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Data Engineer Jobs in Appleton, WI (NOW HIRING)

HonorVet Technologies

Data Engineer

Appleton, WI · On-site

$109K - $130.90K/yr

Data Engineer Location: Appleton, WI * Must have: PySpark, Python Databricks We are building out an Enterprise Data Platform (EDP) entirely on the cloud, utilizing Databricks on AWS. The project ...

Kyyba

Data Engineer

Menasha, WI · On-site +1

$117.10K - $140.70K/yr

Job Title: (Data Engineer) About Kyyba: Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services ...

Fielmann USA

Data Engineer I

Green Bay, WI · On-site

$111.40K - $133.80K/yr

... engineers DATA INTEGRATION • Assist with integrations from various data sources into the data ecosystem • Assist in maintaining connections with internal and external APIs • Support data ...

Fielmann USA

Data Engineer II

Green Bay, WI · On-site

$111.40K - $133.80K/yr

... data engineering, information systems, or related field or equivalent experience; master's degree preferred • 5+ years of hands-on experience in data engineering or related roles • Professional ...

Software Technology Inc

Lead Data Engineer

Appleton, WI · On-site

$97.50K - $128.50K/yr

Lead Data Engineer The project will be moving from onprem to Azure cloud Looking for a data engineer to help lead the migrations to the Azure environment and cleaning up their onprem environments ...

Serco

Data Engineer-Washington DC

Freedom, WI · On-site

$82.40K - $109.90K/yr

You will serve as a Data Engineer/Scientist in support of VIRGINIA Class Program Office (PMS 450) initiatives stretching across various technical stacks (Flankspeed, AI/ML, and Digital Transformation)

TEKsystems

Data Engineering Manager

Menasha, WI · On-site

$58 - $72/hr

Description The Data Engineering Manager is a hands‑on, player‑coach leadership role responsible for guiding and developing a team of approximately six data engineers. This individual will serve ...

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 ...

Lorven Technologies

AWS Data Architect

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 ...

U.S. Venture, Inc.

Senior AI Engineer

Green Bay, WI · On-site

$101.60K - $139.60K/yr

S. economy every year, and most of it is still managed through fragmented data, manual processes ... You'll join a team of engineers, product managers, and domain experts building production agentic ...

Apex Systems

Data Architect II

Appleton, WI · On-site +1

$110K - $130K/yr

Collaborate with engineers, analysts, and business partners to align data models with requirements. * Manage metadata repositories and coordinate with business partners to maintain data catalog ...

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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 May 28, 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 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 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.

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 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.

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.

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:
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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
Infographic showing various Data Engineer job openings in Appleton, WI as of May 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $126,509 per year, or $60.8 per hour.
Data Engineer

Data Engineer

HonorVet Technologies

Appleton, WI • On-site

$109K - $130.90K/yr

Other

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

Job description

Job Title: Data Engineer
Location: Appleton, WI
Job Description
  • Must have: PySpark, Python Databricks

Job Description:
We are building out an Enterprise Data Platform (EDP) entirely on the cloud, utilizing Databricks on AWS. The project involves two teams focused on data ingestion, with a framework already established using Python and Spark for processing. The platform leverages DBT for data modeling. Our goal is to enhance data transformation capabilities while maintaining high standards for testing and data quality.
Key Responsibilities:
  • Lead Data Ingestion: Oversee and guide the data ingestion process, ensuring efficient and accurate data integration.
  • Mentorship: Mentor junior engineers, promoting engineering excellence and improving delivery processes.
  • Data Expertise: Utilize extensive knowledge of various data structures (Oracle, DB2, Mainframe, MongoDB, DynamoDB) to optimize data ingestion and transformation.
  • Data Profiling: Analyze structured, unstructured, and semi-structured data to determine the best methods for profiling and ingestion.
  • Ownership: Take full ownership of data sources and datasets, determining the best methods for ingestion and understanding the data thoroughly.
  • Collaboration: Work closely with staff engineers and other team members to schedule and conduct interviews, ensuring a collaborative and proactive work environment.

Required Skills and Experience:
  • Technical Proficiency: Strong experience with Databricks, AWS, Python, Spark, and DBT.
  • Cloud Migration: Proven track record in cloud migration projects, particularly moving on-premises systems to the cloud.
  • Data Modeling: Expertise in data modeling and transformation, with a focus on the Medallion architecture.
  • Leadership: Demonstrated ability to lead teams, mentor junior engineers, and drive engineering excellence.
  • Data Structures: In-depth knowledge of various data structures, including Oracle, DB2, Mainframe, MongoDB, and DynamoDB.
  • Data Profiling: Experience with profiling structured, unstructured, and semi-structured data to optimize ingestion processes.
  • Soft Skills: Accountable, collaborative, and proactive, with strong communication and interpersonal skills.

Interview Process:
  • Round 1: Technical interview with staff engineers.
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About HonorVet Technologies

Sourced by ZipRecruiter

HonorVet Technologies, located in Fairfield, NJ, US, is a technology-driven company with a unique dimension - enhancing veteran engagement in the workforce. Founded with the goal of supporting and preserving professional veterans while satisfying the IT and professional needs of businesses, HonorVet Technologies brings a particular focus to diversity and veteran hiring, making it a standout player in the IT and Staffing industries. Functioning as a veteran-driven community entity, the firm offers IT staffing, bespoke development, and consulting services, with the aim of connecting talents with IT-related job opportunities.

Industry

Recruiting and staffing services

Company size

201 - 500 Employees

Headquarters location

Fairfield , NJ, US

Year founded

2015

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