Arbor TekSystems
Data Engineer with Semantic Data Modeling
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with Semantic Data Modeling, offering a 12-month remote contract. Candidates must have 8+ years of experience, strong AWS skills, and expertise in ontology tools like dbt Labs and QuickSight.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 10, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Cincinnati, OH
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🧠 - Skills detailed
#Data Quality #Data Modeling #dbt (data build tool) #Data Lineage #Visualization #Data Lake #Data Pipeline #Knowledge Graph #Data Engineering #AWS (Amazon Web Services) #Data Governance
Role description
Position:- Data Engineer with Semantic Data Modeling
Location: Remote
Job Type: Contract
Duration: 12 Months with possible extension
Mandatory Skills:
Hands-on experience with AWS, specifically in implementing Data Zone and related services.
Hands-on experience with any ontology tools such as dbt Labs, QuickSight, AtScale, or DataWalk.
Utilize AWS services, particularly Data Zone, to build and manage data pipelines and semantic layers.
Leverage ontology tools such as dbt products, QuickSight, AtScale, and DataWalk to enhance data visualization and reporting capabilities.
Develop and maintain a metric store with knowledge graph capabilities to ensure data quality and enable data lineage as part of data governance.
Basic Qualifications (Required Skills/Experience):
8+ years of experience as a data engineer. Strong understanding of Semantic Modeling, Data Products, and datalake.
Proven experience in data modeling, particularly for semantic layers in a business-facing role.
Strong understanding of data products and their applications within a data lake house architecture.
Experience in developing a metric store with knowledge graph capabilities to enhance data quality and lineage.
Excellent communication skills, with the ability to convey complex data concepts to non-technical stakeholders.
Position:- Data Engineer with Semantic Data Modeling
Location: Remote
Job Type: Contract
Duration: 12 Months with possible extension
Mandatory Skills:
Hands-on experience with AWS, specifically in implementing Data Zone and related services.
Hands-on experience with any ontology tools such as dbt Labs, QuickSight, AtScale, or DataWalk.
Utilize AWS services, particularly Data Zone, to build and manage data pipelines and semantic layers.
Leverage ontology tools such as dbt products, QuickSight, AtScale, and DataWalk to enhance data visualization and reporting capabilities.
Develop and maintain a metric store with knowledge graph capabilities to ensure data quality and enable data lineage as part of data governance.
Basic Qualifications (Required Skills/Experience):
8+ years of experience as a data engineer. Strong understanding of Semantic Modeling, Data Products, and datalake.
Proven experience in data modeling, particularly for semantic layers in a business-facing role.
Strong understanding of data products and their applications within a data lake house architecture.
Experience in developing a metric store with knowledge graph capabilities to enhance data quality and lineage.
Excellent communication skills, with the ability to convey complex data concepts to non-technical stakeholders.
