Data Modeler

Location: Oak Creek, Wisconsin

Country: United States

Category: Data & Analytics

Workplace Location: Remote

Employment Type: Contract To Hire

Posted Date: September 14, 2026

Job ID: 651706

Job Description

Contract to Hire - 6+ months
Location - Remote EST hours
Comp - 65-80/hour W2 / conversion salary of 135-155K base
client will not sponsor or transfer H1B - looking for GC/USC only

Data Modeler

Unlock the power of data by joining our innovative team as a Data Modeler, where your expertise will shape how our organization harnesses and visualizes information. This critical role bridges business needs with technical solutions, ensuring our data assets are structured to support operational excellence and advanced analytics in the aerospace industry. If you're passionate about designing scalable and high-quality data models that drive strategic insights, this is the opportunity for you.

What You'll Bring to the Table:

  • Proven experience designing conceptual, logical, and physical data models, with at least three years in a similar role.
  • Strong proficiency in SQL and hands-on experience with data modeling tools like ERwin, SAP PowerDesigner, ER/Studio, or Lucidchart.
  • Solid understanding of data warehousing concepts, dimensional modeling (Star Schema, Snowflake Schema), and familiarity with relational and NoSQL databases.
  • Experience working with cloud data warehouses, particularly on Google Cloud Platform, is essential.
  • Excellent collaboration skills to work effectively with data architects, engineers, analysts, and stakeholders.
  • Knowledge of data governance, metadata management, and ETL/ELT processes is preferred.

Nice to Have Skills:

  • Experience with data modeling in Agile/Scrum environments.
  • Certifications in data management or related fields.
  • Knowledge of additional cloud platforms like AWS or Azure, and data pipeline tools.

Ideal Educational & Experience Background:

  • A Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field.
  • Minimum three years of professional experience as a Data Modeler, Data Architect, or similar role, with an emphasis on scalable data solutions and governance.

#LI-IL1 #TECH

EEO Statement

The staffing industry has seen an increase in people falsely representing themselves as recruiters to gather personal information from job seekers. For your safety, do not provide sensitive data to anyone you have not spoken with thoroughly, never provide banking information during the application process, and always double check the email address of the Recruiter to ensure it’s from an official Planet domain (@theplanetgroup.com or @launchcg.com) - and not a domain with an alternative extension like .net, .org, or .jobs.

The Planet Group and our companies are equal opportunity employers. It is our practice not to discriminate against any employee or applicant based on any criteria, condition or basis protected by laws or regulations in the locations where we do business. All qualified applicants are encouraged to apply. We celebrate diversity and are committed to providing an environment of mutual respect. We believe that diversity, equity, and inclusion enable us to better meet our mission and values while serving our clients across the globe. If you have a disability or handicap and would like us to accommodate you in any reasonable way, please inform your recruiter, or contact us, so that we can discuss the appropriate alternatives available.

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About The Planet Group

The Planet Group is a global professional services firm delivering strategic staffing and advisory solutions. We operate at the intersection of talent and transformation – connecting the right people with the right opportunities in the areas of technology, engineering, accounting & finance, digital marketing, and manufacturing.

As one of the largest staffing companies in the US, we operate with a global reach and a performance-first mindset. We partner with clients to move fast, stay agile, and drive measurable results – building high-impact teams that fuel transformation and growth.

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