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

Fiserv, Inc.

Sr Data Scientist

Milwaukee, WI · On-site

Job Title Sr Data Scientist TITLE: Sr Data Scientist EMPLOYER: Fiserv Solutions, LLC LOCATION ... with Python programming language; 4 years deploying, monitoring, and maintaining ML/DL model ...

LRS

Senior Data & Analytics Engineer

Milwaukee, WI

$65 - $95/hr

Codeworks, an LRS company, is seeking aa strategic and hands-on Senior Data & Analytics Solutions ... engineering, and reporting. Key Responsibilities Partner with business leaders to understand ...

Bakertilly

Associate Data Engineer

Milwaukee, WI

$85K - $162K/yr

As a Senior Consultant - Associate Data Engineer you will design, build, and optimize modern data solutions for our midmarket and enterprise clients. Working primarily inside the Microsoft stack ...

The Home Depot

Senior Data Scientist

Milwaukee, WI

At least 6+ years of data science/engineering experience * Strong problem-solving skills with an emphasis on product development. * Strong experience using statistical computer languages (Python, SLQ ...

Johnson Controls

Senior Data Scientist

Milwaukee, WI

At least 6+ years of data science/engineering experience * Strong problem-solving skills with an emphasis on product development. * Strong experience using statistical computer languages (Python, SLQ ...

Johnson Controls

Senior Data Scientist

Milwaukee, WI · On-site

At least 6+ years of data science/engineering experience * Strong problem-solving skills with an emphasis on product development. * Strong experience using statistical computer languages (Python, SLQ ...

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

Senior Data Engineer information

See Racine, WI salary details

$76K

$118.5K

$164.1K

How much do senior data engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for senior data engineer in Racine, WI is $118,455.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $135,000.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, build, and maintain data infrastructure. Data engineers are essential for managing complex data pipelines, ensuring data quality, and implementing AI models effectively within organizations. Proficiency in programming, cloud platforms, and data management tools remains critical for the role.

What is the highest salary for a senior data engineer?

The highest salaries for senior data engineers can exceed $150,000 to $200,000 annually, especially in high-cost-of-living areas or with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark or Hadoop. Compensation may also include bonuses, stock options, and other benefits depending on the company and location.

What are Senior Data Engineers?

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 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 engineer makes $500,000 a year?

Senior Data Engineers with extensive experience, advanced skills in data architecture, and expertise in tools like Spark, Hadoop, or cloud platforms can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, or other incentives.

What engineers make $300,000 a year?

Senior Data Engineers and other highly experienced engineering roles in fields like software, machine learning, and cloud infrastructure can earn $300,000 or more annually, especially with advanced skills, certifications, and working in high-demand industries or companies. Compensation often includes base salary, bonuses, and stock options, reflecting expertise and responsibility levels.

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 are the most commonly searched types of Data Engineer jobs in Racine, WI? The most popular types of Data Engineer jobs in Racine, WI are:
What are popular job titles related to Senior Data Engineer jobs in Racine, WI? For Senior Data Engineer jobs in Racine, WI, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineer jobs in Racine, WI look for? The top searched job categories for Senior Data Engineer jobs in Racine, WI are:
What cities near Racine, WI are hiring for Senior Data Engineer jobs? Cities near Racine, WI with the most Senior Data Engineer job openings:
Senior Data Engineer jobs near you
Sr Data Scientist

Sr Data Scientist

Fiserv, Inc.

Milwaukee, WI • On-site

Full-time

Posted 3 days ago

Fiserv rating

7.6

Company rating: 7.6 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

106th of 138 rated financial services

Job description

Calling all innovators - find your future at Fiserv.
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
Job Title
Sr Data Scientist
TITLE: Sr Data Scientist
EMPLOYER: Fiserv Solutions, LLC
LOCATION: Milwaukee, WI (and various unanticipated locations throughout the US subject to authorization from management)
DUTIES: Build and support Fiserv small business index and similar macroeconomics statistics to represent the US census small business sales growth/decline at geography and industry level using Fiserv small business merchants' information which represent the US census. Contribute to the Fiserv small business index methodology and script development using application of multiple statistical techniques to correlate Fiserv Small Business Index well with the known US government statistics including MRTS and Census. Identify the reason behind shift in the growth at geography/industry level. Build and support AI/ML/DL forecasting models for FSBI, CPI, MRTS, PCE and other macroeconomic KPIs using Fiserv and external data.
REQUIREMENTS: Bachelor's degree in Statistics, Data Science, Computer Science, Operations Research or a related field and 4 years in any job title involving statistical and machine learning modeling experience. Prior experience must include: 4 years building and maintaining indexes using Consumer, Merchant, Payment, Banking, and macroeconomic data; 4 years working with frameworks including PySpark, TensorFlow, scikit-learn, Xgboost, DASK, and Ray; 4 years working with Python programming language; 4 years deploying, monitoring, and maintaining ML/DL model pipelines in a HPC platform using Spark, AWS EMR, MWAA, WMLA, Spectrum Conductor, Airflow, and MLFlow; 4 years formulating research or business problems and subsequently designing and implementing AI/ML/DL solutions; 2 years working with data platforms and applications including Azure ML, Databricks ML, and AWS SageMaker; and 2 years contributing to GitHub and open-source initiatives.
TRAVEL: None
TO APPLY: Apply by selecting "Apply" on this page and following prompts to attach resume and submit.
JOB CODE: VD549
#P3M
It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.
Our commitment to Equal Opportunity:
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contact AskHR.US@fiserv.com. Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv's Disability Accommodation Policy for additional information.
Note to agencies:
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
Warning about fake job posts:
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

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