

Sr Data Engineer with Healthcare-Cincinnati, OH or Charlette, NC(only Local Candidates)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Data Engineer with Healthcare experience, based in Cincinnati, OH or Charlotte, NC, for a 10+ month contract at a pay rate of "X". Requires strong pharmacy data knowledge, data modeling expertise, and familiarity with ETL processes.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
August 30, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Cincinnati, OH
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π§ - Skills detailed
#Physical Data Model #Data Engineering #Agile #Data Analysis #Data Integration #Documentation #Snowflake #Data Accuracy #Data Architecture #Datasets #Storage #Scala #"ETL (Extract #Transform #Load)" #Data Modeling #Scrum #Metadata
Role description
Sr Data Engineer with Healthcare
Location:-Cincinnati, OH or Charlotte, NC(only Local candidates)
Client Kroger
Exp:10+yrs
Job Description
The Data Engineer will build and manage the consumption of pharmacy data into the health and wellness data analytics platform, ensuring data is organized, successful, and usable for advanced analytics.
Required Qualifications:
Strong understanding of pharmacy, clinical, and healthcare data
Several years of experience in data modeling
Proven experience in data modeling within healthcare/pharmacy industries
Advanced technical skills in data integration and analytics platforms
Ability to work with complex, multi-source healthcare datasets
Experience working with data architects, data analysts, and business stakeholders
Snowflake platform knowledge a plus
Excellent problem-solving and analytical skills
Experience in Agile or Scrum environments
Several years of experience in data modeling
Knowledge of ETL or ELT processes
Attention to detail and commitment to data accuracy
Strong communication and collaboration skills with both technical and non-technical stakeholders.
Key Responsibilities
Develop conceptual, logical, and physical data models
Integrate diverse pharmacy data sources into the analytics platform
Define data structures, relationships, and storages strategies within database
Optimize models for performance and scalability
Maintain data model documentation, including data dictionaries and metadata
Establish and enforce data modeling standards and best practices
Document and communicate data models
Note to Vendors
The data engineer will be part of the Associate Technology pillar, specifically supporting Health and Wellness
This team specializes in transforming raw healthcare data into meaningful insights, with a focus on creating comprehensive wellness solutions through advanced data integration techniques
Sr Data Engineer with Healthcare
Location:-Cincinnati, OH or Charlotte, NC(only Local candidates)
Client Kroger
Exp:10+yrs
Job Description
The Data Engineer will build and manage the consumption of pharmacy data into the health and wellness data analytics platform, ensuring data is organized, successful, and usable for advanced analytics.
Required Qualifications:
Strong understanding of pharmacy, clinical, and healthcare data
Several years of experience in data modeling
Proven experience in data modeling within healthcare/pharmacy industries
Advanced technical skills in data integration and analytics platforms
Ability to work with complex, multi-source healthcare datasets
Experience working with data architects, data analysts, and business stakeholders
Snowflake platform knowledge a plus
Excellent problem-solving and analytical skills
Experience in Agile or Scrum environments
Several years of experience in data modeling
Knowledge of ETL or ELT processes
Attention to detail and commitment to data accuracy
Strong communication and collaboration skills with both technical and non-technical stakeholders.
Key Responsibilities
Develop conceptual, logical, and physical data models
Integrate diverse pharmacy data sources into the analytics platform
Define data structures, relationships, and storages strategies within database
Optimize models for performance and scalability
Maintain data model documentation, including data dictionaries and metadata
Establish and enforce data modeling standards and best practices
Document and communicate data models
Note to Vendors
The data engineer will be part of the Associate Technology pillar, specifically supporting Health and Wellness
This team specializes in transforming raw healthcare data into meaningful insights, with a focus on creating comprehensive wellness solutions through advanced data integration techniques