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

Deloitte

Senior Data Engineer

Milwaukee, WI · Hybrid

$104K - $141K/yr

As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity ...

SysLogic, Inc.

Senior Data Engineer

Brookfield, WI · On-site +1

$100K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior Data Engineer will design and build tools and processes that help clients derive meaningful insights from their data. They will help clients understand their data needs and how to use data ...

SysLogic, Inc.

Senior Data Engineer

Brookfield, WI · Remote

$108K - $147K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior Data Engineer will design and build tools and processes that help clients derive meaningful insights from their data. They will help clients understand their data needs and how to use data ...

Accenture

Google Senior Data Engineer

Milwaukee, WI · On-site

$94K - $266K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Work (What You Will Do) As a GCP Senior Data Engineer, you will help deliver data modernization, analytics, and AI solutions on GCP. You will support architecture design, build data pipelines and ...

SysLogic, Inc.

Senior Data Engineer

Brookfield, WI · Remote

$100K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior Data Engineer will design and build tools and processes that help clients derive meaningful insights from their data. They will help clients understand their data needs and how to use data ...

Milwaukee Tool

Sr Data Engineer

Menomonee Falls, WI

$106K - $144K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

As a Senior Data Engineer , you will deliver innovative data products that enable Milwaukee Tool to make fast, datadriven decisions. Working closely with business partners and the Data Platform team ...

MGIC Investment Corporation

Senior Data Engineer

Milwaukee, WI · On-site

$104K - $141K/yr

  • Retirement

  • PTO

We are looking for a Senior Data Engineer who is passionate about building trusted, scalable data products with modern cloud technologies. As part of the Data & Analytics team, you will design and ...

Mgic Investment

Senior Data Engineer

Milwaukee, WI · Remote

$104K - $141K/yr

  • Retirement

  • PTO

Define and evolve data integration frameworks, engineering standards, reusable patterns, and governance practices for a modern cloud data platform. * Design scalable Snowflake data architectures ...

KOHLS

Senior Data Engineer (Remote)

Menomonee Falls, WI · On-site

$123K - $162K/yr

Additional tasks may be assigned Addendum SENIOR BIG DATA SOFTWARE ENGINEER * Develop, automate, and maintain batch and streaming ETL pipelines using Apache Airflow, Apache Spark, Python, and Scala.

Johnson Controls

Senior Data Integration Engineer

Milwaukee, WI · On-site

$100K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Johnson Controls

Senior Data Integration Engineer

Milwaukee, WI · On-site

$100K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Johnson Controls

Senior Data Platform Engineer

Milwaukee, WI · On-site

$100K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Johnson Controls, Inc.

Senior Data Platform Engineer

Milwaukee, WI · On-site

$100K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Pwc

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 ...

Pwc

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 ...

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Showing results 1-20

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

Senior Data Engineer information

See Eagle, WI salary details

$94.4K

$147.2K

$203.9K

How much do senior data engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for senior data engineer in Eagle, WI is $147,175.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,500.00 and $167,800.00 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 Eagle, WI?

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

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

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

Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Eagle, WI as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $147,175 per year, or $70.8 per hour.

Senior Data Engineer

Deloitte

Milwaukee, WI • Hybrid

$104K - $141K/yr

Full-time

Re-posted 11 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services

Job description

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Recruiting for this role ends on 12/31/2026.

Work you'll do/Responsibilities  

  • Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
  • Design, develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks
  • Write and tune PySpark / Spark SQL notebooks for large-scale data transformation
  • Architect end-to-end data solutions across dev UAT prod environments using Unity Catalog
  • Lead and drive design discussions with client architects and other counterparts
  • Collaborate with different teams on data contracts and schema agreements
  • Lead design and optimization of high-volume data pipeline.
  • Define and enforce data engineering standards - naming conventions, partitioning strategies, cluster configurations, Spark tuning
  • Drive performance optimization - AQE tuning, liquid clustering, broadcast joins, shuffle partition management
  • Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies
  • Conduct root cause analysis on production incidents and implement permanent fixes
  • Mentor junior and mid-level engineers through code reviews and pair programming
  • Evaluate new technologies and recommend adoption (e.g., DABs, DLT, Auto Loader, Serverless Compute, event hubs)

The Team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Required Qualifications

  • Python, PySpark, Spark SQL, SQL Server
  • Azure (ADF, ADLS Gen2, Key Vault, Azure Monitor)
  • Databricks (Delta Lake, Unity Catalog, Workflows)
  • Apache Airflow
  • Git / Azure DevOps
  • Deep Spark internals (DAG optimization, spill analysis, skew handling)
  • Delta Lake advanced features (time travel, deletion vectors, predictive I/O)
  • Unity Catalog governance (row/column security, external locations, system tables)
  • IaC - Terraform, Azure ARM templates
  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
  • Limited immigration sponsorship may be available
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $95,000 to $150,000.

This position is aligned with the Project. To view the associated benefit package, please reference this document Project/Center: USBenefitsJourneyProjectandCenterTAM.

Additional Requirements

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

Qualifications:

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Recruiting for this role ends on 12/31/2026.

Work you'll do/Responsibilities  

  • Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
  • Design, develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks
  • Write and tune PySpark / Spark SQL notebooks for large-scale data transformation
  • Architect end-to-end data solutions across dev UAT prod environments using Unity Catalog
  • Lead and drive design discussions with client architects and other counterparts
  • Collaborate with different teams on data contracts and schema agreements
  • Lead design and optimization of high-volume data pipeline.
  • Define and enforce data engineering standards - naming conventions, partitioning strategies, cluster configurations, Spark tuning
  • Drive performance optimization - AQE tuning, liquid clustering, broadcast joins, shuffle partition management
  • Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies
  • Conduct root cause analysis on production incidents and implement permanent fixes
  • Mentor junior and mid-level engineers through code reviews and pair programming
  • Evaluate new technologies and recommend adoption (e.g., DABs, DLT, Auto Loader, Serverless Compute, event hubs)

The Team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Required Qualifications

  • Python, PySpark, Spark SQL, SQL Server
  • Azure (ADF, ADLS Gen2, Key Vault, Azure Monitor)
  • Databricks (Delta Lake, Unity Catalog, Workflows)
  • Apache Airflow
  • Git / Azure DevOps
  • Deep Spark internals (DAG optimization, spill analysis, skew handling)
  • Delta Lake advanced features (time travel, deletion vectors, predictive I/O)
  • Unity Catalog governance (row/column security, external locations, system tables)
  • IaC - Terraform, Azure ARM templates
  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
  • Limited immigration sponsorship may be available
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $95,000 to $150,000.

This position is aligned with the Project. To view the associated benefit package, please reference this document Project/Center: USBenefitsJourneyProjectandCenterTAM.

Additional Requirements

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

Education:Bachelor's DegreeEmployment Type:

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