1

Senior Data Engineer Manager Jobs in Wisconsin (NOW HIRING)

Senior Data Integration Engineer

Milwaukee, WI · On-site

$100K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Johnson Controls, a global leader in thermal management, mission-critical building systems, energy ... Dedication to safety through our Zero Harm policy Senior Data Integration Engineer - Workforce ...

Senior Data Engineer

Madison, WI · On-site

$106K - $145K/yr

Python (PySpark preferred) Data Platforms / Storage * Cloud data platforms (Azure preferred; AWS/GCP acceptable) * Azure Data Lake Storage Gen2 (ADLS Gen2) or equivalent * Object storage-based data ...

Data Engineer - Senior Manager

Milwaukee, WI · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

The Senior Data Modeler leads collaboration with data architects, data engineers, and business ... Qualifications Bachelor's degree required in computer science, management information systems, or ...

Senior Data Scientist

Madison, WI

  • Medical

  • Life

  • Retirement

  • PTO

The Senior Data Scientist will support clinical correlation data modeling, which includes working with data engineers to assess data quality of incoming assay and clinical data, developing bootstraps ...

Data Engineer - Senior Associate

Milwaukee, WI · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

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 ... managed, governed, and consumed. * Build the data intelligence foundation required for AI systems ...

We are seeking a highly experienced Senior AI Data Engineer to help transform our Enterprise Data ... managed, governed, and consumed. * Build the data intelligence foundation required for AI systems ...

... management. You will work with clients to translate emerging AI technologies, regulatory ... Partner with business, product, data, engineering, architecture, cybersecurity, legal, privacy ...

New

$211K - $246K/yr

... Sr. Data/Analytics Engineers. * Data leadership experience: Proven experience managing data engineering, analytics engineering, BI, or analytics teams, including hiring, coaching, performance ...

... management of forgings, automated characterization methods, and design and improvement of ... S. degree in Engineering, Computer Science, or related field * Experience in deep learning ...

New

... management of forgings, automated characterization methods, and design and improvement of ... S. degree in Engineering, Computer Science, or related field * Experience in deep learning ...

New

... management of forgings, automated characterization methods, and design and improvement of ... S. degree in Engineering, Computer Science, or related field * Experience in deep learning ...

New

Data Engineer - Senior Associate

Milwaukee, WI · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Showing results 21-40

Senior Data Engineer Manager information

What does a Senior Data Engineer Manager do?

A Senior Data Engineer Manager oversees teams of data engineers responsible for designing, building, and maintaining an organization’s data infrastructure. They develop strategies for data architecture, ensure the quality and security of data systems, and collaborate with other departments to meet business goals. In addition to technical responsibilities, they manage team performance, provide mentorship, and align data initiatives with company objectives.

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

AspectSenior Data Engineer ManagerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often leadership experienceBachelor's in CS, Data Science, or related
Work EnvironmentLeads teams, manages projects, strategic planningDevelops data pipelines, coding, data modeling
Industry UsageCommon in organizations with large data teamsEntry to mid-level roles in data teams

The Senior Data Engineer Manager oversees data engineering teams and projects, focusing on leadership and strategy, while Data Engineers primarily build and maintain data pipelines and infrastructure. The managerial role requires leadership skills and experience, whereas Data Engineers focus on technical execution.

What are the key skills and qualifications needed to thrive as a Senior Data Engineer Manager?

To thrive as a Senior Data Engineer Manager, you need deep expertise in data engineering, architecture, and leadership, typically backed by a degree in computer science or a related field and several years of experience. Proficiency with big data tools (such as Hadoop, Spark, Kafka), cloud platforms (AWS, Azure, or GCP), and data pipeline orchestration systems is essential, and certifications in these technologies can be advantageous. Exceptional communication, team management, and strategic thinking skills help you lead teams and align data solutions with business goals. These skills and qualities are vital for building scalable data infrastructure, fostering high-performing teams, and delivering actionable insights to drive organizational success.

What are some common challenges that Senior Data Engineer Managers face when leading data teams?

Senior Data Engineer Managers often encounter challenges in balancing strategic oversight with hands-on technical leadership. Managing cross-functional teams means coordinating efforts across data engineering, analytics, and business stakeholders, which can lead to complex communication and prioritization issues. Additionally, overseeing large-scale data infrastructure projects requires staying updated on evolving technologies while ensuring data quality and security. Effective delegation, fostering team growth, and aligning technical solutions with business goals are key to overcoming these challenges.
What are the most commonly searched types of Senior Data Engineer jobs in Wisconsin? The most popular types of Senior Data Engineer jobs in Wisconsin are:
What are popular job titles related to Senior Data Engineer Manager jobs in Wisconsin? For Senior Data Engineer Manager jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineer Manager jobs in Wisconsin look for? The top searched job categories for Senior Data Engineer Manager jobs in Wisconsin are:
What cities in Wisconsin are hiring for Senior Data Engineer Manager jobs? Cities in Wisconsin with the most Senior Data Engineer Manager job openings:
Infographic showing various Senior Data Engineer Manager job openings in Wisconsin as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Senior Data Integration Engineer

Johnson Controls

Milwaukee, WI • On-site

$100K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


Johnson Controls rating

8.0

Company rating: 8.0 out of 10

Based on 407 frontline employees who took The Breakroom Quiz

136th of 538 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, lifecycleservicesand an industry-leading field organization, we elevate customer performance, turn goals into real-worldresultsand 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

Senior Data Integration Engineer - Workforce Analytics

Role Summary

We are seeking a Senior Data Integration Engineer to design, build, and operate scalable data ingestion pipelines that power Workforce Analytics.

This role is responsible for acquiring and standardizing data from enterprise systems-especially Workday-into the data platform, using tools such as Fivetran, APIs, and file-based integrations. You will ensure that source data is ingested accurately, reliably, and efficiently to support downstream modeling, analytics, and secure consumption.

You will work closely with Data Platform, Data Engineering, and HR systems teams to ensure data is timely, complete, and production-ready.

Key Responsibilities

Data Ingestion & Integration Engineering (Core Focus)

  • Design, build, and maintain scalable ingestion pipelines using:
    • Fivetran (primary tool)
    • REST/SOAP APIs
    • Flat files (SFTP, batch ingestion, vendor extracts)
  • Integrate data from key enterprise systems, including:
    • Workday (core HCM, recruiting, etc.)
    • Other HR, payroll, and workforce-related systems
  • Ensure ingestion pipelines are robust, efficient, and fault-tolerant

Workday & HR Domain Expertise

  • Develop deep expertise in Workday data structures and integration patterns
  • Design ingestion strategies for:
    • Worker data
    • Job/position structures
    • Organizational hierarchies
    • Recruiting and talent data
  • Handle complexities such as:
    • Effective-dated data
    • Hierarchical relationships
    • Slowly changing attributes

Data Reliability & Monitoring

  • Implement monitoring, alerting, and observability for ingestion pipelines
  • Ensure data completeness, timeliness, and accuracy
  • Troubleshoot pipeline failures and data discrepancies at the source level
  • Partner with upstream system owners to resolve data quality issues

Fivetran Optimization & Management

  • Configure and optimize Fivetran connectors
  • Manage sync schedules, schema changes, and connector performance
  • Ensure cost-efficient use of Fivetran
  • Handle edge cases where custom ingestion is required beyond Fivetran

Integration Design & Standards

  • Define best practices for:
    • API-based ingestion
    • File handling and validation
    • Incremental vs full-load strategies
  • Establish standards for naming, metadata, and lineage at ingestion layer
  • Ensure raw data is structured for downstream transformation (Coalesce)

CI/CD & Version Control

  • Implement version control and deployment practices using Azure DevOps / GitHub
  • Enable repeatable, testable deployment of ingestion pipelines
  • Document integration logic and configurations

Cross-Team Collaboration

  • Partner with:
    • Data Platform Engineering (Snowflake readiness, access patterns)
    • Data Engineers (downstream modeling in Coalesce)
    • HRIS / Workday teams (source system alignment)
  • Ensure clean handoffs between ingestion transformation consumption

Required Qualifications

  • 5+ years of experience in data engineering or data integration engineering
  • Strong experience with Fivetran or similar ingestion tools
  • Experience integrating data via APIs and flat files
  • Hands-on experience working with Workday integrations or HR data systems
  • Strong SQL skills and understanding of data structures
  • Experience building reliable, production-grade data pipelines
  • Familiarity with cloud data ecosystems (Snowflake preferred)

Preferred Qualifications

  • Deep experience with Workday (HCM, Recruiting, etc.)
  • Experience handling effective-dated and hierarchical datasets
  • Exposure to Workforce / People Analytics domains
  • Familiarity with Azure ecosystem
  • Experience with data observability/monitoring tools
  • Understanding of downstream transformation frameworks (Coalesce/dbt)

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 marketdata.) This role offers a competitive Bonus plan that will take into account individual, group,and corporate performance. This position includes a competitive benefits package. Theposted salary range reflects the target compensation for this role. However, we recognizethat exceptional candidates may bring unique skills and experiences that exceed the typicalprofile. If you believe your background warrants consideration beyond the stated range, weencourage you to apply. To support an efficient and fair hiring process, we may usetechnology assisted tools, including artificial intelligence (AI), to help identify and evaluatecandidates. All hiring decisions are ultimately made by human reviewers. For details, pleasevisit the About Us tab on the Johnson Controls Careers site athttps://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.


What Johnson Controls employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Johnson Controls logo

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