

Brooksource
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer on a contract-to-hire basis, requiring expertise in Snowflake, AWS Glue, and SageMaker. Candidates must have strong data architecture knowledge and experience in building cloud-based data pipelines.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 29, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Nashville Metropolitan Area
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🧠 - Skills detailed
#Data Pipeline #AWS Glue #Storage #Data Engineering #SageMaker #Data Quality #"ETL (Extract #Transform #Load)" #Data Architecture #AWS (Amazon Web Services) #Data Science #Snowflake #Cloud
Role description
Data Engineer
Contract-to-hire
Key Responsibilities
• Build, clean, and maintain end‑to‑end data pipelines to support downstream analytics and data science use cases.
• Design and implement data solutions aligned with best practices in data architecture.
• Ensure data quality, reliability, and performance across ingestion, transformation, and storage layers.
• Collaborate with cross‑functional teams to understand data requirements and support evolving business needs.
Core Technologies
• Snowflake
• AWS Glue
• SageMaker (Unified)
Required Qualifications
• Strong understanding of data architecture concepts and modern data engineering principles.
• Hands‑on experience building and managing data pipelines in cloud‑based environments.
• Ability to work independently while collaborating effectively with engineering and analytics teams.
Data Engineer
Contract-to-hire
Key Responsibilities
• Build, clean, and maintain end‑to‑end data pipelines to support downstream analytics and data science use cases.
• Design and implement data solutions aligned with best practices in data architecture.
• Ensure data quality, reliability, and performance across ingestion, transformation, and storage layers.
• Collaborate with cross‑functional teams to understand data requirements and support evolving business needs.
Core Technologies
• Snowflake
• AWS Glue
• SageMaker (Unified)
Required Qualifications
• Strong understanding of data architecture concepts and modern data engineering principles.
• Hands‑on experience building and managing data pipelines in cloud‑based environments.
• Ability to work independently while collaborating effectively with engineering and analytics teams.






