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Manager Data Engineering Jobs in Sun Prairie, WI

Rubick

Data Crawling - Consultant

Oregon, WI · On-site

$90 - $130/hr

Collaborate with Product, Engineering, and Data teams to ensure reliable and timely data collection ... Experience in eCommerce, Retail, Marketplace Operations, or Catalog Management is preferred.

Wisconsin

Clinical Research Data Specialist

Madison, WI · On-site

$62K/yr

Data Engineer I Job Summary: The Department of Orthopedics and Rehabilitation is seeking a Clinical Research Data Specialist to assist in database development and management of multiple clinical and ...

Summit Credit Union

Data Engineer (Hybrid)

Cottage Grove, WI · On-site

$108K - $130K/yr

Design, build, and maintain data architectures, databases, data models, and integration solutions that enable scalable and reliable data management. * Partner with business leaders, developers ...

Summit Credit Union

Data Engineer (Hybrid)

Cottage Grove, WI · On-site

$108K - $130K/yr

Design, build, and maintain data architectures, databases, data models, and integration solutions that enable scalable and reliable data management. * Partner with business leaders, developers ...

Springs Window Fashions

MDM Developer

Middleton, WI · On-site

... management. * Collaborate with Data Engineering & Architecture teams to align MDM solutions with enterprise data platforms, integration patterns, and downstream analytics needs. Master Data ...

Springs Window Fashions

MDM Developer

Middleton, WI · On-site

... management. * Collaborate with Data Engineering & Architecture teams to align MDM solutions with enterprise data platforms, integration patterns, and downstream analytics needs. Master Data ...

Springs Window Fashions

MDM Developer

Middleton, WI · On-site

... management. * Collaborate with Data Engineering & Architecture teams to align MDM solutions with enterprise data platforms, integration patterns, and downstream analytics needs. Master Data ...

Doist

Senior Software Engineer - Data

Madison, WI · On-site

$140 - $180/hr

Work closely with Product and Application Engineering to ensure new datasets unlock measurable ... Manage Roadmap Execution:** Lead the delivery of data milestones by defining goals, tracking ...

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Showing results 21-40

All JobsData Engineering JobsManager Data Engineering JobsManager Data Engineering Jobs in Sun Prairie, WI

Manager Data Engineering information

See Sun Prairie, WI salary details

$30.2K

$94.5K

$167.3K

How much do manager data engineering jobs pay per year?

As of Aug 22, 2026, the average yearly pay for manager data engineering in Sun Prairie, WI is $94,516.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,200.00 and $122,100.00 per year, depending on experience, location, and employer.

What are the roles and responsibilities of a manager data engineering?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

What are the key skills and qualifications needed to thrive as a manager data engineering?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

How does a manager data engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

What are popular job titles related to Manager Data Engineering jobs in Sun Prairie, WI?

For Manager Data Engineering jobs in Sun Prairie, WI, the most frequently searched job titles are:

What cities near Sun Prairie, WI are hiring for Manager Data Engineering jobs?

Cities near Sun Prairie, WI with the most Manager Data Engineering job openings:

Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Sun Prairie, WI as of August 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $94,516 per year, or $45.4 per hour.

Data Crawling - Consultant

Rubick

Oregon, WI • On-site

$90 - $130/hr

Other

Posted 4 days ago

Job description

You will be responsible for building and maintaining Rubick's data acquisition engine by extracting, validating, and structuring product information from eCommerce websites and marketplaces. This role focuses on developing scalable web crawling solutions that power Product Discovery, Search, Catalog Intelligence, and Market Intelligence platforms.

The role involves three areas: Part 1: The Fundamentals | Part 2: AI-Driven Data Crawling Excellence | Part 3: Innovation & Improvements

Part 1: The Fundamentals
  • Develop, maintain, and optimize web crawlers to extract product data from eCommerce websites and marketplaces.
  • Collect structured and unstructured product information, including product details, pricing, images, specifications, and availability.
  • Clean, validate, and organize extracted datasets to ensure accuracy and consistency.
  • Monitor crawler performance, identify failures, and resolve data extraction issues.
  • Collaborate with Product, Engineering, and Data teams to ensure reliable and timely data collection.
  • Maintain documentation for crawling processes, extraction rules, and data quality standards.
Part 2: AI-Driven Data Crawling Excellence
  • Leverage AI-powered extraction techniques to improve data accuracy and extraction efficiency.
  • Build intelligent crawling workflows using Python and modern web automation frameworks.
  • Implement automated data validation and monitoring systems to maintain high-quality datasets.
  • Collaborate with AI and Data Engineering teams to support Machine Learning models and Product Intelligence systems.
  • Continuously optimize crawling performance for speed, scalability, and reliability.
  • Identify opportunities to automate repetitive extraction and validation workflows.
  • Improve data collection strategies by adopting new crawling technologies and AI-assisted solutions.
  • Build reusable crawling frameworks and standardized extraction pipelines.
  • Contribute to knowledge repositories, documentation, and process improvements across the data acquisition function.
To Have
  • 1+ year of experience in Web Crawling, Data Scraping, Product Matching, Data Extraction, or similar roles.
  • Strong proficiency in Python for web scraping and automation.
  • Hands‑on experience with BeautifulSoup, Scrapy, Selenium, Playwright, or similar frameworks.
  • Good understanding of HTML, CSS, XPath, JSON, and DOM structures.
  • Strong analytical and problem‑solving skills.
  • Ability to work with large datasets while maintaining high data quality.
  • Experience in eCommerce, Retail, Marketplace Operations, or Catalog Management is preferred.
  • Exposure to AI-assisted data extraction, Product Intelligence, or Machine Learning data pipelines is a strong advantage.
About Rubick : Company Overview

Rubick OS is a leading platform for brands and marketplaces, enabling seamless management of catalog automation, pricing and competitive intelligence, product listing intelligence, CAST systems, and brand and assortment intelligence.

Our solutions are used across five countries by major brands and marketplaces, including Amazon, Myntra, Reliance Group, Nykaa, Flipkart, Rare Rabbit, Decathlon, Celio, The Bay, Kiabi, Myer, Jumbo, and many more.

Work Model

Work from home - Monday to Saturday

Team Size

250+ Employees

Investors

Invested by Innospark US, Betatron Hong Kong, MJV India, 1Crowd India , and other investors.

Rubick.ai is a place to work if you want to build something foundational rather than incremental—it’s aiming to become the AI operating layer for ecommerce, solving complex, real-world problems across cataloging, pricing, and marketplace operations at scale.

You get high ownership, direct impact, and exposure to various parts of the business, making you an entrepreneur in-house. Rubick operates in the AI segment, which means you will be at the forefront of the technological revolution.

Rubick is profitable and growing and is looking to work with 10,000 brands in the next 2-3 years .

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