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Director Data Engineer Jobs in Wisconsin (NOW HIRING)

Stellix

Senior Data Engineer III

Foxboro, WI ยท On-site

$130K - $160K/yr

The Position We are seeking a Senior Data Engineer to join our growing Enterprise Data & Analytics ... but without direct people management responsibilities. You'll be responsible for designing ...

New

Relativity

WI ยท On-site

Relativity's Data Intelligence Foundation engineering org is building this layer. The product ... The Director of Product Management, Data Intelligence Foundation is one of the highest-leverage ...

New

VITO Research

WI ยท On-site

$100 - $130/hr

This role combines data engineering, cloud architecture, platform reliability, advanced ... Direct collaboration with AI and software engineering experts in a rapidly scaling environment.

New

Apply

WI ยท On-site

$180 - $260/hr

About Darkroom Darkroom is the leading next-generation growth marketing firm engineering the brands ... Every engagement feeds into our proprietary data infrastructure, enabling a continuous feedback ...

Cielo

Senior Director - Client Data Solutions

Wauwatosa, WI ยท Remote

$103K - $139K/yr

Are you Strong experience in Data engineering / Data platforms & integrations? Do you have the ... The Senior Director - Client Data Solutions will assist with daily activities, provide guidance ...

Cielo

Senior Director - Client Data Solutions

Wauwatosa, WI ยท On-site +1

$103K - $139K/yr

Are you Strong experience in Data engineering / Data platforms & integrations? Do you have the ... The Senior Director - Client Data Solutions will assist with daily activities, provide guidance ...

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Showing results 21-40

All JobsData Engineer JobsDirector Data Engineer JobsDirector Data Engineer Jobs in Wisconsin

Director Data Engineer information

See Wisconsin salary details

$52K

$148.8K

$198.8K

How much do director data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for director data engineer in Wisconsin is $148,840.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,800.00 and $197,800.00 per year, depending on experience, location, and employer.

What does a director data engineer do?

A Director Data Engineer leads teams responsible for designing, building, and maintaining large-scale data architectures and infrastructure within an organization. They oversee data engineering projects, establish data management best practices, and ensure data systems are scalable, secure, and reliable. Additionally, they collaborate with other departments, such as analytics and IT, to align data strategies with business goals while mentoring and managing junior engineers.

What are the key skills and qualifications needed to thrive as a director data engineer, and why are they important?

To thrive as a Director Data Engineer, you need advanced expertise in data architecture, data modeling, and large-scale data processing, typically backed by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), big data tools (like Hadoop, Spark), and relevant certifications (e.g., Google Cloud Certified - Professional Data Engineer) is critical. Strong leadership, strategic thinking, and effective communication skills set top performers apart in this role. These abilities are vital for designing robust data solutions, leading high-performing teams, and aligning data initiatives with organizational goals.

How does a director data engineer typically collaborate with other departments to drive business objectives?

A Director Data Engineer works closely with cross-functional teams such as product management, analytics, and IT to align data infrastructure and engineering strategies with overall business goals. They facilitate communication between data engineering teams and key stakeholders, ensuring that data solutions address real business needs and support decision-making. This role often involves leading meetings, prioritizing projects based on cross-departmental feedback, and translating technical requirements into actionable plans for their teams. Effective collaboration is essential for delivering scalable, high-impact data solutions across the organization.

How much does a director data engineer make in the US?

A director data engineer in the US typically earns between $130,000 and $180,000 annually, with salaries varying based on experience, location, and company size. They often oversee data teams, manage large-scale data infrastructure, and require expertise in tools like SQL, Python, and cloud platforms.

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 Director Data Engineer jobs in Wisconsin?

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

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

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

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

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

Director Data Engineer jobs near you
Infographic showing various Director 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 $148,840 per year, or $71.6 per hour.

Senior Data Engineer III

Stellix

Foxboro, WI โ€ข On-site

$130K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New

Job description

About Stellix
The Stellix Group of companies share a common mission of providing transformative solutions at the intersection of science and technology that enable our customers to deliver a healthier and more sustainable future. Our unique portfolio of companies is focused on helping life sciences and industry manufacturers build, connect, and transform operations and IT to make real progress in breakthrough therapeutics, food, energy, and more.
The Position
We are seeking a Senior Data Engineer to join our growing Enterprise Data & Analytics team. Our mission is to empower every team across the organization with timely, trusted, and actionable data. In this role, you will own and build our Enterprise Data Platform (EDP), which supports analytics and insights across the organization. Our technology stack includes Snowflake, dbt, Fivetran, Airflow, and Power BI, all running in the AWS cloud.
This is an individual contributor role with a strong emphasis on technical leadership, including ownership of architectural decisions and driving best practices, but without direct people management responsibilities. You'll be responsible for designing, developing, and maintaining all components of the EDP. You will transform raw data into reliable, actionable insights that empower strategic decision-making enterprise wide.
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 ideal for someone who wants both technical ownership and strategic impact without people management responsibilities.
Responsibilities
Platform & Architecture (25%)
  • Responsible for scoping, architecting, designing, and developing robust data engineering solutions๏ฟฝincluding data pipelines, data integration, and infrastructure.
  • Support the data architect in the creation of conceptual and logical data models. Own the creation of physical data model optimized for analytics, reporting, and AI/machine learning use cases.
  • Serve as the technical owner of the data platform๏ฟฝmaking architectural decisions, maintaining high code quality, and delivering scalable, reliable solutions.

Pipeline Development & Data Integration (50%)
  • Integrate data from diverse sources, including databases, APIs, flat files and cloud platforms.
  • Design, and build performant, scalable data pipelines using tools like dbt, Fivetran, and Airflow.
  • Troubleshoot issues with production data pipelines and implement monitoring and alerting as needed.
  • Design and deliver curated datasets to support analytics engineers in building AI and BI solutions.

Collaboration & Data Quality (10%)
  • Collaborate across business, governance, QA, and analytics teams to ensure data quality, consistency, and successful solution delivery.
  • Implement data quality frameworks and automated tests to ensure integrity, trust, and traceability across the pipeline.

Technology Best Practices & Innovation (15%)
  • Define and implement enterprise scale data engineering best practices, standards and guidelines across the development life cycle.
  • Stay up to date on the latest data engineering trends and technologies, advocate for new technologies and champion their adoption to continuously improve our data infrastructure.

Qualifications:
Education: Bachelor's degree in computer science, data science, software engineering, information systems, or related quantitative field; master's degree preferred.
Experience: 10+ years of Data Engineering experience, with at least 3 years in modern cloud/data stack. Demonstrated experience designing and implementing enterprise scale data platforms.
Technical Proficiency: Proficient in data management disciplines, including data integration, modeling, building data warehouses/lakes, and data quality, or other areas relevant to data engineering responsibilities and tasks.
Communication & Mindset: Strong communication skills, to be able to clearly articulate technical concepts to non-technical stakeholders. Strong problem-solving skills and a proactive, ownership-driven mindset.
Skills:
  • Proficiency in the design and implementation of modern data architectures such as cloud services (AWS, Azure, GCP) and modern data warehouse technologies (Snowflake, Databricks, Redshift, BigQuery). Experience with AWS and Snowflake preferred.
  • Experience with ETL/ELT design and development using tools like Informatica, Matillion, AWS Glue, or equivalent. Experience with Fivetran, dbt preferred.
  • Strong experience with database/big data technologies such as Oracle, SQL Server, Teradata, Apache Spark, Delta Lake, Hadoop
  • Experience with DevOps/DataOps, Continuous Integration and Continuous Delivery (CI/CD) principles/technologies using tools such as BitBucket, Jenkins, or similar.
  • Experience with Agile methodologies, common scrum practices and tools.
  • Familiarity with data quality and testing frameworks (e.g., dbt tests, Great Expectations, Soda) is a plus.

Benefits
  • Competitive Medical, Dental & Vison Insurance
  • Flexible Spending or Health Savings Accounts
  • Unlimited Vacation Time Policy
  • 10 Paid Holidays
  • 12 Paid Weeks Birthing Parent Leave
  • Retirement Savings: 401(k) and Employee Stock Ownership Plan
  • Pet Insurance
  • Employee Referral Bonus
  • Tuition Reimbursement
  • Company Paid STD, LTD, and Life Insurance

Compensation: This position offers a base salary range of $130,000 to $160,000, based on experience and qualifications. The role is also eligible for a variable compensation plan.
The posted salary range represents a good faith estimate of the expected compensation for this role at the time of posting. Final compensation will be determined based on factors such as relevant experience, skills, qualifications, internal equity, and business needs.
On-Site Requirements
This position requires a full on-site presence 5 days per week during the first 4๏ฟฝ6 months. Following that period, the role will be on-site four days per week, including Monday, Wednesday, and Thursday, with the fourth on-site day alternating between Tuesday or Friday depending on business needs.
Must be currently authorized to work in the United States.
Policy on Third-Party Unsolicited Resume Submissions: Please note that any third-party unsolicited resume submissions will immediately become the property of Stellix. Stellix will not pay any fee to a submitting employment agency, person, or entity unless a signed agreement is established.
Please Note: Stellix is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, protected veteran status or any other characteristic protected by law.

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