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Big Data Analytics Jobs in Wisconsin (NOW HIRING)

Big Data Engineer, Senior

Milwaukee, WI · On-site

$55 - $72.75/hr

Big Data Engineer, Senior EMPLOYER: Fiserv Solutions, LLC LOCATION: Milwaukee, WI (and various ... Work closely with developers, analysts, and client-facing teams to gather requirements ...

Devise and apply models and algorithms to mine the stores of big data * Analyzing the data to ... Identify the data-analytics problems that offerthe greatest opportunitiesto the organization ...

Onsite Position Join Komatsu and Be Part of Something Big! Job Overview Komatsu is committed to leveraging data and analytics, business intelligence, and emerging technologies to fuel business growth ...

Onsite Position Join Komatsu and Be Part of Something Big! Job Overview Komatsu is committed to leveraging data and analytics, business intelligence, and emerging technologies to fuel business growth ...

AWS Data Architect

Neenah, WI · On-site

$64.50 - $82.75/hr

... analytics and business intelligence . The ideal candidate will bring deep expertise in AWS cloud services, data modeling, data lakes, ETL/ELT pipelines, and big data ecosystems , and will work ...

Data Architect

Racine, WI · On-site

$59.75 - $77/hr

... analysis , reporting and visualization of data from data warehouse using any one tool like(PowerBI, Tableau, D3 etc) 2. Design and implement any one of cloud big data solution (AWS/AZURE/GCP/Apache ...

Data & Analytics Engineer

Milwaukee, WI · Hybrid

$112K - $135K/yr

As Baird continues to invest in data as a strategic asset, we are adding a Data & Analytics Engineer to our growing IT Data Team. In this role, you'll play a meaningful part in shaping how financial ...

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

As Baird continues to invest in data as a strategic asset, we are adding a Data & Analytics Engineer to our growing IT Data Team. In this role, you'll play a meaningful part in shaping how financial ...

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

As Baird continues to invest in data as a strategic asset, we are adding a Data & Analytics Engineer to our growing IT Data Team. In this role, you'll play a meaningful part in shaping how financial ...

We are seeking a Data Analytics Engineer for a 6 month contract-to-hire role with a financial services company renowned for being ranked as one of the best companies to work for. The role requires a ...

AWS Data Architect

Neenah, WI · On-site

$64.50 - $82.75/hr

... analytics and business intelligence. The ideal candidate will have strong expertise in AWS services, data modeling, data lakes, ETL pipelines, and modern big data ecosystems. Open to candidates ...

... with big data engineering tools - Proficiency in SQL and data visualization tools - Experience in designing advanced analytics solutions - Coaching and collaborating with team members Travel ...

... analytical solutions leveraging data science, data engineering and decision science to provide ... Qualifications Spark, Hadoop, Big Data, MIgration, Troubleshooting Additional Information Thanks ...

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Big Data Analytics information

See Wisconsin salary details

$57

$59

$60

How much do big data analytics jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for big data analytics in Wisconsin is $59.79, according to ZipRecruiter salary data. Most workers in this role earn between $59.18 and $60.43 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of a Big Data Analytics professional?

A Big Data Analytics professional typically spends their day collecting, cleaning, and organizing large datasets, designing and running data models, and interpreting trends to generate actionable insights for business stakeholders. They may collaborate closely with data engineers, data scientists, and business analysts to ensure data quality and relevance. Regular tasks also include creating data visualizations, preparing reports, and presenting findings to both technical and non-technical teams. Working in this field often involves keeping up-to-date with new technologies and methods to optimize and streamline analytics processes.

What are the key skills and qualifications needed to thrive in the Big Data Analytics position, and why are they important?

To excel in Big Data Analytics, professionals need strong analytical abilities, proficiency in data modeling, statistics, and a solid foundation in computer science or mathematics, often supported by a relevant degree. Experience with tools like Hadoop, Spark, SQL, and familiarity with programming languages such as Python or R—as well as certifications in big data technologies—are highly valued. Critical thinking, effective communication, and problem-solving skills help in translating complex data into actionable business insights. These capabilities are crucial for handling large datasets, deriving meaningful conclusions, and supporting organizational decision-making.

What is a Big Data Analytics job?

A Big Data Analytics job involves analyzing large and complex datasets to extract meaningful insights, trends, and patterns that help businesses make data-driven decisions. Professionals in this field use tools like Hadoop, Spark, SQL, and machine learning algorithms to process and interpret data. Responsibilities may include data mining, predictive modeling, and creating visualizations to communicate findings effectively. These roles are in high demand across industries like finance, healthcare, e-commerce, and technology. Strong analytical skills, programming knowledge, and an understanding of data infrastructure are essential for success in this field.

What are the most commonly searched types of Big Data Analytics jobs in Wisconsin? The most popular types of Big Data Analytics jobs in Wisconsin are:
Infographic showing various Big Data Analytics job openings in Wisconsin as of July 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $124,362 per year, or $59.8 per hour.
Big Data/ Hadoop with AWS Cloud and Spark Experience

Big Data/ Hadoop with AWS Cloud and Spark Experience

TestingXperts

Madison, WI

$55 - $60/hr

Contractor

Posted 26 days ago


Job description

Company Description

We are directly work with Infosys.

Established in 1981, Infosys is a NYSE listed global consulting and IT services company with more than 198,000 employees. From a capital of US$ 250, we have grown to become a US$ 10.4 billion (LTM Q1 FY 18 revenues) company with a market capitalization of approximately US$ 34.50 billion.

In our journey of over 35 years, we have catalyzed some of the major changes that have led to India's emergence as the global destination for software services talent. We pioneered the Global Delivery Model and became the first IT Company from India to be listed on NASDAQ. Our employee stock options program created some of India's first salaried millionaires.

Read more about the defining moments in the history of Infosys.

Job Description

Hi

Hope you are doing great,

This is Siva Maddineni, currently we are looking for a Big Data || Madison WI (Only GC's or USC's)

At the time of Submission, I need VISA and ID proof.

Check with your consultants before submitting me. If they are comfortable with this requirement then only forward me.

Client: Infosys

Title: Big Data

Location: Madison WI (Only GC's or USC's)

Duration: 6 Months

Experience Need: Min 9+ yrs

Rate: $55-60/hr on w2

Job Description:

Must Have Skills:
1. AWS cloud
2. Big Data Hadoop
3. Spark
4. HBase
5. Azure
Detailed Job Description:
Responsible for architecting, designing and developing cloud infrastructure and applications. Provide operational and technical expertise to initiatives for the Big Data analytics platform, data and applications, addressing a broad range of technologies including Big Data Hadoop, Spark, Kafka, HBase, Cassandra, Eslatic Search on Linux hosted on Azure or AWS cloud.
Top 3 responsibilities you would expect the Subcon to shoulder and execute*:
1. Responsible for architecting, designing and developing cloud infrastructure and applications
2. Provide operational and technical expertise to initiatives for the Big Data analytics platform, data and applications, addressing a broad range of technologies including Big Data Hadoop, Spark, Kafka, HBase, Cassandra, Eslatic Search on Linux hosted on Azure or AWS cloud.
3. Researching, architecting, designing and deploying new tools, frameworks and patterns to build a sustainable big data platform.

Additional Information

All your information will be kept confidential according to EEO guidelines.