TalentBurst, an Inc 5000 company
Data Engineer II
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer II in Seattle, WA, with a 12+ month contract at a W2 pay rate. Requires 5+ years of experience in data engineering, proficiency in Python, cloud platforms, and strong data quality focus.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
440
-
🗓️ - Date
December 20, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Seattle, WA 98109
-
🧠 - Skills detailed
#Pandas #"ETL (Extract #Transform #Load)" #Virtualization #Data Engineering #Programming #Data Pipeline #Data Quality #ML (Machine Learning) #NumPy #AWS (Amazon Web Services) #Libraries #Data Science #Automation #Azure #SQL (Structured Query Language) #Data Warehouse #Cloud #GCP (Google Cloud Platform) #Distributed Computing #Python #Scripting
Role description
Position: Data Engineer II Location: Seattle WA – Hybrid Interview: Video Duration: 12+ months Note- Only W2 option. We can't do C2C or 1099 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)
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
#TB\_EN #ZR
Position: Data Engineer II Location: Seattle WA – Hybrid Interview: Video Duration: 12+ months Note- Only W2 option. We can't do C2C or 1099 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)
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
#TB\_EN #ZR
