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Databricks Engineer Jobs in Milwaukee, WI (NOW HIRING)

US Bank

Technology Architect

Brookfield, WI

Collaborate with product owners, engineering teams, and enterprise architects to ensure alignment ... and Databricks. * Familiarity with building AI-enabled applications using AWS services (e.g ...

US Bank

Technology Architect

Brookfield, WI

Collaborate with product owners, engineering teams, and enterprise architects to ensure alignment ... and Databricks. * Familiarity with building AI-enabled applications using AWS services (e.g ...

Pwc

AI & GenAI Data Scientist - Manager

Milwaukee, WI

$99K - $232K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials ...

FocusKPI

Marketing Operations Analyst

Milwaukee, WI

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

FocusKPI

Marketing Operations Analyst

Racine, WI

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

FocusKPI

Marketing Operations Analyst

Kenosha, WI

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

Pwc

Data Strategy-Senior Manager

Milwaukee, WI · On-site

$124K - $280K/yr

... Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $124,000 - $280,000. Actual compensation within the ...

Pwc

Data Strategy-Manager

Milwaukee, WI

$99K - $232K/yr

... Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in defining data governance frameworks - Understanding of modern cloud data ...

Pwc

Data Governance- Manager

Milwaukee, WI

$99K - $232K/yr

... Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $99,000 - $232,000. Actual compensation within the ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Milwaukee, WI

Databricks Engineer information

See Milwaukee, WI salary details

$58.6K

$110K

$200K

How much do databricks engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for databricks engineer in Milwaukee, WI is $109,984.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,300.00 and $130,500.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and specialized roles like Databricks Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Compensation often includes base salary, bonuses, and stock options, particularly in large tech companies or startups with significant funding.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Engineer can be competitive, as the role requires strong skills in big data technologies, cloud platforms, and programming languages like Python or Scala. Candidates often need relevant experience, certifications, and a solid understanding of data engineering concepts to succeed in the hiring process.

What is the salary of engineer in Databricks?

The salary of a Databricks Engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data engineering may earn higher compensation. Salaries can also vary based on company size and industry demand.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong career choice with good job prospects.

What are some common challenges faced by Databricks Engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

What is a Databricks Engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

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

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.
What are popular job titles related to Databricks Engineer jobs in Milwaukee, WI? For Databricks Engineer jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Milwaukee, WI look for? The top searched job categories for Databricks Engineer jobs in Milwaukee, WI are:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Milwaukee, WI as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $109,984 per year, or $52.9 per hour.
Senior Manager, Data Analytics

Senior Manager, Data Analytics

Rockwell Automation, Inc.

Milwaukee, WI • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago

Rockwell Automation rating

7.9

Company rating: 7.9 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

158th of 418 rated machine equipment manufacturers

Job description

Rockwell Automation is a global technology leader focused on helping the world's manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better.
We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that's you we would love to have you join us!
Job Description
The Senior Manager, Data Analytics leads the global Supply Chain analytics function to deliver trusted KPI reporting, executive insights, and AI-enabled decision support across the end-to-end supply chain. This role blends people leadership, hands-on analytics expertise, and strategic influence-owning the analytics roadmap and ongoing prioritization, building scalable Power BI and Power Platform solutions, and partnering closely with Supply Chain leaders and IT to turn data into insight, action, and value.
You will work a hybrid schedule at our facility in Milwaukee, WI and report to the Senior Director, Digital Transformation.
Your Responsibilities:
  • Own the analytics portfolio: Define and maintain the analytics roadmap, manage global demand intake and prioritization, and deliver a focused set of high-value dashboards and analyses aligned to Supply Chain priorities.
  • Executive partnership & influence: Translate VP- and Director-level business needs into clear, actionable outcomes; act as a trusted analytics advisor to senior Supply Chain leaders.
  • Deliver executive-ready insights: Produce clear KPI narratives and decision materials for operating rhythms (e.g., weekly and monthly performance reviews), translating complex data into actionable insights.
  • Global supply chain performance analytics: Drive visibility and analysis across supply chain domains (service, inventory, demand/supply performance, logistics and distribution), including root-cause and variance analysis.
  • Standardize KPIs and governance: Establish and maintain KPI definitions, data quality controls, refresh reliability, and documentation to ensure consistent and trusted global reporting.
  • Scale Power BI and self-service analytics: Lead development of Power BI semantic models, dashboards, and reporting standards; enable self-service through templates, training, and governance.
  • Partner on modern data platforms: Work closely with IT and data engineering teams to translate analytics requirements into curated, analytics-ready datasets using modern data platforms (e.g., Databricks).
  • Apply AI to analytics (practical, business-first): Identify and implement AI-enabled analytics capabilities such as anomaly detection, intelligent alerts, automated insight generation, and guided root-cause exploration, focused on measurable business impact.
  • Govern data, BI and AI usage: Develop and maintain data and analytics governance practices across ISC, including appropriate use of AI within analytics workflows.
  • Lead and develop talent: Lead, coach, and develop a high-performing global team of analysts and BI developers; own performance management, capability building, and engagement.
  • Drive adoption and value realization: Influence across functions to ensure analytics products are adopted, understood, and delivering tangible business value; reduce manual reporting through automation and rationalization.

The Essentials - You Will Have:
  • Bachelor's Degree or Equivalent Years of Relevant Work Experience.
  • Legal authorization to work in the U.S. We will not sponsor individuals for employment visas, now or in the future, for this job opening.

The Preferred - You Might Also Have:
  • Typically requires a minimum of 8 years management experience.
  • Bachelor's degree in engineering, data science, or business-related field.
  • 8+ years of experience in data analytics, BI, or data-driven roles with progressive responsibility, including people leadership.
  • Strong experience building and operationalizing Power BI dashboards, metrics, and reporting for business stakeholders.
  • Working knowledge of modern data environments and transformations (e.g., SQL-based data preparation, curated datasets, data pipelines), including exposure to platforms such as Databricks.
  • Proven ability to communicate complex data insights clearly and influence decisions with stakeholders at multiple levels.
  • Supply Chain analytics experience (planning, inventory, sourcing, logistics, distribution, cost-to-serve, etc.).
  • Experience enabling self-service analytics and/or standard KPI frameworks across global organizations.
  • Familiarity with Microsoft Power Platform beyond Power BI (Power Apps and Power Automate) to streamline analytics workflows.
  • Experience leveraging AI capabilities in data analytics, such as AI-assisted insight generation, anomaly detection, intelligent alerts, automated narrative summaries, or similar applied AI use cases.

What We Offer:
  • Health Insurance including Medical, Dental and Vision
  • 401k
  • Paid Time off
  • Parental and Caregiver Leave
  • Flexible Work Schedule where you will work with your manager to enjoy a work schedule that can be flexible with your personal life.
  • To learn more about our benefits package, please visit at www.raquickfind.com.

At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right person for this or other roles.
This position is part of a job family. Experience will be the determining factor for position level and compensation.
#LI-Hybrid
#LI-JF1
#LifeAtRok
We are an Equal Opportunity Employer including disability and veterans.
If you are an individual with a disability and you need assistance or a reasonable accommodation during the application process, please contact our services team at +1 (844) 404-7247.
Rockwell Automation's hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.

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About Rockwell Automation

Sourced by ZipRecruiter

Rockwell Automation is a global technology leader focused on helping the world's manufacturers be more productive, sustainable, and agile. With more than 25,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better.

Industry

Industrial automation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Milwaukee, WI, US

Year founded

1903

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