ML Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a ML Data Engineer with 3+ years of experience in data engineering/ML, requiring strong Python skills and proficiency in multimedia formats. Contract length is unspecified, with pay on a W2 basis, and work is on-site.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
800
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🗓️ - Date discovered
September 26, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Redmond, WA
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🧠 - Skills detailed
#Datasets #SciPy #Data Processing #PyTorch #Pandas #Compliance #"ETL (Extract #Transform #Load)" #ML (Machine Learning) #REST API #Scripting #REST (Representational State Transfer) #SQL (Structured Query Language) #Python #Data Engineering #Linux #Data Pipeline #Scala #NumPy #Data Science #Shell Scripting #API (Application Programming Interface)
Role description
Local Candidate required:
Only W2 required No C2C
Overview
Seeking a Data Engineer with strong Python skills to build pipelines and prepare high-quality datasets for ML research using audio, video, and sensor data.
Responsibilities
• Develop and maintain scalable data pipelines.
• Process, clean, and transform multimedia datasets.
• Collaborate with researchers to integrate prototypes into production.
• Ensure data validation, quality, and compliance.
Requirements
• 3+ years in data engineering/ML (Bachelor’s in CS/Data Science or equivalent).
• Strong Python (NumPy, Pandas, SciPy), SQL, Linux/shell scripting.
• Experience with multimedia formats (audio/video).
Preferred
• PyTorch or other ML frameworks.
• Database and REST API experience.
• Background in DSP, acoustics, or multimodal datasets.
Experience Level: ~5 years
Notes
Hands-on data processing required (not a pure software engineering role).
Local Candidate required:
Only W2 required No C2C
Overview
Seeking a Data Engineer with strong Python skills to build pipelines and prepare high-quality datasets for ML research using audio, video, and sensor data.
Responsibilities
• Develop and maintain scalable data pipelines.
• Process, clean, and transform multimedia datasets.
• Collaborate with researchers to integrate prototypes into production.
• Ensure data validation, quality, and compliance.
Requirements
• 3+ years in data engineering/ML (Bachelor’s in CS/Data Science or equivalent).
• Strong Python (NumPy, Pandas, SciPy), SQL, Linux/shell scripting.
• Experience with multimedia formats (audio/video).
Preferred
• PyTorch or other ML frameworks.
• Database and REST API experience.
• Background in DSP, acoustics, or multimodal datasets.
Experience Level: ~5 years
Notes
Hands-on data processing required (not a pure software engineering role).
