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Senior Data Engineer Jobs in Wisconsin (NOW HIRING)

Mgic Investment

Senior Data Engineer

Milwaukee, WI · Remote

$104K - $141K/yr

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

US Venture, Inc.

Senior Data Engineer - IGEN

Appleton, WI · On-site

$103K - $140K/yr

POSITION SUMMARY The Senior Data Engineer is the technical leader for IGEN's Data Foundation - architecting, building, and operating the Snowflake data platform, Azure-native ingestion infrastructure ...

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.

Capgemini

WI · On-site

$90 - $120/hr

Our data engineer will be integrated into a small agile squad, coached by experienced architects and a senior Data Engineer.## Data engineers are responsible for building reliable and scalable data ...

1 point system

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 ...

DTN (Data Transmission Network)

WI · On-site

$120 - $145/hr

Senior Data Engineer We are looking for a highly skilled Senior Data Engineer to lead the evolution of our modern data and analytics architecture. This role ensures the quality, integrity ...

Elephas

Senior Data Scientist

Madison, WI · On-site

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 ...

Elephas

Senior Data Scientist

Madison, WI

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 ...

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Senior Data Engineer information

See Wisconsin salary details

$81.8K

$127.5K

$176.6K

How much do senior data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for senior data engineer in Wisconsin is $127,510.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $145,300.00 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 Wisconsin?

The most popular types of Data Engineer jobs in Wisconsin are:

What are popular job titles related to Senior Data Engineer jobs in Wisconsin?

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

What job categories do people searching Senior Data Engineer jobs in Wisconsin look for?

The top searched job categories for Senior Data Engineer jobs in Wisconsin are:

What cities in Wisconsin are hiring for Senior Data Engineer jobs?

Cities in Wisconsin with the most Senior Data Engineer job openings:

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

Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $127,510 per year, or $61.3 per hour.

Senior Data Engineer

Mgic Investment

Milwaukee, WI • Remote

$104K - $141K/yr

Full-time

Retirement, PTO

Posted 16 days ago

Job description

At MGIC, we take pride in knowing that what we do matters. As pioneers of private mortgage insurance, we help people achieve homeownership sooner - making affordable low-down-payment mortgages a reality. Our efforts have helped more than 14 million people get the keys to their own homes sooner than otherwise possible. Every position is critical to our company's success - from the analytical to the technical; from the innovative to the operational. The customer-facing roles to behind-the-scenes experts, we're all part of one team. We're an organization with a national footprint that's large enough to never lack for a new challenge, but small enough for an opportunity to make an impact and influence decisions. Come make a difference at MGIC.

Summary:

We're building great things at MGIC, and we are excited to be offering this position. This is an opportunityhelpuscreate the next generation data platform. Becoming Data-driven is at the core of our transformation - join us and help us build the future!

We arelooking for aSeniorData Engineerwhoispassionate aboutbuilding trusted, scalabledataproductswithmodern cloudtechnologies. As part of theData & Analytics team, you will design and deliver a Snowflake-centered data platform, automate source-to-warehouse ingestion with Fivetran, develop analytics-ready transformations withdbt, and orchestrate production workflows with Astronomer and Apache Airflow.

Responsibilities:

  • Define and evolve data integration frameworks, engineering standards, reusable patterns, and governance practices for a modern cloud data platform.

  • Design scalable Snowflake data architectures, including databases, schemas, tables, views, virtual warehouses, role-based access, and approaches for performance and cost optimization.

  • Build and operate reliable batch and incremental ingestion pipelines using Fivetran connectors, including source configuration, schema-change handling, sync monitoring, troubleshooting, and custom connector patterns when needed.

  • Develop modular, maintainabledbtmodels in Snowflake; implement source definitions, tests, documentation, lineage, incremental strategies, and reusable macros.

  • Author, schedule, deploy, and monitor data workflows with Apache Airflow on Astronomer, applying effective dependency management, retry, alerting, backfill, and failure-recovery practices.

  • Implement observability and data-quality controls across ingestion, orchestration, and transformation layers so production data is accurate, timely, and available to stakeholders.

  • Partner with business, analytics, architecture, security, and engineering teams to translate requirements into durable data products and a long-term platform roadmap.

  • Deliver changes through Git-based development, automated testing, code review, and CI/CD practices acrossdbtand Airflow projects.

  • Troubleshoot data and pipeline issues across source systems, Fivetran, Astronomer,dbt, Snowflake, and downstream consumption layers.

  • Evaluate Cortex Code capabilities and lead the development of a practical adoption plan for incorporating AI-assisted engineering into solution delivery processes, including prioritized use cases, governance and security guardrails, developer workflows, enablement, success measures, and a phased rollout.

  • Lead design and code reviews, share engineering best practices, and mentor junior data engineers.

Required skills:

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or relevant experience.

  • 5 or more years of data engineering experience, including cloud data warehousing, dimensional data modeling, ETL/ELT, analytics enablement, and production pipeline support.

  • Hands-on Snowflake experience, including advanced SQL, data loading and transformation, virtual warehouse sizing, query optimization, access controls, and cost-conscious platform operation.

  • Experience building production-gradedbtprojects with modular models, tests, documentation, source freshness, incremental models, macros, packages, and CI/CD.

  • Experience developing and operating Apache Airflow DAGs; familiarity with Astronomer or another managed Airflow platform, including deployment, monitoring, alerting, and troubleshooting.

  • Experience implementing and supporting managed ELT with Fivetran, including connector setup, incremental synchronization, schema evolution, monitoring, and issue resolution.

  • Strong Python and SQL skills; experience with APIs, data formats, shell scripting, and Git-based development workflows.

  • Experience with AWS services such as S3, Lambda, IAM, and related cloud data services, plus Agile delivery and end-to-end automation practices.

  • Knowledge of Cortex Code and AI-assisted software development practices, ordemonstratedwillingness and ability to build a responsible adoption plan that integrates the technology into solution delivery processes while maintaining security, governance, code-review, testing, and change-management standards.

  • Strong communication, problem-solving, and collaboration skills, with the ability to influence technical decisions and mentor other engineers.

Pay Range:

$105,590.00 - $179,510.00

This range aligns with current market data and reflects our commitment to competitive and equitable compensation. Salary offers are based on factors such as experience, skills, education, and training. The range may vary in certain locations to reflect local market conditions. It is not typical to initiate pay at the top of the range to account for internal equity and allow for future and continued salary growth

Enjoy these benefits from day one:
Competitive Salary & pay-for-performance bonus
Financial Benefits (401k with company match, profit sharing, HSA, wellness program)
On-site Fitness Center and classes (corporate office)
Paid-time off and paid company holidays
Business casual dress

For additional information about MGIC and to apply, please visit our website at www.mgic.com/careers.

Note to all recruitment agencies:
MGIC does not accept unsolicited agency resumes. Any unsolicited resumes sent to MGIC, directly or indirectly, will be considered MGIC property. MGIC is not responsible for any agency fees associated with unsolicited resumes. A recruiting agency must have a valid, written and fully executed agency agreement to assist with a requisition.

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