ZipRecruiter

Log In

1

Data Acquisition Jobs in Wisconsin (NOW HIRING)

CliftonLarsonAllen

Manager of Data Science

Hudson, WI · On-site

Lead and oversee large scale analytical and AI initiatives, including data acquisition, transformation, modeling, AI system development, automation, and insight generation. * Provide technical ...

DTN (Data Transmission Network)

WI · On-site

$120 - $145/hr

Design and implement modern data and analytics architectures, establishing best practices for data integration, acquisition, and management. * Provide expert‑level support for complex data ...

New

CliftonLarsonAllen LLP

Manager of Data Science

Hudson, WI · On-site

$140 - $210/hr

Lead and oversee large scale analytical and AI initiatives, including data acquisition, transformation, modeling, AI system development, automation, and insight generation. * Provide technical ...

blueStone

Sr. BI Engineer

Beloit, WI

$102K - $140K/yr

Work on data acquisition, data import , data export and data management activities (using SSIS, SSRS, PostgresSQL). Collaborate with business managers to define high level and detailed requirements ...

Realta Fusion, Inc.

Lead Fusion Controls Developer

Madison, WI · On-site

$45.50 - $58.25/hr

Design and implement data acquisition pipelines, event-driven control logic, and real-time interlock systems. * Build and maintain device drivers, PLC interfaces, and low-level hardware communication ...

Realta Fusion Inc.

Lead Fusion Controls Developer

Madison, WI · On-site

$45.50 - $58.25/hr

Design and implement data acquisition pipelines, event-driven control logic, and real-time interlock systems. * Build and maintain device drivers, PLC interfaces, and low-level hardware communication ...

Generac

Associate Engineer

Whitewater, WI

Proficiency working with Data Acquisition Systems. * Knowledge of ISO 17025 * Experience in welding & shaping sheet metal * Experience participating in a team-based environment with some project ...

previous pagenext page

Showing results 21-40

All JobsData Acquisition JobsData Acquisition Jobs in Wisconsin

Data Acquisition information

See Wisconsin salary details

$46.4K

$166.6K

$245.8K

How much do data acquisition jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data acquisition in Wisconsin is $166,561.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,700.00 and $171,600.00 per year, depending on experience, location, and employer.

What is a data acquisition?

A Data Acquisition job involves collecting, processing, and managing data from various sources to ensure accuracy and usability. Professionals in this role work with sensors, databases, and software tools to gather real-time or historical data for analysis. They may also develop and maintain data acquisition systems, ensuring seamless data flow. This role is essential in industries like research, engineering, finance, and healthcare, where accurate data is critical for decision-making. Strong analytical skills, technical proficiency, and attention to detail are key for success in this field.

What does a data acquisition do?

A typical day in Data Acquisition involves sourcing data from various internal and external sources, ensuring data quality and consistency, and troubleshooting ingestion issues. Professionals in this role frequently collaborate with data scientists and analysts to define data requirements and prepare datasets for analysis. You may also work closely with IT and business stakeholders to ensure data privacy and compliance standards are met. The pace can vary depending on project deadlines, but problem-solving and continual learning are expected parts of the role.

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

To thrive in Data Acquisition, you need strong analytical abilities, attention to detail, and a background in computer science, data engineering, or a related field. Familiarity with data collection tools, databases, scripting languages (such as Python or SQL), and data integration platforms is highly valuable, and relevant certifications (like CompTIA Data+) can be advantageous. Excellent organizational skills, curiosity, and effective communication enable you to navigate large datasets and collaborate with cross-functional teams. These skills are vital for ensuring accurate, efficient, and compliant gathering of data to support business insights and decision-making.

What is the work of data acquisition?

Data acquisition involves collecting, measuring, and recording data from various sources such as sensors, databases, or online platforms. In this role, professionals often use tools like data collection software and require skills in data analysis and attention to detail to ensure accurate and reliable data gathering for analysis or decision-making.

What skills are needed for data acquisition?

Data acquisition professionals need strong analytical skills, attention to detail, and proficiency with data collection tools and software such as SQL, Excel, or specialized data management systems. Knowledge of data privacy regulations and the ability to interpret large datasets are also important for effective data gathering and quality assurance.

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

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

What job categories do people searching Data Acquisition jobs in Wisconsin look for?

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

Data Acquisition jobs near you
Infographic showing various Data Acquisition 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 $166,561 per year, or $80.1 per hour.

Manager of Data Science

Cliftonlarsonallen

Hudson, WI

Full-time

Medical, Dental, Vision, Retirement

Re-posted yesterday

CliftonLarsonAllen rating

7.0

Company rating: 7.0 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

21st of 23 rated bookkeepers and accountants

Job description

CLA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.

CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.

CLA is looking to hire a Data Science Director to join our growing Internal IT team.

About the role:

CLA is looking to hire a Manger of Data Science

This role constructs complex solutions that integrate data wrangling, visualization, and advanced modeling techniques into a seamless workflow using software development best practices in R, Python, or other scripting languages. They are comfortable working with APIs, web scraping, and SQL/no-SQL databases. They automate business workflows while integrating stochastic/numeric algorithms in the process. This role will develop more autonomy to develop solutions and will lead others, take on administrative tasks, perform support roles, and get involved in new business development.

As Manager of Data Science, you will have to following responsibilities:

Leadership
  • Provide daytoday leadership, coaching, development, and performance management.
  • Mentor and guide analysts, supporting onboarding, skill development, and continuous learning across career stages.
  • Conduct workload planning, prioritization, and resource allocation to support multiple concurrent initiatives.
  • Build and sustain a highperforming team culture rooted in collaboration, quality, accountability, and innovation.

Technical Oversight

  • Lead and oversee large scale analytical and AI initiatives, including data acquisition, transformation, modeling, AI system development, automation, and insight generation.
  • Provide technical oversight and review of analytical approaches, models, and AI systems to ensure sound methodology, reproducibility, and scientific rigor.
  • Guide the development and application of advanced statistical, machine learning, and AI-driven solutions, including predictive models, computer vision, large language models (LLMs), and agent-based systems.
  • Lead the design and oversight of AI-enabled systems, including prompt engineering strategies, retrieval-augmented generation (RAG), embeddings, and agentic workflows.
  • Establish and evolve analytical and AI best practices, documentation standards, and technical frameworks across the team.
  • Ensure standards for model and AI system validation, monitoring, evaluation, documentation, and responsible AI use are consistently applied.
  • Partner with engineering, IT, and data platform teams to enable scalable, reliable, and well governed solutions.

Workflow Management

  • Own delivery outcomes for data science and AI workstreams, ensuring solutions meet quality, performance, and business expectations.
  • Translate business objectives into clear analytical and AI priorities, balancing near term delivery with long term capability building.
  • Oversee planning, prioritization, and resourcing across projects and teams.
  • Monitor solution performance, validation results, and model or AI system stability; guide troubleshooting of complex data, model, or AI issues.
  • Ensure solutions are productionized effectively, with clear ownership, monitoring, and integration into business workflows.
  • Establish, refine, and enforce standards for documentation, reproducibility, quality assurance, and governance.
  • Remove obstacles, manage risks, and ensure consistent execution across initiatives.

CrossFunctional Collaboration

  • Serve as a primary point of contact for business and functional leaders on analytics and AI initiatives.
  • Partner with stakeholders to define business questions, success metrics, analytical frameworks, and delivery expectations.
  • Coordinate work across teams, offices, and disciplines to ensure alignment of analytical and AI approaches and outcomes.
  • Communicate progress, risks, and results clearly to both technical and non technical audiences.
  • Evaluate and recommend adoption of new data sources, technologies, and analytical and AI tools.
  • Contribute to enterprise level analytics and AI strategy, including identifying high impact use cases and guiding their transition from concept to production.

What you will need:

8 years of relevant experience required.

  • Experience in data analytics, statistics, data science, AI, financial consulting, computer science or related field required.
  • Experience with APIs, web scraping, SQL/no-SQL databases, and cloud-based data solutions required.
  • Supervisory experience required.

Education

Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.

  • Degree in Statistics, Computer Science, Economics, Analytics, Data Science (e.g., Informatics, Data Science, Health Data Science), AI, or related field preferred.
  • Masters in a Data Science/Analytics/AI is a plus

#LI-JH1


Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
Click here to learn about your hiring rights.


Wellness at CLA

To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.


To view a complete list of benefits, click here.


What CliftonLarsonAllen employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

CliftonLarsonAllen logo

About CliftonLarsonAllen

Sourced by ZipRecruiter

CliftonLarsonAllen (CLA) is a leading professional services company based in Minneapolis, MN, US. CLA operates in the accounting industry and offers a broad range of products and services such as wealth advisory, outsourcing, audit, tax, and consulting services. The company was founded in 1953 with a merger between two firms, Clifton Gunderson and LarsonAllen, in 2012. Working in accordance with their mission to create opportunities for clients, people, and communities, they have established a presence across the US, serving privately held businesses, non-profits, and governmental entities. Recognized for their contributions, CLA has received accolades such as the Innovative Firm of the Year award.

Industry

Accounting services

Company size

5,001 - 10,000 Employees

Headquarters location

Minneapolis, MN, US

Year founded

2012

View All CliftonLarsonAllen Jobs

Apply