1

Data Engineer Contract Jobs in Wisconsin (NOW HIRING)

GCP Solutions Architect

Appleton, WI ยท On-site

$90 - $95/hr

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 ...

Data/Information Architect

Madison, WI ยท On-site

$57 - $66/hr

This contract opportunity is ideal for a senior specialist who can connect enterprise architecture strategy with hands-on engineering across cloud platforms, automation, and scalable data solutions.

Project Engineer, NA

Port Washington, WI ยท On-site

$65K - $83K/yr

About Vantage Data Centers Vantage Data Centers powers, cools, protects, and connects the ... Facilitate internal coordination for project document reviews, cost exercises, contract issuances ...

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Shall be responsible for preparing all necessary reports as specified in the contract's documents ...

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Shall be responsible for preparing all necessary reports as specified in the contract's documents ...

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Shall be responsible for preparing all necessary reports as specified in the contract's documents ...

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 Aug 9, 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 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 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 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 Data Engineer Contract jobs in Wisconsin? For Data Engineer Contract jobs in Wisconsin, the most frequently searched job titles 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 August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $130,930 per year, or $62.9 per hour.

Salesforce Data Cloud Architect

Kforce Technology Staffing

Fitchburg, WI โ€ข On-site

$67.25 - $86.50/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired 2 days ago.ย Applications are no longer accepted.


Job description

RESPONSIBILITIES:
Kforce has a client in Fitchburg, WI that is looking for a Salesforce Data Cloud Architect for a remote contract to hire opportunity.
Responsibilities:
* Lead the end-to-end architecture and implementation of Salesforce Data Cloud solutions
* Design scalable data models, identity resolution strategies, calculated insights, and segmentation frameworks
* Develop enterprise customer data strategies that support marketing, service, analytics, and AI initiatives
* Define governance, security, privacy, and consent management approaches for Data Cloud
* Design integrations between Salesforce Data Cloud and enterprise systems including EMRs, CRMs, marketing platforms, data warehouses, and third-party applications
* Build and optimize Data Streams, Data Lake Objects, Data Model Objects, Data Actions, and Calculated Insights
* Design identity resolution rules and unified customer profiles
* Ensure high-quality, reliable, and scalable data ingestion processes
* Enable audience segmentation and activation across Marketing Cloud, Health Cloud, Service Cloud, and external platforms
* Design real-time and batch activation strategies
* Support AI use cases including Agentforce, Einstein, and predictive analytics
* Optimize personalization strategies using unified customer profiles
* Monitor and optimize Data Cloud consumption credits
* Recommend best practices for data retention, refresh schedules, segmentation, and data processing
* Identify opportunities to improve performance while reducing operational costs
* Establish monitoring and governance processes
* Lead client discovery sessions and solution workshops
* Translate business requirements into technical architecture and implementation roadmaps
* Present solution designs to executive and technical stakeholders
* Provide strategic recommendations based on Salesforce platform capabilities and industry best practices
* Establish implementation standards, reusable frameworks, and documentation
REQUIREMENTS:
* Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical field (or equivalent professional experience)
* 2+ years of implementing Salesforce Data Cloud in enterprise environments
* Strong foundation in software engineering principles, including object-oriented programming, algorithms, data structures, system design, and application architecture
* Experience integrating Salesforce with enterprise applications using APIs, MuleSoft, ETL tools, or cloud data platforms
* Strong Python development experience with the ability to build and maintain ETL/ELT pipelines, automate data processing, and develop reusable integration utilities
* Experience designing and consuming REST APIs and integrating enterprise applications using modern authentication and integration patterns
* Experience designing secure, scalable enterprise data architectures
* Strong understanding of customer data platforms (CDPs), identity resolution, and customer 360 concepts
* Strong understanding of source control, CI/CD practices, testing, debugging, logging, and production support for enterprise data solutions
* Deep understanding of Salesforce Data Cloud objects, ingestion methods, segmentation, calculated insights, and activation
* Expert-level SQL skills, including writing and optimizing complex queries, joins, common table expressions (CTEs), window functions, and data transformations across large datasets
* Working knowledge of Server-Side JavaScript (SSJS), with the ability to develop and troubleshoot Marketing Cloud automation and integration scripts
* Knowledge of cloud data platforms such as Snowflake, Databricks, or Big Query
* Excellent communication and client-facing consulting skills
* Demonstrated ability to design and troubleshoot complex distributed systems, APIs, and enterprise integrations
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.