Infotree Global Solutions
Machine Learning Data Engineer - ONLY W2
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Data Engineer II in Seattle, Washington (Hybrid) for 12 months at a pay rate of "W2". Requires over 5 years of experience in data engineering, cloud platforms, Python, and automation.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
December 19, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Seattle, WA
-
🧠 - Skills detailed
#Cloud #Azure #Data Warehouse #Data Pipeline #Scripting #Virtualization #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #GCP (Google Cloud Platform) #AWS (Amazon Web Services) #Distributed Computing #ML (Machine Learning) #Data Engineering #Automation #Python #Programming #NumPy #Data Quality #Libraries #Pandas #Data Science
Role description
Role: Machine Learning Data Engineer II
Location: Seattle, Washington (Hybrid)
Duration: 12 Months
Job description:
• Assist team in building, maintaining, and running essential ML Data Pipelines.
Minimum Requirements:
• >5yr experience
• Data Engineering:
o Experience with cloud platforms (AWS, Azure, GCP)
o do they need SQL or other Data Science skills, data warehouse, data virtualization?
o Strong Data quality focus: Implementing data validation, cleansing, transformation
o Data Versioning
• Programming:
o Strong proficiency in Python and related data science libraries (e.g., pandas, NumPy).
o Experience with distributed computing
o Experience dealing with image-type and array-type data
• Automation
o Able to automate repetitive tasks and processes
o Experience with scripting and automation tools
• Soft Skills
o Able to execute tasks independently and creatively
o Languages: Fluent in English or Farsi
Role: Machine Learning Data Engineer II
Location: Seattle, Washington (Hybrid)
Duration: 12 Months
Job description:
• Assist team in building, maintaining, and running essential ML Data Pipelines.
Minimum Requirements:
• >5yr experience
• Data Engineering:
o Experience with cloud platforms (AWS, Azure, GCP)
o do they need SQL or other Data Science skills, data warehouse, data virtualization?
o Strong Data quality focus: Implementing data validation, cleansing, transformation
o Data Versioning
• Programming:
o Strong proficiency in Python and related data science libraries (e.g., pandas, NumPy).
o Experience with distributed computing
o Experience dealing with image-type and array-type data
• Automation
o Able to automate repetitive tasks and processes
o Experience with scripting and automation tools
• Soft Skills
o Able to execute tasks independently and creatively
o Languages: Fluent in English or Farsi
