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Entry Level Data Analytics Engineer Jobs in Wisconsin

Jr. Data Engineer

Germantown, WI · On-site

$116.50K - $139.90K/yr

Overview The Junior Data Engineer supports the design, development, and maintenance of data ... This role focuses on building reliable, scalable data solutions that enable analytics, reporting ...

Currently pursuing a Bachelor's or Master's degree in science, engineering, data analytics, or a related field * Basic knowledge of statistics and data analysis * Strong proficiency with Microsoft ...

We are currently hiring an Entry-Level Machining Engineer at our Cudahy, WI location. As a ... Collect and analyze process data and evaluate simulation results to make engineering assessments.

Bachelor's degree preferred in Business, Manufacturing, Data Analytics, Engineering Technology, Operations, or related field. One to three years of experience in manufacturing, operations support ...

Bachelor's degree preferred in Business, Manufacturing, Data Analytics, Engineering Technology, Operations, or related field. One to three years of experience in manufacturing, operations support ...

Manufacturing Engineer

Horicon, WI · On-site

$40 - $42/hr

... • Data analysis & reporting Education / Experience • Bachelor's Degree in Engineering (Manufacturing, Mechanical, Industrial, etc.) • Entry-level to early-career candidates ( 0-3 years ...

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... VBA (or similar) programming knowledge required. * Robotic Process Automation (RPA) experience ...

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... VBA (or similar) programming knowledge required. * Robotic Process Automation (RPA) experience ...

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Entry Level Data Analytics Engineer information

What are the key skills and qualifications needed to thrive as an Entry Level Data Analytics Engineer, and why are they important?

To thrive as an Entry Level Data Analytics Engineer, you need foundational knowledge in statistics, data analysis, and programming, typically backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as SQL, Python, Excel, and data visualization platforms like Tableau or Power BI is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret data and collaborate with cross-functional teams. These skills ensure you can extract meaningful insights from data, support business decisions, and contribute to data-driven organizational goals.

What are some typical projects an Entry Level Data Analytics Engineer might work on during their first year?

As an Entry Level Data Analytics Engineer, you can expect to work on projects such as cleaning and organizing raw data, building basic data pipelines, and supporting senior engineers in developing dashboards or reports. You may also assist with troubleshooting data issues and automating repetitive tasks using scripts. These tasks help you gain hands-on experience with common tools and platforms, and provide exposure to teamwork and cross-functional collaboration with data analysts, business stakeholders, and IT teams.

What is an Entry Level Data Analytics Engineer?

An Entry Level Data Analytics Engineer is a professional who assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with large datasets, utilize tools like SQL, Python, or Excel, and help build data pipelines and dashboards. At the entry level, they focus on supporting senior data engineers and analysts, learning best practices, and developing foundational technical skills. This role is ideal for recent graduates or those new to the field looking to gain experience in data engineering and analytics.
What are the most commonly searched types of Data Analytics Engineer jobs in Wisconsin? The most popular types of Data Analytics Engineer jobs in Wisconsin are:
What are popular job titles related to Entry Level Data Analytics Engineer jobs in Wisconsin? For Entry Level Data Analytics Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analytics Engineer jobs in Wisconsin look for? The top searched job categories for Entry Level Data Analytics Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Entry Level Data Analytics Engineer jobs? Cities in Wisconsin with the most Entry Level Data Analytics Engineer job openings:
Infographic showing various Entry Level Data Analytics Engineer job openings in Wisconsin as of May 2026, with employment types broken down into 3% As Needed, 65% Full Time, 27% Part Time, and 5% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution.
Jr. Data Engineer

Jr. Data Engineer

Continuus Technologies LLC

Germantown, WI • On-site

$116.50K - $139.90K/yr

Full-time

Posted 19 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