ONLY W2 & LOCALS :: Python Engineer (Data Engineering) in Seattle, WA
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Python Engineer (Data Engineering) contract position in Seattle, WA, lasting "X months" with a pay rate of "$X/hour." Requires 5+ years in data engineering, strong Python skills, AWS S3 experience, and Unix/Linux familiarity.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 13, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Seattle, WA
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🧠 - Skills detailed
#Data Engineering #AWS S3 (Amazon Simple Storage Service) #S3 (Amazon Simple Storage Service) #Scripting #Unix #Data Quality #AWS (Amazon Web Services) #Python #Data Processing #ML (Machine Learning) #Quality Assurance #Data Pipeline #Datasets #Linux
Role description
Description:
We are seeking an experienced Data Engineer (Contractor) to support large-scale data operations for machine learning workflows. You will work closely with external data vendors and internal teams to ingest, validate, curate, and organize high-quality datasets, enabling downstream ML model development. This role requires a strong background in Python.
Requirements:
• 5+ years experience in data engineering, data pipelines, or ML infrastructure.
• Strong proficiency in Python, including data processing and scripting.
• Experience working with AWS S3 for managing and organizing large-scale datasets.
• Familiarity with data quality assurance and curation processes.
• Comfortable operating in Unix/Linux environments, with familiarity in using command-line tools.
• Collaborate with external data collection vendors to track and ingest incoming datasets.
• Design and execute robust data validation and curation pipelines to ensure data quality and consistency.
• Maintain logs and reports to ensure traceability and accountability across data operations.
Description:
We are seeking an experienced Data Engineer (Contractor) to support large-scale data operations for machine learning workflows. You will work closely with external data vendors and internal teams to ingest, validate, curate, and organize high-quality datasets, enabling downstream ML model development. This role requires a strong background in Python.
Requirements:
• 5+ years experience in data engineering, data pipelines, or ML infrastructure.
• Strong proficiency in Python, including data processing and scripting.
• Experience working with AWS S3 for managing and organizing large-scale datasets.
• Familiarity with data quality assurance and curation processes.
• Comfortable operating in Unix/Linux environments, with familiarity in using command-line tools.
• Collaborate with external data collection vendors to track and ingest incoming datasets.
• Design and execute robust data validation and curation pipelines to ensure data quality and consistency.
• Maintain logs and reports to ensure traceability and accountability across data operations.
