Infotree Global Solutions
ONLY W2 & LOCAL CANDIDATES for Data Engineer in Seattle, WA (Hybrid Role)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Seattle, WA (Hybrid) for a contract of unspecified length, offering competitive pay. Candidates must have 5+ years of experience, strong Python skills, cloud platform expertise (AWS, Azure, GCP), and a focus on data quality.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 19, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Seattle, WA
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🧠 - Skills detailed
#Cloud #Azure #Data Warehouse #Scripting #Virtualization #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #GCP (Google Cloud Platform) #AWS (Amazon Web Services) #Distributed Computing #Data Engineering #Automation #Python #Programming #NumPy #Data Quality #Libraries #Pandas #Data Science
Role description
Minimum Requirements:
• 5+ years of experience.
• Data Engineering:
• Experience with cloud platforms (AWS, Azure, GCP).
• Houman Bedayat, do they need SQL or other Data Science skills, data warehouse, data virtualization?
• Strong Data quality focus: Implementing data validation, cleansing, transformation.
• Data Versioning
• Programming:
• Strong proficiency in Python and related data science libraries (e.g., pandas, NumPy).
• Experience with distributed computing.
• Experience dealing with image-type and array-type data.
• Automation:
• Able to automate repetitive tasks and processes.
• Experience with scripting and automation tools.
Minimum Requirements:
• 5+ years of experience.
• Data Engineering:
• Experience with cloud platforms (AWS, Azure, GCP).
• Houman Bedayat, do they need SQL or other Data Science skills, data warehouse, data virtualization?
• Strong Data quality focus: Implementing data validation, cleansing, transformation.
• Data Versioning
• Programming:
• Strong proficiency in Python and related data science libraries (e.g., pandas, NumPy).
• Experience with distributed computing.
• Experience dealing with image-type and array-type data.
• Automation:
• Able to automate repetitive tasks and processes.
• Experience with scripting and automation tools.
