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Junior Data Engineering Jobs in Wisconsin (NOW HIRING)

Continuus Technologies LLC

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

Overview The Junior Data Engineer supports the design, development, and maintenance of data ... Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field (or ...

Continuus Technologies LLC

Senior Data Engineer

Germantown, WI · On-site

$107K - $146K/yr

Mentor junior data engineers and review code * Contribute to data platform roadmap and continuous improvement Qualifications * Bachelor's degree in Computer Science, Engineering, or related field (or ...

trane technologies

Senior Data Modeler

La Crosse, WI · On-site

Mentor junior data modelers, data engineers, and analytics professionals in modeling standards and practices. * Review and approve models created by other teams to ensure enterprise alignment.

Continuus Technologies LLC

Senior Data Analyst

Germantown, WI · On-site

$87K - $110K/yr

Mentor junior analysts and support skill development * Improve data quality, documentation, and ... Familiarity with data modeling or data engineering concepts * Domain expertise (e.g., finance, HR ...

Pwc

Data Engineer - Senior Associate

Milwaukee, WI

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... guiding junior team members - Upholding standards in project deliverables - Building and ...

Newance

Senior Data Scientist

Green Bay, WI · On-site

You will also be expected to act as mentor to junior team members, growing their skillsets while ... Data engineering concepts * Optimization model methodologies * Forecasting model development and ...

Deloitte

Senior Data Engineer

Milwaukee, WI · Hybrid

$104K - $141K/yr

Define and enforce data engineering standards - naming conventions, partitioning strategies ... Mentor junior and mid-level engineers through code reviews and pair programming * Evaluate new ...

Johnson Controls

Ai Engineer

Milwaukee, WI

... junior engineers on specific problems as you deliver measurable business value. How you will do it ... Data, ML & Software Engineering * Build and maintain the data pipelines that feed AI systems ...

Ellianse LLC

Junior Business Analyst

Madison, WI · On-site

$26.75 - $35.75/hr

Collaborate cross-functionally with stakeholders, developers, and project teams to ensure effective ... Bachelor''s degree in Business, Information Systems, Data Analytics, or a related field. * Strong ...

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All JobsData Engineering JobsJunior Data Engineering JobsJunior Data Engineering Jobs in Wisconsin

Junior Data Engineering information

See Wisconsin salary details

$33.8K

$72.5K

$110.5K

How much do junior data engineering jobs pay per year?

As of Jul 30, 2026, the average yearly pay for junior data engineering in Wisconsin is $72,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $80,700.00 per year, depending on experience, location, and employer.

What is the difference between Junior Data Engineering vs Data Analyst?

AspectJunior Data EngineeringData Analyst
Required SkillsBasic SQL, Python, data pipeline knowledgeData visualization, SQL, Excel
CertificationsEntry-level certifications in data engineering or related fieldsCertifications in data analysis or visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, marketing, finance teams
Industry UsageBuilding and maintaining data pipelines and infrastructureInterpreting data, creating reports and dashboards

Junior Data Engineering focuses on developing and maintaining data pipelines and infrastructure, requiring skills in SQL and Python. Data Analysts interpret data and create reports, often using visualization tools. While both roles work with data, Junior Data Engineers handle data flow and storage, whereas Data Analysts focus on data interpretation and insights.

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

To thrive as a Junior Data Engineer, you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and data warehousing solutions is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you excel in team environments and manage complex data workflows. These skills ensure you can reliably build, maintain, and optimize data pipelines that support organizational decision-making.

What does a Junior Data Engineer do?

A Junior Data Engineer typically assists in designing, building, and maintaining data pipelines and databases to support analytics and business needs. They work with large datasets, ensuring data is collected, stored, and processed efficiently and accurately. Responsibilities often include data cleaning, ETL (Extract, Transform, Load) processes, and collaborating with data analysts and other engineers. Junior Data Engineers are usually early in their careers and work under the guidance of more experienced data engineers while developing their technical and problem-solving skills.

What are some typical challenges a Junior Data Engineer may face when starting out, and how can they overcome them?

As a Junior Data Engineer, one common challenge is adapting to complex data infrastructure and unfamiliar tools or frameworks. You may also find it challenging to ensure data quality and consistency while working with large datasets. Collaborating closely with senior engineers and asking questions is key to overcoming these hurdles. Taking advantage of onboarding resources, documentation, and code reviews will help you learn best practices and improve your skills quickly. Embracing continuous learning and seeking feedback will set you up for long-term growth in data engineering.
What are the most commonly searched types of Data Engineering jobs in Wisconsin? The most popular types of Data Engineering jobs in Wisconsin are:
What are popular job titles related to Junior Data Engineering jobs in Wisconsin? For Junior Data Engineering jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Junior Data Engineering jobs in Wisconsin look for? The top searched job categories for Junior Data Engineering jobs in Wisconsin are:
What cities in Wisconsin are hiring for Junior Data Engineering jobs? Cities in Wisconsin with the most Junior Data Engineering job openings:
Junior Data Engineering jobs near you
Infographic showing various Junior Data Engineering job openings in Wisconsin as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $72,471 per year, or $34.8 per hour.

Jr. Data Engineer

Continuus Technologies LLC

Germantown, WI • On-site

$116K - $139K/yr

Full-time

Re-posted 21 days ago

Job description

Overview

The Junior Data Engineer supports the design, development, and maintenance of data pipelines and data infrastructure. This role focuses on building reliable, scalable data solutions that enable analytics, reporting, and data-driven decision-making across the organization.

Key Responsibilities

  • Assist in building and maintaining data pipelines (ETL/ELT)

  • Support data ingestion from internal and external sources

  • Help clean, transform, and validate data for analytics use

  • Monitor data jobs and troubleshoot data pipeline issues

  • Maintain data models, schemas, and documentation

  • Partner with data analysts and stakeholders to understand data needs

  • Support data quality, reliability, and governance initiatives

  • Follow best practices for version control, testing, and deployment

Qualifications

  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience)

  • Experience with SQL and relational databases

  • Familiarity with at least one programming language (Python preferred)

  • Basic understanding of data warehousing concepts

  • Experience with Git or version control tools

  • Strong problem-solving and analytical skills

Preferred

  • Exposure to cloud platforms (AWS, Azure, or GCP)

  • Familiarity with ETL tools or orchestration frameworks (Airflow, dbt, Fivetran, etc.)

  • Understanding of data lakes and modern data stack concepts

  • Experience working with large or complex datasets