

Saransh Inc
Data Modeler
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Modeler with a focus on the insurance domain, requiring long-term contract work in Brighton, MA, four days onsite. Key skills include RDBMS, AWS Redshift, data modeling, and business analysis. Life and annuity insurance knowledge is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 3, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Boston, MA
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🧠 - Skills detailed
#Redshift #Security #MS SQL (Microsoft SQL Server) #AWS (Amazon Web Services) #Data Mart #Data Modeling #Business Analysis #Physical Data Model #Data Architecture #ML (Machine Learning) #RDBMS (Relational Database Management System) #NoSQL #Data Lake #Visualization #SQL (Structured Query Language)
Role description
Data Modeler with Insurance Domain
Brighton, MA (4 days a week onsite)
Long Term Contract
Job Description
• Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, AWS Redshift Datawarehouse,operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL).
• Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively.
• Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning).
• Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models
• Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
• Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.
• Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC.
• Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.
• Understand business requirements and define entities, attributes, mapping, relationships, and integrity rules with the proper naming conventions/standards
• Life and annuity Insurance domain knowledge.
• To assist business analysts and developers to understand and use data models that organize the data into tables and accounts for access.
Data Modeler with Insurance Domain
Brighton, MA (4 days a week onsite)
Long Term Contract
Job Description
• Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, AWS Redshift Datawarehouse,operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL).
• Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively.
• Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning).
• Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models
• Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
• Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.
• Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC.
• Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.
• Understand business requirements and define entities, attributes, mapping, relationships, and integrity rules with the proper naming conventions/standards
• Life and annuity Insurance domain knowledge.
• To assist business analysts and developers to understand and use data models that organize the data into tables and accounts for access.