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Senior Data Engineer Jobs in Sun Prairie, WI (NOW HIRING)

Paradigm

Senior ML Ops Engineer

Middleton, WI · On-site

$123K - $170K/yr

We are looking for a Senior ML Ops Engineer to be part of revolutionizing these industries. We are ... What You Need to Succeed: · Bachelor's degree in Computer Science, Data Science, Artificial ...

Berners Schober

Senior Mechanical Engineer

Madison, WI · Remote

$107K - $141K/yr

Berners Schober is seeking a Senior Mechanical Engineer in Madison, WI to join our growing team and ... Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc ...

Berners Schober

Senior Mechanical Engineer

Madison, WI · Remote

$107K - $141K/yr

Berners Schober is seeking a Senior Mechanical Engineer in Madison, WI to join our growing team and ... Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc ...

Berners Schober

Senior Mechanical Engineer

Madison, WI · On-site

$105K - $139K/yr

Berners Schober is seeking a Senior Mechanical Engineer in Madison, WI to join our growing team and ... Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc ...

Berners Schober

Senior Mechanical Engineer

Madison, WI · On-site +1

$105K - $139K/yr

Berners Schober is seeking a Senior Mechanical Engineer in Madison, WI to join our growing team and ... Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc ...

Paradigm

Senior Applied ML Engineer

Middleton, WI · Remote

$125K - $183K/yr

We are looking for a Senior Applied ML Engineer to be part of revolutionizing these industries. We ... construction data. * Build scalable ML pipelines and backend services that integrate into ...

IMG LIVE

Senior Software Engineer

Oregon, WI · On-site

$131.25 - $175/hr

Senior Software Engineer**WME is building the next generation of internal platforms that power one ... Developing AI-powered features that surface insights from operational data* Building and ...

HealthX Ventures

Senior Staff Engineer

Madison, WI · On-site

$180 - $220/hr

This is the most senior individual contributor role on our engineering team. You'll influence ... APIs, data models, infrastructure, deployment, scalability, reliability, and long‑term ...

Recovery.com

Senior Staff Engineer

Madison, WI · On-site

$105K - $144K/yr

This is the most senior individual contributor role on our engineering team. You'll influence ... APIs, data models, infrastructure, deployment, scalability, reliability, and long-term ...

Recovery.com

Senior Staff Engineer

Madison, WI

$105K - $144K/yr

This is the most senior individual contributor role on our engineering team. You'll influence ... APIs, data models, infrastructure, deployment, scalability, reliability, and long-term ...

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All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Sun Prairie, WI

Senior Data Engineer information

See Sun Prairie, WI salary details

$78.8K

$122.9K

$170.3K

How much do senior data engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for senior data engineer in Sun Prairie, WI is $122,910.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,100.00 and $140,100.00 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 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 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.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often possess skills in SQL, Python, cloud platforms, and data pipeline tools, which can influence compensation levels.

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 Sun Prairie, WI? The most popular types of Data Engineer jobs in Sun Prairie, WI are:
What are popular job titles related to Senior Data Engineer jobs in Sun Prairie, WI? For Senior Data Engineer jobs in Sun Prairie, WI, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineer jobs in Sun Prairie, WI look for? The top searched job categories for Senior Data Engineer jobs in Sun Prairie, WI are:
What cities near Sun Prairie, WI are hiring for Senior Data Engineer jobs? Cities near Sun Prairie, WI with the most Senior Data Engineer job openings:
Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Sun Prairie, WI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,910 per year, or $59.1 per hour.

Senior ML Ops Engineer

Paradigm

Middleton, WI • On-site

$123K - $170K/yr

Full-time

Re-posted 18 hours ago

Job description

Paradigm is a software company transforming the way that the residential, construction & building product industries operate across the globe. We are looking for a Senior ML Ops Engineer to be part of revolutionizing these industries. We are building the future with modern software engineering, agent-assisted systems, and mobile-first experiences. We are powered by our parent company, Builders FirstSource (NYSE: BLDR): a Fortune 300 company with over $23 billion in revenue and more than 29,000 employees across 550+ locations, BFS is redefining construction through data, digital infrastructure, and AI-powered innovation.

What You Will Do:

· Design, build, and maintain scalable MLOps solutions that support the end-to-end machine learning lifecycle, including model training, deployment, monitoring, and retraining.

· Develop and optimize automated ML deployment pipelines, ensuring reliable, reproducible, and efficient model delivery to production environments.

· Deploy and support machine learning models and AI solutions in production, maintaining best practices for scalability, reliability, security, and operational excellence.

· Implement and maintain model registries, experiment tracking, versioning, and governance practices to support consistent model lifecycle management.

· Build and support containerized ML workloads and deployment workflows using technologies such as Docker and Kubernetes.

· Develop monitoring, observability, and alerting capabilities for machine learning systems, including model performance tracking, drift detection, and data quality monitoring.

· Collaborate with Machine Learning Engineers, Data Scientists, Software Engineers, and Infrastructure teams to operationalize ML solutions and improve deployment efficiency.

· Implement and maintain IaC patterns using Terraform.

· Troubleshoot and resolve complex technical challenges related to model deployment, ML infrastructure, and production operations.

· Provide guidance and mentorship to other engineers.

What You Need to Succeed:

· Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence or related field or equivalent experience.

· 4+ years of professional experience in software engineering, machine learning engineering, MLOps, platform engineering, DevOps, or a related technical discipline.

· Strong understanding of the machine learning lifecycle, including model training, validation, deployment, monitoring, and retraining.

· Experience building and maintaining automated machine learning pipelines and CI/CD workflows.

· Experience with MLOps platforms and tools such as MLflow, Kubeflow, Azure Machine Learning, Databricks, or similar technologies.

· Experience in Python programming, ML Framework and Agentic AI. Implemented model monitoring, experiment tracking, model versioning, and governance practices.

· Experience working with cloud-based machine learning solutions, preferably within Azure.

· Ability to independently solve complex technical challenges, make sound decisions with minimal guidance, and drive work to completion.

Ready to Join? Apply now at myparadigm.com/careers/

Compensation Range: $123K - $170K