responsible for designing, building, and maintaining scalable, secure data pipelines that drive analytics and support operational data products. The ideal ...

New

Cesco

Data Engineer

Appleton, WI · On-site

$111K - $134K/yr

As a Data Engineer at Crescent Electric Supply, you will be responsible for the architecture, development, and management of Crescent's data pipelines, enabling reliable analytics and downstream ...

Core BTS

GCP Data Engineer

Appleton, WI · On-site

$75 - $80/hr

GCP Data Engineer - (Subcontract at an NRI) Through NRI Resource Management Services (RMS), we offer custom talent solutions to help our clients meet their evolving technology and business needs. We ...

US Venture, Inc.

Senior Data Engineer - IGEN

Appleton, WI · On-site

$103K - $140K/yr

POSITION SUMMARY The Senior Data Engineer is the technical leader for IGEN's Data Foundation - architecting, building, and operating the Snowflake data platform, Azure-native ingestion infrastructure ...

Robert Half

Data Architect (GCP)

Appleton, WI · On-site

$140K - $170K/yr

The Data Architect will work closely with a team of Data Engineers, Data Analysts, and Data Scientists to establish the technical vision, architecture, and standards for the organization's modern ...

Princeton IT Services

AWS Data Architect

Neenah, WI · On-site

$64.50 - $82.75/hr

Collaborate with data engineers, analysts, and business stakeholders to translate requirements into scalable data solutions * Establish and enforce data governance, security, and compliance ...

Princeton IT Services

AWS Data Architect

Neenah, WI · On-site

$64.50 - $82.75/hr

Collaborate with data engineers, analysts, and business teams to translate business requirements into scalable technical solutions. * Establish and maintain data governance, security, and compliance ...

Oshkosh Corporation

Reliability Data Analyst

Oshkosh, WI · On-site

$64K - $103K/yr

Collaborate with engineering and maintenance development teams to translate data insights into actionable plans. * Recommend and support Condition Based Maintenance (CBM) strategies using data ...

Network Health

Data Warehouse Engineer I

Menasha, WI · On-site +1

The Data Warehouse Engineer I is part of a team dedicated to supporting Network Health's Enterprise Data Warehouse. This individual will perform development, analysis, testing, debugging ...

Amcor

Sr. Data Scientist - Optimization

Neenah, WI

Partner closely with data engineers to ensure robust data pipelines and high-quality, connected data sources across systems Cross-Functional Collaboration * Act as a strategic partner to R&D, ...

Beacon Technologies

Data Warehouse Developer

Menasha, WI · On-site

$80 - $100/hr

Beacon Technologies is seeking a Data Warehouse Developer for our client partner. This is a hybrid position located in Menasha, Wisconsin. Job Responsibilities: * Perform end to end delivery of data ...

next page

Showing results 1-20

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 Sep 7, 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 a data engineer?

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.

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.

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.

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 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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Appleton, WI?

The most popular types of Data Engineer jobs in Appleton, WI are:

What are popular job titles related to Data Engineer jobs in Appleton, WI?

For Data Engineer jobs in Appleton, WI, the most frequently searched job titles are:

What job categories do people searching Data Engineer jobs in Appleton, WI look for?

The top searched job categories for Data Engineer jobs in Appleton, WI are:

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
Infographic showing various Data Engineer job openings in Appleton, WI as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $126,509 per year, or $60.8 per hour.

Data Engineer

Valid8 Financial, Inc.

Appleton, WI • On-site

$125 - $150/hr

Other

Medical, Dental, Life, Retirement, PTO

Posted yesterday

New

Job description

Amplifi is the go-to data consultancy for enterprise organizations that want their success to be driven by data. We empower our clients to innovate, grow and succeed by establishing and delivering strategies across all elements of the data value chain. From the governance and management of data through to analytics and automation, our integrated approach to modern data ecosystems delivers measurable results through a combination of expert consultancy and best-in-breed technology. Our company and team members are proud to empower our clients’ businesses by providing exceptional solutions and value, as we truly believe their success is our success. We thrive on delivering excellent solutions and overcoming technical and business challenges. As such, we’re looking for like-minded individuals to learn, grow, and mentor others as a part of the Amplifi family .

Position Summary
The Data Engineer will be responsible for designing, building, and maintaining scalable, secure data pipelines that drive analytics and support operational data products. The ideal candidate brings a strong foundation in SQL, Python, and modern data warehousing with a deep understanding of Snowflake, Databricks, or Microsoft Fabric, and a solid understanding of cloud-based architectures.

What You Will Get To Do

  • Design, develop, and optimize robust ETL/ELT pipelines to ingest, transform, and expose data across multiple systems.
  • Build and maintain data models and warehouse layers, enabling high-performance analytics and reporting.
  • Collaborate with analytics, product, and engineering teams to understand data needs and deliver well-structured data solutions.
  • Write clean, efficient, and testable code in SQL and Python to support automation, data quality, and transformation logic.
  • Support deployment and orchestration workflows, using Azure Data Factory, dbt, or similar tools.
  • Work across multi-cloud environments (Azure preferred; AWS and GCP optional) to integrate data sources and manage cloud-native components.
  • Contribute to CI/CD practices and data pipeline observability (monitoring, logging, alerting).
  • Ensure data governance, security, and compliance in all engineering activities.
  • Support ad hoc data science and machine learning workflows within Dataiku.

What You Bring to the Team

  • 4+ years of experience in a data engineering or related software engineering role.
  • Proficiency in SQL and Python for data manipulation, transformation, and scripting.
  • Strong experience working with Snowflake and MSSQL Server.
  • Practical knowledge of working with cloud data platforms, especially Microsoft Azure.
  • Experience with modern data modeling and warehouse optimization techniques.
  • Experience with Databricks, Azure Data Factory, or DBT preferred.
  • Exposure to Microsoft Fabric components like OneLake, Pipelines, or Direct Lake.
  • Familiarity with cloud services across AWS, GCP, or hybrid cloud environments.
  • Understanding of or curiosity about Dataiku for data science and advanced analytics collaboration.
  • Ability to work independently and with a team in a hybrid/remote environment.

Location

Wisconsin

Travel

Ability to travel up to 10% of the time.

Benefits & Compensation

Amplifi offers excellent compensation and benefits including, but not limited to, health, dental, 401(k) program, employee assistance program, short and long-term disability, life insurance, accidental death and dismemberment (AD&D), PTO program, flex work schedules and paid holidays.

Equal Opportunity Employer

Amplifi is proud to be an equal opportunity employer. We do not discriminate against applicants based on race, religion, disability, medical condition, national origin, gender, sexual orientation, marital status, gender identity, pregnancy, childbirth, age, veteran status or other legally protected characteristics.

#J-18808-Ljbffr

Apply