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Databricks Data Engineer Jobs in Wisconsin (NOW HIRING)

Data Architect

Milwaukee, WI · On-site

$62.75 - $80.75/hr

... in Data Engineering / Data Architecture * Strong data modeling (Dimensional / Data Vault ... Familiarity with Databricks, Snowflake, Synapse, or similar platforms * Familiarity with AI/ML or ...

New

Data Architect

Milwaukee, WI · On-site

$62.75 - $80.50/hr

Required : • 10+ years in Data Engineering / Data Architecture • Strong data modeling ... Databricks, Snowflake, Synapse, or similar platforms • Familiarity with AI/ML or advanced ...

New

$211K - $246K/yr

Define the data engineering and analytics roadmap, aligned with company goals. This includes ... Hands-on experience with tools such as Snowflake, BigQuery, Redshift, Databricks, dbt, Airflow ...

Data Architect

Fond Du Lac, WI · On-site

$62.75 - $80.75/hr

Works with data engineering and Agile teams to ensure architecture is implemented effectively ... Experience with cloud data platforms, (Azure Synapse, Data Factory, Fabric, Databricks, etc.

New

Data Architect

North Fond Du Lac, WI · On-site

$62.75 - $80.75/hr

Works with data engineering and Agile teams to ensure architecture is implemented effectively ... Experience with cloud data platforms, (Azure Synapse, Data Factory, Fabric, Databricks, etc.

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Databricks Data Engineer information

See Wisconsin salary details

$44.9K

$130.9K

$179.2K

How much do databricks data engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for databricks data engineer 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 is a Databricks Data Engineer job?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a typical day look like for a Databricks Data Engineer?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

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

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

What are the most commonly searched types of Databricks Data Engineer jobs in Wisconsin? The most popular types of Databricks Data Engineer jobs in Wisconsin are:
What are popular job titles related to Databricks Data Engineer jobs in Wisconsin? For Databricks Data Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Databricks Data Engineer jobs in Wisconsin look for? The top searched job categories for Databricks Data Engineer jobs in Wisconsin are:
Infographic showing various Databricks Data Engineer job openings in Wisconsin as of June 2026, with employment types broken down into 1% Internship, 2% As Needed, 81% Full Time, 5% Part Time, and 11% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $130,930 per year, or $62.9 per hour.
Managed Services - Data Engineer (Databricks & Kafka) - Manager

Managed Services - Data Engineer (Databricks & Kafka) - Manager

Pwc

Milwaukee, WI • On-site

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 hours ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

20th of 57 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Manager

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Analyse and identify the linkages and interactions between the component parts of an entire system.
Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
Develop skills outside your comfort zone, and encourage others to do the same.
Effectively mentor others.
Use the review of work as an opportunity to deepen the expertise of team members.
Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Managed Data, Analytics & Insights team you manage and lead projects related to building the modern data ecosystem and converting insights into strategic opportunities. As a Manager you lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are responsible for project success, maintaining top standards, and leveraging team strengths to deliver on client expectations.
Responsibilities
- Manage and lead projects related to building modern data ecosystems
- Convert insights into strategic opportunities
- Lead teams and manage client accounts
- Focus on strategic planning and mentoring junior staff
- Maintain project success and uphold rigorous standards
- Leverage team strengths to meet client expectations
- Develop and implement impactful data strategies
- Foster a collaborative and top-performance team environment
What You Must Have
- Bachelor's Degree
- 10 years of experience in data and analytics management with at least 8 years of experience of leading various data and analytics program/initiatives of large sizes with 3 years experience managing and delivering Managed Data and Analytics programs (Managed services and Managed assets)
What Sets You Apart
- Bachelor's Degree in Information Technology, Computer and Information Science preferred
- PMP certification or accredited scrum master
- Experience with ITIL processes
- Leading Data & Analytics projects
- Designing and delivering Data processing activities
- Leading discussions for large transformation initiatives
- Managing risks and issues related to Data and Analytics
- Identifying new opportunities for growth
- Leading cloud scale development efforts

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. 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

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