Mindlance
ML Data Pipeline Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an ML Data Pipeline Engineer in Seattle, WA, hybrid, with a 12-month contract. Key requirements include over 5 years of data engineering experience, proficiency in Python, cloud platforms, and strong data quality focus.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
440
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🗓️ - Date
December 18, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
-
📍 - Location detailed
Seattle, WA
-
🧠 - Skills detailed
#GCP (Google Cloud Platform) #ML (Machine Learning) #Libraries #NumPy #Azure #Python #Data Quality #Distributed Computing #Automation #AWS (Amazon Web Services) #Data Pipeline #Scripting #SQL (Structured Query Language) #Data Science #Pandas #Cloud #Virtualization #Programming #Data Warehouse #Data Engineering #"ETL (Extract #Transform #Load)"
Role description
Job Details:
Job Title: ML Data Pipeline Engineer
Location: Seattle WA - Hybrid
Job Type: Full-Time,
Contractor Duration: 12 months
Job Description:
• Assist team in building, maintaining, and running essential ML Data Pipelines.
Minimum Requirements:
• >5yr 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
Soft Skills
• Able to execute tasks independently and creatively
• Languages: Fluent in English or Farsi
EEO:
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
Job Details:
Job Title: ML Data Pipeline Engineer
Location: Seattle WA - Hybrid
Job Type: Full-Time,
Contractor Duration: 12 months
Job Description:
• Assist team in building, maintaining, and running essential ML Data Pipelines.
Minimum Requirements:
• >5yr 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
Soft Skills
• Able to execute tasks independently and creatively
• Languages: Fluent in English or Farsi
EEO:
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
