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Data Engineer - Data Modeler
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Data Engineer - Data Modeler
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Apollo RetailColumbus, OH, USData Engineer - Data Modeler
ExperisColumbus, OH, United States- Full-time
Job Title : Data Engineer & Modeler
Location : Columbus, OH; Dallas, TX; or Broken Arrow, OK (Remote candidates considered)
Work Schedule : M-F
Contract Details : 6mo
Pay Rate : $100
Candidates : open US Citizens or Green Card Holders
Skills and Experience Needed :
- Familiarity with modern Agile practices (SAFE, LeSS, Lean, Scrum, XP)
- Ability to adapt Agile methodologies within a Waterfall IT controls environment
- Understanding of InfoSec control levels
Position Overview
The Data Engineer - Data Modeler plays a critical leadership role in defining and refining enterprise data models. This position will guide the selection and development of data models for a variety of applications across the organization, from business-centric solutions to insights-driven apps. You'll work collaboratively across technical and business teams to ensure the integrity and utility of data models enterprise-wide. The ideal candidate is a highly skilled, proactive technologist with a passion for data modeling, problem-solving, and continuous learning.
Key Responsibilities :
Translate business needs into long-term, sustainable data models.
Work closely with software engineers, business units, and service teams to ensure alignment on data needs.
Create and maintain architecture documentation, data flow diagrams, and data models.
Regularly evaluate and refine existing data models, ensuring accuracy and efficiency.
Provide direction to Data Engineering teams in developing, populating, and maintaining data within the enterprise data model.
Develop and maintain data models for NoSQL databases such as Cosmos DB and MongoDB.
Perform data management tasks related to data quality, governance, and metadata management.
Qualifications & Experience
General Expectations
This role is an excellent opportunity for a seasoned Data Engineer to leverage their technical expertise and leadership in data modeling to drive organizational insights and data strategy.