1

Data Engineer Contract Jobs in Wisconsin (NOW HIRING)

Contract Lead

Mount Pleasant, WI ยท On-site

$85K - $114K/yr

OR Master's degree in engineering, Computer Science, Supply Chain, Data Analytics, Business ... Experience in construction contract management across pre- and post-award phases * Strong knowledge ...

Contracts Specialist Advanced

Madison, WI ยท On-site

$68K - $87K/yr

... engineering, planning, environmental services, public outreach, real estate, finance and many more ... data for use in future contract negotiation and region performance measurements. This position is ...

New

Contracts Specialist Advanced

Madison, WI ยท On-site

$68K - $87K/yr

... engineering, planning, environmental services, public outreach, real estate, finance and many more ... data for use in future contract negotiation and region performance measurements. This position is ...

New

... across engineering, installation, sales, and accounting. You'll ensure that all required ... accurate data. Additionally, you'll help the sales team draft scope changes and provide ...

... across engineering, installation, sales, and accounting. You'll ensure that all required ... accurate data. Additionally, you'll help the sales team draft scope changes and provide ...

WI ยท On-site

$105K - $138K/yr

... contracts, and regression checks. * Troubleshoot model failures caused by data quality, domain ... Strong software engineering fundamentals and ability to build maintainable ML systems beyond ...

New

Data Warehouse Developer

Madison, WI ยท On-site

$49.75 - $68/hr

We are an approved vendor on contract to provide software development and IT staff augmentation ... Our client seeks a Data Warehouse Developer to design, develop, and maintain relational databases ...

New

Please note that this is a (contract/contract to hire/direct hire) opportunity with our client and ... Knowledge, Skills, and Abilities Required ยท 5-7 years of work experience in data engineering ยท ...

Showing results 21-40

Data Engineer Contract information

See Wisconsin salary details

$44.9K

$130.9K

$179.2K

How much do data engineer contract jobs pay per year?

As of Sep 14, 2026, the average yearly pay for data engineer contract in Wisconsin is $130,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,600.00 and $138,800.00 per year, depending on experience, location, and employer.

What is a data engineer contract?

A Data Engineer Contract job is a temporary or project-based role where a data engineer is hired for a specific duration to design, build, and maintain data pipelines and infrastructure. Contract data engineers often work with big data technologies, ETL processes, and cloud platforms to ensure data is efficiently processed and accessible. These roles can be short-term (a few months) or long-term (a year or more), depending on the project's needs. Contractors may work independently or as part of a larger data team, and they are typically paid hourly or per project rather than receiving a fixed salary and benefits like full-time employees.

What are the typical daily responsibilities of a data engineer contract?

As a Data Engineer contractor, your day-to-day tasks often include designing, building, and maintaining data pipelines, implementing ETL processes, and preparing datasets for analytics or machine learning teams. You may be asked to collaborate with data scientists, analysts, and other engineers to understand data requirements and resolve technical issues. Contractors also frequently assess data quality, optimize performance, and document their work for seamless team integration. The role is fast-paced and may require you to quickly adapt to new projects or technologies, making it ideal for those who enjoy dynamic, project-based environments.

What are the key skills and qualifications needed to thrive in the data engineer contract position, and why are they important?

To thrive as a Data Engineer Contract, you need expertise in data modeling, ETL processes, and proficiency with programming languages such as Python or SQL, often supported by a degree in computer science or related field. Familiarity with big data platforms like Hadoop or Spark, experience with cloud services (AWS, GCP, or Azure), and certifications in relevant technologies are highly valued. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills. These abilities ensure data engineers can efficiently design scalable pipelines, troubleshoot issues, and collaborate across teams to support data-driven decision-making.

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 job categories do people searching Data Engineer Contract jobs in Wisconsin look for?

The top searched job categories for Data Engineer Contract jobs in Wisconsin are:

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

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

Infographic showing various Data Engineer Contract job openings in Wisconsin as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $130,930 per year, or $62.9 per hour.

Insurance Data Modeler / Business Analyst / Data Analyst - Atomic Data Vault

Wisconsin Dells, WI โ€ข On-site

ConglomerateIT
IT Servicesย โ€ขย 11 - 50 employees

$50.50 - $65.50/hr

Other

Posted 5 days ago


Job description

Title: Insurance Data Modeler / Business Analyst / Data Analyst Atomic Data Vault

Location: 100% Remote Milwaukee, WI based

Duration: Long Term Contract

Work Hours: U.S. Core Business Hours

Role Summary

We are seeking an Insurance Data Modeler / Business Analyst with strong Property & Casualty (P&C) Insurance functional experience, hands-on Atomic Data Vault (ADV / Data Vault 2.0) modeling, and Source-to-Target Mapping (STM) expertise. The role will analyze insurance source systems, translate business requirements into data models, and design Hubs, Links, and Satellites for an enterprise data transformation initiative. This is not a pure Data Engineering role; strong insurance domain and data modeling experience are essential.

Responsibilities
  • Design and develop Atomic Data Vault (ADV) models including Hubs, Links, and Satellites.
  • Perform Source-to-Target Mapping (STM) across insurance source systems.
  • Analyze and document Property & Casualty insurance data including policies, claims, billing, underwriting, and financial data.
  • Translate business requirements into logical and physical data models.
  • Profile source data and identify business keys, relationships, attributes, and transformation rules.
  • Collaborate with business stakeholders, data architects, and engineering teams.
  • Maintain data dictionaries, lineage, mapping documents, and modeling artifacts.
  • Support data migration, validation, reconciliation, and data quality activities.
Must-Have Skills (Priority Order) Priority Skill 1 Property & Casualty (P&C) Insurance Domain Experience 2 Atomic Data Vault (ADV) / Data Vault 2.0 Modeling 3 Source-to-Target Mapping (STM) 4 Data Modeling Logical & Physical 5 Insurance Data Analysis / Functional Experience 6 Hubs, Links & Satellites Classification 7 Strong SQL & Data Profiling 8 Erwin Data Modeler

Founded in 2014, is a global leader in delivering innovative IT solutions and services. Headquartered in the USA with a presence in the UK, Canada, and India, we specialize in offering industry-leading expertise and cutting-edge products that help our clients maximize their technological investments. Our focus on best-in-class solutions, a highly knowledgeable team, and proactive talent mapping ensure we remain at the forefront of the IT industry.

ConglomerateIT is driven by our Center for Excellence and Innovation, an initiative dedicated to keeping us ahead in a rapidly evolving technology landscape. We understand that building strong relationships is key to our success, and this commitment has enabled us to partner with Fortune 500 companies and leading system integrators worldwide. Our ability to provide local talent on a global scale ensures that we can meet the contingent project requirements of our clients efficiently and effectively.