Overview
On Site
Full Time
Skills
Video
Machine Learning (ML)
Data Engineering
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
SQL
Data Warehouse
Virtualization
Data Quality
FOCUS
Data Validation
Python
Data Science
Pandas
NumPy
Distributed Computing
Scripting
Soft Skills
Fluency
English
Job Details
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:
#TB_EN
#ZR
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.
- >5yr experience
- Data Engineering:
- Experience with cloud platforms (AWS, Azure, Google Cloud Platform)
- 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.