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Junior Data Engineering Jobs in Madison, WI (NOW HIRING)

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

... junior team members. This role will routinely make key decisions for the team, be accountable for application quality, and be highly productive. Working in our Data Engineering teams, you will ...

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

... junior team members. This role will routinely make key decisions for the team, be accountable for application quality, and be highly productive. Working in our Data Engineering teams, you will ...

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

... junior team members. This role will routinely make key decisions for the team, be accountable for application quality, and be highly productive. Working in our Data Engineering teams, you will ...

... with data engineers to assess data quality of incoming assay and clinical data, developing ... Mentor junior and mid-level data scientists, supporting their technical growth, project execution ...

... with data engineers to assess data quality of incoming assay and clinical data, developing ... Mentor junior and mid-level data scientists, supporting their technical growth, project execution ...

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 ...

Senior Data Scientist

Madison, WI · On-site

$120 - $170/hr

Mentor junior and mid-level data scientists, supporting their technical growth, project execution ... Experience programming in Python is preferred * Knowledge of machine learning, data science, data ...

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Showing results 1-20

Junior Data Engineering information

See Madison, WI salary details

$33.8K

$72.3K

$110.3K

How much do junior data engineering jobs pay per year?

As of Aug 19, 2026, the average yearly pay for junior data engineering in Madison, WI is $72,347.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,900.00 and $80,600.00 per year, depending on experience, location, and employer.

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 the key skills and qualifications needed to thrive as a junior data engineer?

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 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 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 most commonly searched types of Data Engineering jobs in Madison, WI?

The most popular types of Data Engineering jobs in Madison, WI are:

What are popular job titles related to Junior Data Engineering jobs in Madison, WI?

For Junior Data Engineering jobs in Madison, WI, the most frequently searched job titles are:

What job categories do people searching Junior Data Engineering jobs in Madison, WI look for?

The top searched job categories for Junior Data Engineering jobs in Madison, WI are:

What cities near Madison, WI are hiring for Junior Data Engineering jobs?

Cities near Madison, WI with the most Junior Data Engineering job openings:

Infographic showing various Junior Data Engineering job openings in Madison, WI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $72,347 per year, or $34.8 per hour.

$115K - $138K/yr

Full-time

Posted 18 days ago


Abbott rating

7.8

Company rating: 7.8 out of 10

Based on 138 frontline employees who took The Breakroom Quiz

176th of 540 rated manufacturers


Job description

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.JOB DESCRIPTION:
Position Overview

As a Senior Data Engineer, this seasoned professional will demonstrate competence and creativity in a wide range of technical areas. This role will have a lead role in the design, development, and testing of software applications for Exact Sciences, creating expert design concepts and foolproof debugging. This role will be able to resolve most issues and problems effectively with minimal oversight, communicate effectively with business stakeholders and mentor junior team members. This role will routinely make key decisions for the team, be accountable for application quality, and be highly productive.

Working in our Data Engineering teams, you will collect and analyze data to develop robust IT solutions that deliver advanced data analytics capabilities to the organization. You will develop database architectures to address business requirements, ensuring system scalability, security, performance, and reliability. Additionally, you will design and document database applications such as interfaces, data transfer mechanisms, and data partitions to enable efficient access of the generic database structure.

This role is based in Madison, WI.

Essential Duties

Include, but are not limited to, the following:

  • Has complete knowledge, skills, and understanding of practices for complex programs and initiatives demonstrating creativity and substantial understanding of specialized techniques, processes, procedures.

  • Troubleshoot issues and problems of medium complexity for major software applications; break down complex tasks, make reasonable decisions, investigate and fix bugs, and operate independently.

  • Initiate independent designs that impact and influence the department's delivery and approach. Lead reviewing design alternatives, problems, and solutions with an eye on limiting the need for later problem solving.

  • Consistently influence and make significant decisions within a project, demonstrating good judgment in selecting methods and techniques for obtaining solutions based in a solid understanding of business strategy and best practices with minimal instructions for difficult or unpredictable situations.

  • Contribute individual capabilities to the achievement of group objectives, and work effectively with others in a group setting. This includes mentoring, coaching, and technical guidance for junior members of the team.

  • Build successful internal and external partnerships with peers, SMEs, stakeholders, and decision-makers.

  • Communicate clear and concise project plans/designs and status updates for a project.

  • Ability to work nights and/or weekends, as needed.

  • Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.

  • Support and comply with the company's Quality Management System policies and procedures.

  • Maintain regular and reliable attendance.

  • Ability to act with an inclusion mindset and model these behaviors for the organization.

Minimum Qualifications

  • Bachelor's Degree in Data Science, Computer Science, Information Systems, Mathematics, or Engineering; or High School Diploma/General Education Degree and 4 years of relevant experience as outlined in the essential duties in lieu of Bachelor's Degree.

  • Complete knowledge and full understanding of software development design and development, and relevant domain specific skills (see below).

  • Spark on Snowflake or Databricks.

  • Python, Scala, SQL development.

  • ETL data pipelines.

  • Designing and implementing data modeling solutions using relational, dimensional, and/or NoSQL databases.

  • Database architecture testing methodology, including execution of test plans, debugging, and testing scripts and tools.

  • Big Data file formats (Parquet, Avro, Delta Lake).

  • Cloud Infrastructure services (i.e., AWS, SQS, S3, and GitLab).

  • Agile development tools; including, but not limited to, JIRA, Confluence repository.

  • RestAPI development.

  • Tableau, ideally including performance optimization.

  • Demonstrated ability to perform the essential duties of the position with or without accommodation.

  • Applicants must be currently authorized to work in country where work will be performed on a full or part-time basis. We are unable to sponsor or take over sponsorship of employment visas at this time.

Preferred Qualifications

  • Advanced understanding of Model Context Protocol (MCP), including consuming packaged MCP integrations (e.g., Atlassian), configuring custom MCP servers, and developing MCP and skills integrations to extend AI tooling within data workflows.

  • Familiarity with customer data platform (CDP) concepts, Braze or other patient/provider communications workflows/processes.

The base pay for this position is

$78,000.00 - $156,000.00

In specific locations, the pay range may vary from the range posted.

JOB FAMILY:Product DevelopmentDIVISION:ONCO Cancer DiagnosticsLOCATION:United States > Madison : 1 Exact LaneADDITIONAL LOCATIONS:WORK SHIFT:StandardTRAVEL:NoMEDICAL SURVEILLANCE:Not ApplicableSIGNIFICANT WORK ACTIVITIES:Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdfEEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf

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