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Associate Data Engineer Jobs in Wisconsin (NOW HIRING)

... Associate, etc.) are a plus. * Eight or more years of professional experience working as a Data Analytics Architect or a Senior Data Integration Developer (Data Engineer) with a primary focus on ...

... Associate, etc.) are a plus. * Eight or more years of professional experience working as a Data Analytics Architect or a Senior Data Integration Developer (Data Engineer) with a primary focus on ...

WI · On-site

$150 - $200/hr

Associate Solutions Engineers are expected to execute technical designs, own discrete data engineering workstreams, and contribute directly to successful client outcomes. Initial focus areas include ...

Data Warehouse Developer

Eau Claire, WI · Hybrid

$48.75 - $66.75/hr

Bachelor or Associates degree in an Analytical related field; including Computer Science, Software Development, Information Technology, Data Engineering or related work experience. * One or more ...

Data Warehouse Developer

Eau Claire, WI · On-site

$48.75 - $66.75/hr

Bachelor or Associates degree in an Analytical related field; including Computer Science, Software Development, Information Technology, Data Engineering or related work experience. * One or more ...

AI Engineer

Milwaukee, WI · On-site

$50K - $112K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... As an Associate, you will focus on learning and contributing to projects while developing your ...

Associate Engineer

Whitewater, WI · On-site

$60 - $80/hr

Associate Engineer** is responsible for providing support to the Engineering lab regarding test ... Proficiency working with Data Acquisition Systems.* Knowledge of ISO 17025* Experience in welding ...

Showing results 21-40

Associate Data Engineer information

See Wisconsin salary details

$9

$18

$31

How much do associate data engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for associate data engineer in Wisconsin is $18.91, according to ZipRecruiter salary data. Most workers in this role earn between $15.53 and $20.14 per hour, depending on experience, location, and employer.

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are the key skills and qualifications needed to thrive as an associate data engineer?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What are some common challenges an associate data engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

Is an associate data engineer entry level?

An associate data engineer is typically an entry-level position suitable for candidates with limited professional experience in data engineering. It often requires foundational skills in SQL, Python, or cloud platforms and serves as a starting point for a career in data engineering.

What are the most commonly searched types of Data Engineer jobs in Wisconsin?

The most popular types of Data Engineer jobs in Wisconsin are:

What are popular job titles related to Associate Data Engineer jobs in Wisconsin?

For Associate Data Engineer jobs in Wisconsin, the most frequently searched job titles are:

What cities in Wisconsin are hiring for Associate Data Engineer jobs?

Cities in Wisconsin with the most Associate Data Engineer job openings:

Infographic showing various Associate Data Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $39,339 per year, or $18.9 per hour.

Assistant Data Solutions Engineer

Madison, WI • On-site

West Bend Mutual Insurance Company
Insurance Services • 1 - 5K employees

$68K - $86K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


West Bend Insurance rating

9.5

Company rating: 9.5 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

7th of 315 rated insurance


Job description

Assistant Data Solutions Engineer
Job Locations US-WI-Madison
ID 2026-3722
Category Data Full-Time Remote/Hybrid Remote
Company Overview

Recognized as aMilwaukee Journal SentinelTop Workplace for 14 consecutive years, including three years of being honored as number one! Join us at West Bend, where we believe that our associates are our greatest asset. We hire talented individuals who are conscientious, dedicated, customer focused, and able to build lasting relationships. We create and maintain an environment where you feel a sense of belonging and appreciation. Your diversity of thought, experience, and knowledge are valued. We're committed to fostering a welcoming culture, offering you opportunities for meaningful work and professional growth. More than a workplace, we celebrate our successes and take pride in serving our communities.

Job Summary

Provides foundational support for the development and maintenance of business-facing datasets used for reporting and analytics. Works closely with and under the guidance of more experienced data engineers to learn and apply basic data engineering practices.

Work Location

This position offers both remote and hybrid work locations. Candidates who reside within 50 miles of an office location (West Bend, Madison, Appleton) will be offered a hybrid work schedule. Candidates who are fully remote (beyond 50 miles) may occasionally be asked to travel to an office location for in-person engagement activities such as team meetings, training and corporate events.

Responsibilities & Qualifications

Summary of Responsibilities

Provides foundational support for the development and maintenance of business-facing datasets used for reporting and analytics. Works closely with and under the guidance of more experienced data engineers to learn and apply basic data engineering practices. Assists with data preparation, validation, and documentation while developing technical skills, business knowledge, and familiarity with enterprise data standards.

Key Responsibilities

    Assists with the integration, development and maintenance of datasets using established tools and processes.
  • Supports data integration, validation, transformation, enrichment, and publication activities under guidance.
  • Performs basic data validation and engineering tasks and basic troubleshooting following defined standards and instructions.
  • Collaborates with data owners, stewards, engineers, analysts, and business partners to understand data requirements and usage.
  • Creates and updates documentation to support dataset clarity, accuracy, and maintainability.
  • Uses SQL, Python and other data tools to support data development and analysis tasks.
  • Learns and applies data engineering best practices, data governance standards, and business data concepts.
  • Demonstrates initiative in building technical skills, asking questions, and incorporating feedback.

Preferred Experience and Skills

  • 0-2 years of data engineering experience.
  • Knowledge of data concepts, data modeling, and data integration techniques.
  • Exposure to SQL and experience with at least one programming or scripting language such as Python, R, or SAS.
  • Familiarity with data engineering tools, platforms, or cloud-based data environments.
  • Basic understanding of software engineering principles and version control practices.
  • Ability to follow established standards and processes while contributing to continuous improvement.
  • Analytical, problem-solving, and attention-to-detail skills.
  • Effective written and verbal communication skills, with the ability to document work clearly.
  • Ability to work collaboratively as part of a team with guidance from senior engineers, while independently managing assigned tasks.

Preferred Education and Training

  • Bachelor's degree in computer science or related field, or equivalent combination of education and experience.
  • Internship or experience with Property & Casualty data is a plus.
Salary Statement

The salary range for this position is $68,933.00 - $86,166.00 Yr.

The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, business needs, geographical location, and internal equity. Compensation decisions are made by West Bend and are dependent upon the facts and circumstances of each position and candidate.

Benefits

West Bend offers a comprehensive benefit plan including but not limited to:

  • Medical & Prescription Insurance
  • Health Savings Account
  • Dental Insurance
  • Vision Insurance
  • Short and Long Term Disability
  • Flexible Spending Accounts
  • Life and Accidental Death & Disability
  • Accident and Critical Illness Insurance
  • Employee Assistance Program
  • 401(k) Plan with Company Match
  • Pet Insurance
  • Paid Time Off. Standard first year PTO is 17 days, pro-rated based on month of hire. Enhanced PTO may be available for experienced candidates
  • Bonus eligible based on performance
  • West Bend will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act for Colorado employees, in accordance with its plans and policies.
EEO

West Bend provides equal employment opportunities to all associates and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, and promotion.


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