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Big Data Analytics Jobs in Wisconsin (NOW HIRING)

KOHLS

Senior Data Engineer (Remote)

Menomonee Falls, WI · On-site

$123K - $162K/yr

... and analytics optimization within BigQuery or equivalent platforms. * Apply modern Test-Driven Development (TDD) methodologies for big data pipelines, ensuring test automation across Airflow ...

Koantek

Enterprise Data Architect

Milwaukee, WI · On-site

... analyzing, implementing, and deploying these solutions both on-premises and in the cloud. By collaborating with diverse business teams and utilizing extensive knowledge of big data tools and products ...

Sonoma Consulting Inc.

Informatica Developer

Milwaukee, WI · On-site

$52.50 - $69/hr

... sources, Big data appliances, RDBMS, etc. - Experience with database and SQL queries - Analyze and interpret all complex data & business rules on all target systems and analyze and provide ...

Core BTS

GCP Data Engineer

Appleton, WI · On-site

$75 - $80/hr

... data analytics solutions. · Understands business problems and processes based on direct conversations with clients, can see the big picture, and translate that into specific solutions. · ...

Stellix

Senior Data Engineer III

Foxboro, WI · On-site

$130K - $160K/yr

The Position We are seeking a Senior Data Engineer to join our growing Enterprise Data & Analytics ... Strong experience with database/big data technologies such as Oracle, SQL Server, Teradata, Apache ...

DR Power LLP

Analytics Engineer II, Marketing

Waukesha, WI · On-site

$85 - $110/hr

For more than 65 years, we've turned big ideas into solutions that help protect homes, strengthen ... The role blends the rigor of data science with the practicality of engineering and business ...

New

Angelo State University

WI · On-site

$75 - $110/hr

Provide strategic information analysis and decision support by identifying gaps and outliers in data as projects are being created, updated, or analyzed. * Proactively identify data issues, propose ...

Maxonic

Be Seen First

Quality Inspector INT

Sturtevant, WI · On-site

$26/hr

Staff Augmentation Professional Services - Artificial Intelligence, Big Data Analytics, Mobile Solutions, and Cloud Solutions Outsourced Services, Administration and Support Contingent Workforce ...

New

Tiger Analytics

WI · On-site

$140 - $220/hr

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for ...

FIS

Data Scientist

Milwaukee, WI · On-site

... analytics, and data science solutions within the Payments, Banking, or Financial Services industry. * Strong proficiency in Python and SQL; experience with big data technologies such as Spark ...

Worldpay, Inc.

Data Scientist

Milwaukee, WI · On-site

... analytics, and data science solutions within the Payments, Banking, or Financial Services industry. * Strong proficiency in Python and SQL; experience with big data technologies such as Spark ...

Generac

Marketing Analytics Engineer II

Waukesha, WI · On-site

For more than 65 years, we've turned big ideas into solutions that help protect homes, strengthen ... The role blends the rigor of data science with the practicality of engineering and business ...

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How much do big data analytics jobs pay per hour?

As of Sep 3, 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 is a big data analytics?

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 does a big data analytics professional do?

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 for big data analytics?

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.

Is big data analytics a good career?

Big Data Analytics is a growing field with high demand for professionals skilled in data mining, statistical analysis, and tools like Hadoop and Spark. It offers competitive salaries, opportunities across various industries, and requires continuous learning of new technologies and programming languages such as Python or R.

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:

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

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

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

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

Big Data Analytics jobs near you
Infographic showing various Big Data Analytics 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 $124,362 per year, or $59.8 per hour.

Senior Data Engineer (Remote)

KOHLS

Menomonee Falls, WI • On-site

$123K - $162K/yr

Other

Re-posted 9 days ago

Key responsibilities

  • Develop, automate, and maintain batch and streaming ETL pipelines using Apache Airflow, Apache Spark, Python, and Scala.

  • Build and manage cloud-based data ecosystems on GCP, including designing and optimizing data models and writing complex SQL queries.

  • Collaborate with stakeholders and engineering teams to deliver trusted, documented, and reusable data products.

Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,474 frontline employees who took The Breakroom Quiz

13th of 21 rated department stores

Job description

About the Role

As Senior Software Engineer, you will collaborate closely with design, product and engineering experts to tackle real-world challenges and deliver innovative solutions that elevate Kohl’s retail offerings. 

What You’ll Do

  • Lead the development of high-quality applications that are robust, observable and measurable using extreme programming (XP) practices and a user-centric approach

  • Participate in the entire application lifecycle in collaboration with designers, product managers, and other engineers on the product team

  • Leverage critical thinking, experimentation, data, and industry best practices to implement desired business outcomes

  • Facilitate group discussions and team ceremonies and develop a shared context

  • Give and receive feedback that’s empathetic, actionable and specific

  • Practice emergent architecture with sane defaults and build software that is easy to use and easy to modify

  • Establish and lead product engineering and software standards

  • Ideate a new product from a user perspective, starting with one or more problem spaces and ending with a stack-ranked list of feasible solutions to test

  • Research and stay up to date on tech market trends and practices

  • Lead technical initiatives not only on the team but also across the department

  • Additional tasks may be assigned

Addendum

SENIOR BIG DATA SOFTWARE ENGINEER

  • Develop, automate, and maintain batch and streaming ETL pipelines using Apache Airflow, Apache Spark, Python, and Scala.

  • Build and manage cloud-based data ecosystems on GCP (BigQuery, Bigtable, Dataproc, Pub/Sub, Cloud Storage, IAM, VPC).

  • Design and optimize SQL and NoSQL data models for data lakes and warehouses (BigQuery, MongoDB, Snowflake).

  • Write complex SQL queries for advanced data transformation, aggregation, and analytics optimization within BigQuery or equivalent platforms.

  • Apply modern Test-Driven Development (TDD) methodologies for big data pipelines, ensuring test automation across Airflow workflows, Spark jobs, and transformation logic.

  • Apply data mesh and data-as-a-product principles to enable reusable and domain-driven datasets.

  • Implement real time ingestion with Kafka Connect and process streaming data using Spark Streaming, Apache Flink, or similar technologies

  • Optimize data performance, scalability, and cost efficiency across GCP components.

  • Ensure compliance with PCI and PII data with standards such as GDPR, PCI DSS, SOX, and CCPA.

  • Integrate GenAI tools such as OpenAI, Gemini, and Anthropic LLMs for intelligent data quality and analytics enhancement.

  • Collaborate with stakeholders, data scientists, and full stack engineers to deliver trusted, documented, and reusable data products

What Skills You Have

Required

  • 4+ years of experience in software development

  • Understanding of application design patterns, event-driven architecture, database, schemas and testing strategies

  • In-depth knowledge and experience with continuous integration, continuous deployment and test-driven development

Preferred

  • Bachelor's Degree or equivalent in MIS, Computer Science or related field

  • Experience with large-scale application troubleshooting and performance tuning

  • Exposure working with major cloud platforms (GCP, AWS, or Azure)

  • Familiarity and experience with XP (Extreme Programming) 

What Kohl's employees say

Pay

Benefits

Hours and flexibility

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