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Data Engineer Jobs in Appleton, WI (NOW HIRING)

TEKsystems

Cloud Platforms Engineer

Oshkosh, WI · On-site

$35 - $50/hr

Client The Cloud Platforms Engineer is responsible for designing, deploying, securing, and ... Implement secure identity, access, data protection, and responsible AI controls. Automation & IaC

Core BTS

GCP Solutions Architect

Appleton, WI

$90 - $95/hr

Knowledge, Skills, and Abilities Required · 5-7 years of work experience in data engineering · Your data engineering experience should include Google Cloud Platform (GCP) technologies and be deeply ...

Bridgenext

Lead Automation Engineer

Green Bay, WI · On-site

Develop and manage test data for a wide range of scenarios * Perform both manual and automated testing to maintain product reliability and performance * Collaborate closely with developers and ...

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 ...

Faith Technologies Inc.

Data Analyst II

Menasha, WI · On-site

Cares about leading the way in construction, engineering, manufacturing and renewable energy. Cares ... The Data Analyst II will help our organization turn data into information, information into insight ...

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

Faith Technologies Inc

Data Governance Analyst

Menasha, WI · On-site

$100 - $125/hr

Cares about leading the way in construction, engineering, manufacturing and renewable energy. Cares ... The Data Governance Analyst plays a key role in advancing enterprise data governance initiatives by ...

Faith Technologies

Data Governance Analyst

Menasha, WI · Hybrid

Cares about leading the way in construction, engineering, manufacturing and renewable energy. Cares ... The Data Governance Analyst plays a key role in advancing enterprise data governance initiatives by ...

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Showing results 21-40

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

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

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

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

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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.

Urgent Need: AWS Data Platform Enablement Specialist in WI

Vertex Elite LLC

Neenah, WI • On-site

Contractor

Re-posted 14 days ago

Job description

Overview:

We are seeking an experienced AWS Data Platform Enablement Specialist to support our client’s onboarding and training efforts. The ideal candidate will guide the client’s technical team through the AWS-based data platform that has already been developed, provide knowledge transfer sessions, and be available to answer ongoing questions without impacting core delivery timelines.

Key Responsibilities:

  • Serve as the primary point of contact for the client’s technical team during onboarding
  • Conduct in-depth walkthroughs of the implemented AWS data platform, including:
    • Data ingestion pipelines
    • ETL/ELT processes (Appflow, Glue, Lambda Functions)
    • Storage layers (S3, Redshift, etc.)
    • Query layers (Athena, Redshift, BI tools)
    • Monitoring and logging
  • Clarify existing documentation and help fill knowledge gaps
  • Assist the team with navigating AWS services and consoles
  • Enable users to run and monitor jobs, troubleshoot common issues, and understand platform behavior
  • Facilitate working sessions to build confidence in using and maintaining the platform
  • Document recurring questions and provide tailored FAQs or cheat sheets
  • Provide input on any missing documentation or training materials that would improve adoption

Required Skills & Experience:

  • 4+ years of experience in cloud-based data engineering or platform support
  • Strong hands-on experience with AWS services, especially:
    • Amazon S3
    • Open Table Formats (Apache Iceberg)
    • AWS Glue (jobs, crawlers, workflows)
    • Athena and Redshift
    • Lambda, SNS
    • CloudWatch (logs, alarms)
  • Solid understanding of data pipeline architecture and development lifecycles
  • Excellent communication and interpersonal skills — must be able to simplify technical concepts for non-cloud-native teams
  • Prior experience delivering KT sessions or onboarding support for cloud/data platforms
  • Comfortable working independently and managing client interactions

Additional Qualifications:

  • Experience with BI tools like Tableau, or SAC
  • Familiarity with data governance and metadata practices