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Senior Data Engineer Jobs in Milwaukee, WI (NOW HIRING)

Pwc

Data Engineer - Senior Manager

Milwaukee, WI · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Kiongroup

Senior AI Data Engineer

Wauwatosa, WI · On-site

$121K - $151K/yr

We are seeking a highly experienced Senior AI Data Engineer to help transform our Enterprise Data Platform into an AI-native, intelligent platform where AI agents can discover, understand, and ...

Kiongroup

Senior AI Data Engineer

Wauwatosa, WI

$121K - $151K/yr

We are seeking a highly experienced Senior AI Data Engineer to help transform our Enterprise Data Platform into an AI-native, intelligent platform where AI agents can discover, understand, and ...

Generac

Senior Data Architect

Waukesha, WI

$67.25 - $90/hr

As a Senior Data Architect on Generac's Industrial Cloud team , you will play a critical role in ... This role sits at the intersection of architecture, data engineering, and platform strategy-owning ...

Continuus Technologies LLC

Staff Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

Role OverviewThe Staff Data Engineer is a senior technical leader responsible for designing, scaling, and governing the organization's data platform and pipelines. This role sets data engineering ...

Robert W Baird & Co

Data & Analytics Engineer

Milwaukee, WI · Hybrid

$112K - $135K/yr

Implement and test end-to-end data solutions under the guidance of senior engineers * Follow established practices to ensure sensitive data is protected and handled appropriately Analytics Enablement ...

Robert W Baird & Co

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Implement and test end-to-end data solutions under the guidance of senior engineers * Follow established practices to ensure sensitive data is protected and handled appropriately Analytics Enablement ...

Baird

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Implement and test end-to-end data solutions under the guidance of senior engineers * Follow established practices to ensure sensitive data is protected and handled appropriately Analytics Enablement ...

Navanta, LLC

Lead Data Engineer

Grafton, WI · On-site

$112K - $135K/yr

Working under the SVP of Technology and Commercial AI and in close partnership with the AI/ML ... engineering to deliver governed, queryable data products KPIs Data freshness and pipeline ...

Navanta, LLC

Lead Data Engineer

Grafton, WI

$112K - $135K/yr

Working under the SVP of Technology and Commercial AI and in close partnership with the AI/ML ... engineering to deliver governed, queryable data products KPIs Data freshness and pipeline ...

SysLogic, Inc.

Data Analytics Architect

Brookfield, WI · On-site

Eight or more years of professional experience working as a Data Analytics Architect or a Senior Data Integration Developer (Data Engineer) with a primary focus on architecting Microsoft technologies.

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All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Milwaukee, WI

Senior Data Engineer information

See Milwaukee, WI salary details

$79.6K

$124.2K

$172K

How much do senior data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for senior data engineer in Milwaukee, WI is $124,177.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,200.00 and $141,500.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

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

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

What are the most commonly searched types of Data Engineer jobs in Milwaukee, WI?

The most popular types of Data Engineer jobs in Milwaukee, WI are:

What are popular job titles related to Senior Data Engineer jobs in Milwaukee, WI?

For Senior Data Engineer jobs in Milwaukee, WI, the most frequently searched job titles are:

What job categories do people searching Senior Data Engineer jobs in Milwaukee, WI look for?

The top searched job categories for Senior Data Engineer jobs in Milwaukee, WI are:

What cities near Milwaukee, WI are hiring for Senior Data Engineer jobs?

Cities near Milwaukee, WI with the most Senior Data Engineer job openings:

Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Milwaukee, WI as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $124,177 per year, or $59.7 per hour.

Senior Data Platform Engineer

Johnson Controls

Milwaukee, WI • On-site

$100K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago

Johnson Controls rating

8.0

Company rating: 8.0 out of 10

Based on 415 frontline employees who took The Breakroom Quiz

137th of 545 rated manufacturers

Job description

Johnson Controls, a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helps customers use energy more productively, reduce carbon emissions, and operate with the precision and resilience required in rapidly expanding industries such as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education.
For more than 140 years, Johnson Controls has delivered performance where it really matters. Backed by advanced technology, lifecycle services and an industry-leading field organization, we elevate customer performance, turn goals into real-world results and help move society forward.
What we offer:
  • Competitive salary
  • Paid vacation/holidays/sick time
  • Comprehensive benefits package including 401K, medical, dental, and vision care
  • On the job/cross training opportunities
  • Encouraging and collaborative team environment
  • Dedication to safety through our Zero Harm policy

Role Summary
Johnson Controls Inc. are seeking a Senior Data Platform Engineer to design and operate a secure, scalable data platform that powers Workforce Analytics.
This role is focused on enabling high-quality, governed data consumption in Snowflake, with a strong emphasis on secure access patterns for humans, applications, and AI-driven tools.
In addition, this role will own and evolve the Posit (RStudio) platform, ensuring data scientists and advanced analysts have a seamless, secure, and performant environment for developing and operationalizing analytical workflows.
You will work across Data Engineering, Analytics, and Data Integration to ensure data is trusted, protected, and easily consumable across modern use cases.
Key Responsibilities
Secure Consumption Enablement
  • Design and mature secure data access patterns in Snowflake for:

  • Analysts and business users

  • Applications and downstream integrations

  • AI/ML tools and agent-based consumers

  • Implement and evolve RBAC / policy-based access models

  • Define patterns for least-privilege access, scoped datasets, and governed sharing

  • Ensure secure handling of PII and sensitive workforce data

  • Partner with security and governance teams on auditability and compliance

  • Anticipate future access patterns driven by AI and automation

Snowflake Platform & Data Optimization
  • Own and optimize the Snowflake platform (performance, compute strategy, cost management)

  • Design best practices for data organization, modeling layers, and access structures

  • Enable scalable and governed data domains for Workforce Analytics

Posit Platform Ownership (R / Data Science Enablement)
  • Own and manage the Posit (RStudio) platform for Workforce Analytics

  • Ensure secure, performant connectivity between Posit and Snowflake

  • Enable best practices for:

  • Data access within R environments

  • Package and environment management

  • Reproducibility and version control

  • Support operationalization of Python & R-based analytics, models, and workflows

  • Partner with data scientists and advanced analysts to improve platform usability

  • Establish patterns for governed, scalable analytical development

Transformation & Pipeline Enablement
  • Partner with Data Engineers to productionize pipelines using Coalesce.io

  • Define standards for modular, reusable, and testable transformation logic

  • Improve pipeline reliability and maintainability

Data Reliability & Quality
  • Implement and enforce data quality checks and validation frameworks

  • Ensure reliability of critical workforce datasets (headcount, attrition, recruiting)

  • Troubleshoot data issues with strong lineage awareness

CI/CD for Data Workflows
  • Build and maintain CI/CD pipelines for data transformations and platform changes

  • Integrate workflows using Azure DevOps / GitHub

  • Enable consistent deployment practices across environments

Data Developer Experience
  • Improve platform usability for engineers, analysts, and data scientists

  • Create reusable templates and patterns across:

  • Snowflake

  • Coalesce

  • Posit workflows

  • Reduce friction while maintaining governance

Required Qualifications
  • 5+ years in data engineering or data platform engineering

  • Deep experience with Snowflake, including performance tuning and access control

  • Strong SQL and experience working with complex data systems

  • Experience with data transformation tools (Coalesce.io, dbt, or similar)

  • Experience designing data access and security models

  • Experience supporting or working with R / Posit (RStudio) environments

Preferred Qualifications
  • Experience enabling data science platforms or analytical environments

  • Exposure to Workforce / HR data and PII governance

  • Experience supporting multi-modal consumption (BI, APIs, AI/ML tools)

  • Familiarity with Azure ecosystem

  • Experience with data quality and observability tooling

HIRING SALARY RANGE: $100,000-145,000 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.) This role offers a competitive Bonus plan that will take into account individual, group, and corporate performance. This position includes a competitive benefits package. The posted salary range reflects the target compensation for this role. However, we recognize that exceptional candidates may bring unique skills and experiences that exceed the typical profile. If you believe your background warrants consideration beyond the stated range, we encourage you to apply. To support an efficient and fair hiring process, we may use technology assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. For details, please visit the About Us tab on the Johnson Controls Careers site at https://jobs.johnsoncontrols.com/about-us
Johnson Controls International plc. is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, genetic information, sexual orientation, gender identity, status as a qualified individual with a disability or any other characteristic protected by law. To view more information about your equal opportunity and non-discrimination rights as a candidate, visit EEO is the Law. If you are an individual with a disability and you require an accommodation during the application process, please visit here.

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About Johnson Controls

Sourced by ZipRecruiter

Johnson Controls is a world leader in smart buildings, creating safe, healthy and sustainable spaces. For nearly 140 years, we’ve made buildings better and now we’re transforming them again with our award-winning digital technologies and services. We’re using artificial intelligence and data driven solutions to give you deeper insight into your building’s health, sustainability and performance. It’s changing the way we design, operate and maintain indoor environments and driving to a new era of autonomous buildings. We deliver the blueprint of the future for industries such as healthcare, schools, data centers, airports, stadiums, hotels, manufacturing and beyond through OpenBlue, our comprehensive suite of connected solutions. Johnson Controls offers the world’s largest portfolio of building technology, software and services. Supported by a team of more than 100,000 dedicated employees working across 150 countries, we’re helping customers achieve their sustainability goals and power their mission.

Industry

Machinery manufacturing, water transportation, public safety statistics centers and offices and manufacturing

Company size

10,000+ Employees

Headquarters location

Milwaukee, WI, US

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