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The Planet Group

Data Modeler

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What they do

A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.

$101,985 / year median in the U.S.

+14% projected growth

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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