ZipRecruiter

Log In

1

Data Engineer Jobs in Appleton, WI (NOW HIRING)

Fielmann USA

Data Engineer I

Green Bay, WI · On-site

$111K - $133K/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

$111K - $133K/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 ...

U.S. 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 ...

U.S. Venture

Senior Data Engineer - IGEN

Appleton, WI · On-site

$100K - $137K/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 ...

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

Senior AI Engineer (Breakthrough)

Green Bay, WI · On-site

$101K - $139K/yr

Solving entity resolution and data integration across diverse data sources * Building evaluation ... Collaborate with engineers and data scientists to build and deploy scalable AI-driven features.

U.S. Venture

Principal Data Scientist

Appleton, WI · On-site

Data engineering and feature engineering concepts at scale, including pipelines built on modern cloud data platforms (e.g., Azure Data Factory / Synapse / Fabric, GCP BigQuery, Dataflow, and open ...

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 ...

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 Jul 8, 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.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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.

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 pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
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

Data Engineer I

Fielmann USA

Green Bay, WI • On-site

$111K - $133K/yr

Full-time

Re-posted 27 days ago

Job description

Onsite- Green Bay, WI.

POSITION SUMMARY:

Responsible for the development and maintenance of data pipeline infrastructures, ensuring the seamless flow of data for various needs within the organization. Work alongside data professionals, contributing to the design and implementation of data architectures that meet the evolving needs of the business. Support the transformation of raw data into usable information for analysts and other internal stakeholders.


DUTIES AND RESPONSIBILITIES:

DATA PIPELINE DEVELOPMENT

• Assist in building and maintaining data pipelines from internal databases and SaaS applications

• Support the development of ETL (Extract, Transform, Load) processes

• Assist in implementing data validation and quality checks to ensure accuracy and consistency

• Write clean, documented, and maintainable code following established standards


DATA INFRASTRUCTURE SUPPORT

• Assist in maintaining databases, data warehouses, and data lake components

• Support the configuration and monitoring of data infrastructure

• Assist in troubleshooting basic data processing issues and escalate complex problems

• Participate in code reviews and incorporate feedback from senior 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 ingestion processes for structured and unstructured data

• Document integration processes and data flow for transparency and standardization


COLLABORATION & DOCUMENTATION

• Create and maintain systems and process documentation

• Collaborate with various engineers and analysts to support their work

• Participate in team meetings and contribute to planning discussions

• Actively seek out learning opportunities and keep up with advancements in data engineering practices


MINIMUM KNOWLEDGE, EXPERIENCE & SKILLS REQUIREMENTS:

• Bachelor’s degree in computer science, data engineering, information systems, or related field or equivalent experience

• 1 - 2 years of experience in data engineering, software development or related roles

• Experience using Python, Java, or Scala for data processing (Python preferred)

• Familiar with data-related Python packages (pandas, NumPy)

• Basic understanding of SQL and relational databases

• Basic knowledge of version control systems (Git)

• Understanding of data modeling fundamentals preferred

• Knowledge of Linux/UNIX operating systems preferred

• Exposure to cloud platforms (AWS, Azure,or Google Cloud Platform)

• Able to take direction, prioritize work, and manage multiple activities simultaneously

• Excellent communication skills

• Able to work independently and as part of a team

• Willing to share knowledge and experience with other members of the team

• Strong analytical and problem-solving skills

• Attention to detail and commitment to data quality

• Solid planning and organizational skills

• Proficiency with Microsoft Office Suite of programs


ESSENTIAL FUNCTIONS & WORK REQUIREMENTS:

• Ability to effectively communicate at all levels within the organization through written and two-way verbal communication

• Able to read and write at a high school graduate level

• Able to sit or stand for extended periods of time

• Able to operate various office equipment (e.g., personal computer, telephone, fax machine, copier, etc.)

• Able to lift 10 to 20 pounds

• Able to work overtime and regular and/or extended (evenings, nights, and weekends) office hours to meet established deadlines

• Able to travel independently to support Company objectives and personal development


These statements are intended to describe the general nature and level of work performed by teammates assigned to this job classification. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required.