

Mindlance
Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a 6-month contract, offering a competitive pay rate. Key skills required include 5+ years of data engineering experience, proficiency in Python, cloud platforms (AWS, Azure, GCP), and fluency in Farsi or Persian.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
432
-
ποΈ - Date
December 17, 2025
π - Duration
Unknown
-
ποΈ - Location
Unknown
-
π - Contract
Unknown
-
π - Security
Unknown
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π - Location detailed
Seattle, WA
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π§ - Skills detailed
#"ETL (Extract #Transform #Load)" #NumPy #Data Quality #Programming #Cloud #Data Engineering #Data Pipeline #Data Science #Scripting #GCP (Google Cloud Platform) #Pandas #Azure #ML (Machine Learning) #Python #Automation #Distributed Computing #AWS (Amazon Web Services) #Libraries
Role description
Job Description:
β’ Assist team in building, maintaining, and running essential ML Data Pipelines.
Language required: Farsi or Persian
Minimum Requirements:
β’ 5+ years experience
β’ Data Engineering:
β’ Experience with cloud platforms (AWS, Azure, GCP)
β’ Strong Data quality focus: Implementing data validation, cleansing, transformation
β’ Data Versioning
β’ Programming:
β’ Strong proficiency in Python and related data science libraries (e.g., pandas, NumPy).
β’ Experience with distributed computing
β’ Experience dealing with image-type and array-type data
β’ Automation
β’ Able to automate repetitive tasks and processes
β’ Experience with scripting and automation tools
β’ Soft Skills
β’ Able to execute tasks independently and creatively
β’ Languages: Fluent in English or Farsi
EEO:
βMindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of β Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.β
Job Description:
β’ Assist team in building, maintaining, and running essential ML Data Pipelines.
Language required: Farsi or Persian
Minimum Requirements:
β’ 5+ years experience
β’ Data Engineering:
β’ Experience with cloud platforms (AWS, Azure, GCP)
β’ Strong Data quality focus: Implementing data validation, cleansing, transformation
β’ Data Versioning
β’ Programming:
β’ Strong proficiency in Python and related data science libraries (e.g., pandas, NumPy).
β’ Experience with distributed computing
β’ Experience dealing with image-type and array-type data
β’ Automation
β’ Able to automate repetitive tasks and processes
β’ Experience with scripting and automation tools
β’ Soft Skills
β’ Able to execute tasks independently and creatively
β’ Languages: Fluent in English or Farsi
EEO:
βMindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of β Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.β






