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Principal Data Engineer Jobs in Wisconsin (NOW HIRING)

DR Power LLP

Principal Data & AI Architect

Waukesha, WI · On-site

$140 - $190/hr

The Principal Data & AI Architect will be responsible for designing, developing, and implementing ... Collaborate with data scientists, data engineers, business functional and product teams to ...

New

Generac

Principal Data & AI Architect

Waukesha, WI

The Principal Data & AI Architect will be responsible for designing, developing, and implementing ... Collaborate with data scientists, data engineers, business functional and product teams to ...

Stellix

Senior Data Engineer III

Foxboro, WI · On-site

$130K - $160K/yr

This role offers a clear path for growth into Principal Data Engineer or Data Architect, based on demonstrated technical expertise, cross-functional impact, and innovation in data engineering. It's ...

Tiger Analytics

WI · On-site

$130 - $160/hr

Job Summary We are seeking a highly skilled Principal Data Architect to design and implement our ... Data Engineering & Governance * BI & EDW: Deep expertise in enterprise data warehousing and ...

Capgemini

WI · On-site

$80 - $106/hr

Stock Plan Services an equity compensation services division of client is seeking an experienced Principal Data Migration Engineer who can help design and leads execution of complex data migration ...

Soteria Reinsurance Ltd.

WI · On-site

$150 - $210/hr

Monitors end-to-end data operations, including data ingestion, data cleansing, and timely data ... Principal Software Engineer/Developer (or closely related occupation) designing and developing ...

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All JobsPrincipal Data Engineer JobsPrincipal Data Engineer Jobs in Wisconsin

Principal Data Engineer information

See Wisconsin salary details

$74.7K

$148.6K

$214.5K

How much do principal data engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for principal data engineer in Wisconsin is $148,597.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,600.00 and $174,600.00 per year, depending on experience, location, and employer.

What is a principal data engineer?

A Principal Data Engineer is a senior-level technical role responsible for designing, building, and maintaining large-scale data infrastructure. They lead data engineering teams, establish best practices, and ensure efficient data pipelines to support analytics and machine learning. This role involves working with cloud platforms, big data technologies, and distributed systems to optimize data processing. Principal Data Engineers collaborate with data scientists, analysts, and business stakeholders to drive data-driven decision-making. Their work is critical in enabling organizations to leverage data effectively for insights and innovation.

What are the typical daily responsibilities of a principal data engineer?

As a Principal Data Engineer, your day-to-day responsibilities generally include designing and optimizing large-scale data pipelines, developing architectural strategies, and overseeing the implementation of robust data solutions. You'll collaborate closely with data scientists, analysts, and software engineers to ensure the organization's data infrastructure is efficient, scalable, and secure. You may also mentor junior team members, review code, and set data engineering best practices. This role frequently requires balancing hands-on technical work with strategic planning and stakeholder communication to align data initiatives with business goals.

What are the key skills and qualifications needed to thrive as a principal data engineer?

To thrive as a Principal Data Engineer, you need a deep understanding of data architecture, data modeling, ETL development, and distributed computing, often supported by a degree in computer science or a related field. Proficiency with technologies such as Hadoop, Spark, Python, SQL, and cloud platforms (AWS, Azure, or Google Cloud), as well as certifications in relevant tools or data engineering, is highly valuable. Strong leadership, problem-solving skills, and effective cross-functional communication are essential soft skills for this role. These combined abilities enable Principal Data Engineers to design scalable data solutions, drive engineering best practices, and lead complex projects to successful completion.

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

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

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

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

Principal Data Engineer jobs near you
Infographic showing various Principal Data Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $148,597 per year, or $71.4 per hour.

Principal Data Engineer

Germantown, WI • On-site

Continuus Technologies LLC
IT Services • 11 - 50 employees
Learn more about Continuus Technologies LLCexternal

Full-time

Re-posted 17 days ago

Job description

Role OverviewThe Principal Data Engineer is a senior technical authority responsible for defining the organization's data architecture, setting long-term technical strategy, and solving the most complex data engineering challenges. This role influences company-wide data standards, mentors senior engineers, and partners with executive and cross-functional leaders to ensure data platforms scale with the business.Key ResponsibilitiesDefine and evolve the long-term data architecture and technical visionDesign highly scalable, resilient data platforms and pipelinesSet standards for data modeling, reliability, observability, and governanceLead complex, high-risk technical initiatives and migrationsServe as the escalation point for critical data incidents and root cause analysisInfluence tool selection and technology adoption across the data stackMentor Staff and Senior Data Engineers and elevate engineering excellencePartner with leadership to align data strategy with business goalsEnsure data platforms support analytics, ML, and product use cases at scaleQualificationsBachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)10+ years of experience in data engineering or related disciplinesExpert-level SQL and strong proficiency in Python or similar languagesDeep experience with data warehousing, data lakes, and distributed systemsProven track record of designing and operating large-scale data platformsStrong systems thinking and architectural decision-making skillsPreferred ExperienceCloud platforms (AWS, Azure, or GCP)Streaming and real-time systems (Kafka, Spark, Flink, etc.)Advanced data governance, security, and compliance practicesSupporting ML, AI, or product-led data platformsInfluencing technical direction without direct managerial authority