1

Databricks Software Jobs in Wisconsin (NOW HIRING)

AI Engineer

Milwaukee, WI · On-site

$55K - $187K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Utilizing AI ...

Lead Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Experience with Snowflake, Databricks, or modern lakehouse architectures. * Experience enabling AI/ML workloads and feature engineering pipelines. * Knowledge of data governance, data quality ...

WI · On-site

$104K - $144K/yr

Paradigm is a software company transforming the way that the residential, construction & building ... Databricks, or similar technologies. * Experience in Python programming, ML Framework and Agentic ...

... software teams to analyze biological, production, sensor, and operational data and turn it into ... Use tools such as Python, R, SQL, Databricks, or similar analytics platforms to explore and analyze ...

Senior AI/ML Engineer

Watertown, WI · On-site +1

$99K - $136K/yr

Experience with AWS and/or Databricks. * Experience or exposure to agentic architectures, MCP and AI orchestration frameworks. * Strong software engineering fundamentals and experience building ...

Senior AI/ML Engineer

Madison, WI · On-site

$104K - $143K/yr

Experience with AWS and/or Databricks. * Experience or exposure to agentic architectures, MCP and AI orchestration frameworks. * Strong software engineering fundamentals and experience building ...

Senior AI/ML Engineer

Madison, WI · On-site

$104K - $143K/yr

Experience with AWS and/or Databricks. * Experience or exposure to agentic architectures, MCP and AI orchestration frameworks. * Strong software engineering fundamentals and experience building ...

Senior AI/ML Engineer

Watertown, WI · On-site +1

$99K - $136K/yr

Experience with AWS and/or Databricks. * Experience or exposure to agentic architectures, MCP and AI orchestration frameworks. * Strong software engineering fundamentals and experience building ...

... software teams to analyze biological, production, sensor, and operational data and turn it into ... Use tools such as Python, R, SQL, Databricks, or similar analytics platforms to explore and analyze ...

Senior AI/ML Engineer

Madison, WI · On-site

$104K - $143K/yr

Experience with AWS and/or Databricks. * Experience or exposure to agentic architectures, MCP and AI orchestration frameworks. * Strong software engineering fundamentals and experience building ...

... software teams to analyze biological, production, sensor, and operational data and turn it into ... Use tools such as Python, R, SQL, Databricks, or similar analytics platforms to explore and analyze ...

... software teams to analyze biological, production, sensor, and operational data and turn it into ... Use tools such as Python, R, SQL, Databricks, or similar analytics platforms to explore and analyze ...

... software teams to analyze biological, production, sensor, and operational data and turn it into ... Use tools such as Python, R, SQL, Databricks, or similar analytics platforms to explore and analyze ...

WI · On-site

$111K - $134K/yr

... databases, software development, systems testing, STIG Compliance training, closed-circuit ... Databricks and/or Snowflake certifications Knowledge, Skills, and Abilities: * Strong hands‑on ...

WI · On-site

... Databricks, Snowflake, Microsoft Fabric, Azure Data Services, or AWS Data Services including ... Strong software engineering foundations: proficient with Git, Python, and SQL; you write clean ...

Showing results 41-60

Databricks Software information

What is Databricks software?

Databricks Software is a unified analytics platform built on Apache Spark that provides tools for big data processing, machine learning, and collaborative data science. It enables organizations to store, manage, and analyze large datasets efficiently, supporting both batch and streaming data workloads. Databricks also offers collaborative notebooks, automated workflows, and integrations with cloud storage and data lakes, making it a popular choice for data engineering, data science, and business analytics teams.

What are the key skills and qualifications needed to thrive as a Databricks software engineer, and why are they important?

To thrive as a Databricks Software Engineer, you need strong programming skills in languages like Python, Scala, or Java, as well as a solid understanding of distributed computing and data engineering concepts. Familiarity with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valued. Excellent problem-solving abilities, collaboration, and effective communication are important soft skills for this role. These skills ensure efficient development, deployment, and optimization of big data solutions that drive business insights and innovation.

What are some common challenges faced by Databricks software engineers, and how can they be overcome?

Databricks Software Engineers often encounter challenges related to scaling big data pipelines, optimizing Spark workloads, and integrating diverse data sources. Navigating the complexity of distributed systems and managing cloud infrastructure can be demanding, especially when ensuring data reliability and security. To overcome these challenges, engineers typically collaborate closely with data scientists, DevOps, and platform teams, leverage Databricks' extensive documentation and community support, and adopt best practices such as version control and continuous integration. Regular knowledge sharing and staying updated with new features also help engineers succeed in this dynamic environment.

What is the difference between Databricks Software vs Data Engineer?

AspectDatabricks SoftwareData Engineer
Primary RolePlatform for data analytics and machine learningBuilds, maintains data pipelines and infrastructure
Required SkillsSQL, Spark, cloud platforms, data science basicsSQL, ETL, programming (Python, Scala), database management
Work EnvironmentCloud-based, collaborative data platformData teams, cloud or on-premises environments
CertificationsDatabricks certifications, cloud certificationsNone specific, often cloud or data certifications

While Databricks Software provides a platform for data analytics and machine learning, Data Engineers focus on building and maintaining data pipelines and infrastructure. Both roles often work together but have distinct responsibilities and skill sets within the data ecosystem.

What are popular job titles related to Databricks Software jobs in Wisconsin?

For Databricks Software jobs in Wisconsin, the most frequently searched job titles are:

Infographic showing various Databricks Software job openings in Wisconsin as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

AI Engineer

Milwaukee, WI • On-site

Pwc
Finance and Insurance • 10K+ employees

$55K - $187K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz


Job description

Industry/Sector

Not Applicable

Specialism

IFS - Information Technology (IT)

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As an AI Engineer, you will be at the forefront of transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Internal Firm Services practice, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. As a Senior Associate, you will leverage your skills to analyze complex problems, mentor others, and maintain professional standards. You will focus on building relationships and developing a deeper understanding of the business context, learning how to manage and inspire others.
In this role, you will design AI systems, engage in data wrangling, and implement software to make AI models useful and scalable. You will be expected to anticipate the needs of your teams and stakeholders, delivering quality solutions while navigating increasingly complex situations. Embracing ambiguity, you will use these moments as opportunities for growth, asking questions and developing your personal brand. This position offers a chance to deepen your technical skills and contribute to the firm's overall business strategies.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Developing scalable machine learning models using Python and TensorFlow
- Integrating data from diverse sources to support AI and machine learning solutions
- Conducting complex data analysis to identify patterns and trends for informed decision-making
- Collaborating with internal teams to enhance data infrastructure and integration processes
- Utilizing natural language processing techniques to improve text analytics and sentiment analysis
- Applying deep learning and neural network methodologies to optimize AI model performance
- Managing data pipelines to validate efficient data flow and processing
- Building and maintaining relationships with stakeholders to align AI initiatives with business objectives
- Mentoring junior team members in AI implementation and data engineering practices
What You Must Have
- At least a Bachelor's degree or, in lieu of a degree, demonstrating in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in Engineering with AI and Machine Learning for each missing year of college is required
- At least 2 years of experience
What Sets You Apart
- In at least one of the following fields of study: Computer and Information Science, Computer Engineering, Computer Management, Management Information Systems, Information Technology
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Utilizing AI implementation and machine learning libraries
- Excelling in complex data analysis and data modeling
- Demonstrating proficiency in Python and TensorFlow
- Navigating ambiguity with critical thinking and problem-solving
- Building meaningful client connections and managing relationships

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $55,000 - $151,470. For residents of Washington state the salary range for this position is: $55,000 - $187,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


pwc logo

About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK