Data Modeler with Aerospace Background Location: Remote

ESR Healthcare; United States; Hybrid; USD 90,000 - 120,000; Full time

Job summary

A leading healthcare provider is seeking a Data Modeler with an aerospace background to design and implement data models that support data products. The role requires at least 5 years of experience in data modeling and strong proficiency in tools like ER/Studio and Erwin. Responsibilities include collaborating with stakeholders to define business rules, creating documentation, and ensuring data governance principles are in place. This position offers a remote work opportunity.

Qualifications

• 5+ years of experience in data modeling and database design.
• Familiarity with AWS data services (Redshift, Glue, S3) is a plus.

Responsibilities

• Design conceptual, logical, and physical data models for data products.
• Profile and document key metrics of existing data products.
• Work with stakeholders to define business rules, KPIs, and consumption requirements.
• Create data dictionaries, ER diagrams, and metadata documentation.
• Define and implement data governance principles for certified data products.

Skills

Data Modeling Tools

Database Expertise

Data Governance

Soft Skills

Education

Bachelor’s degree in Data Science, Computer Science, or related field

Tools

ER/Studio

Erwin

Redshift

PostgreSQL

DynamoDB

Job description

DataModeler with Aerospace Background

Location: Remote

Experience: 13+

Role Summary

The Data Modeler will design and implement data models to support the development of curated, reusable, and governed data products. This role will focus on creating source and target state models, ensuring data quality, and enabling efficient data consumption.

Key Responsibilities

• Data Modeling: Design conceptual, logical, and physical data models for data products.
• Data Analysis: Profile and document key metrics of existing data products, including lineage, quality, and reuse potential.
• Collaboration: Work with stakeholders to define business rules, KPIs, and consumption requirements.
• Documentation: Create data dictionaries, ER diagrams, and metadata documentation.
• Governance: Define and implement data governance principles for certified reusable data products.

Required Skills

• Data Modeling Tools: Proficiency in tools like ER/Studio, Erwin, or similar.
• Database Expertise: Strong knowledge of relational and non-relational databases (Redshift, PostgreSQL, DynamoDB).
• Data Governance: Experience with data quality, lineage, and compliance frameworks.
• Soft Skills: Strong analytical, documentation, and communication skills.

Qualifications

• Bachelor’s degree in Data Science, Computer Science, or related field.
• 5+ years of experience in data modeling and database design.
• Familiarity with AWS data services (Redshift, Glue, S3) is a plus.