Infotree Global Solutions
ONLY W2 & LOCAL CANDIDATES :: Machine Learning (Data Engineering) in Seattle, WA (Hybrid Role)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Data Engineer in Seattle, WA (Hybrid). Contract length is unspecified, with a pay rate of "unknown." Requires a Bachelor’s degree, 3+ years of experience, strong Python skills, and knowledge of data processing tools and cloud systems.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 7, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Seattle, WA
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🧠 - Skills detailed
#Data Pipeline #AWS S3 (Amazon Simple Storage Service) #Scala #ML (Machine Learning) #Data Engineering #Cloud #Pandas #S3 (Amazon Simple Storage Service) #PyTorch #Shell Scripting #Computer Science #NLP (Natural Language Processing) #"ETL (Extract #Transform #Load)" #Data Processing #AWS (Amazon Web Services) #Python #Data Warehouse #Scripting
Role description
Job Overview:
• We are seeking a detail-oriented Machine Learning Data Engineer who will be responsible for designing, building, and maintaining scalable data pipelines that ingest, transform, and load data from various sources into our cloud-based systems. You will work closely with machine learning teams to ensure that data is accurate, enriched, reliable, and readily available for analytics and model training.
Minimum Qualifications:
• Bachelor’s degree in computer science, Information Technology, or a related field.
• At least 3 years of experience as a Software Engineer or Data Engineer.
• Strong software engineering skills, proficiency in Python.
• Experience with data processing tools and formats such as Apache Parquet, Web Dataset, TorchData, Pandas, Shell Scripting, Protobuf, TFRecord.
• Experience with data curation and enrichment techniques, particularly for large scale text, image, and video data.
• Familiarity with natural language processing (NLP), machine learning (ML) concepts, and frameworks (PyTorch).
• Knowledge of data warehouse architectures and cloud-based systems (e.g., AWS S3).
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.
Job Overview:
• We are seeking a detail-oriented Machine Learning Data Engineer who will be responsible for designing, building, and maintaining scalable data pipelines that ingest, transform, and load data from various sources into our cloud-based systems. You will work closely with machine learning teams to ensure that data is accurate, enriched, reliable, and readily available for analytics and model training.
Minimum Qualifications:
• Bachelor’s degree in computer science, Information Technology, or a related field.
• At least 3 years of experience as a Software Engineer or Data Engineer.
• Strong software engineering skills, proficiency in Python.
• Experience with data processing tools and formats such as Apache Parquet, Web Dataset, TorchData, Pandas, Shell Scripting, Protobuf, TFRecord.
• Experience with data curation and enrichment techniques, particularly for large scale text, image, and video data.
• Familiarity with natural language processing (NLP), machine learning (ML) concepts, and frameworks (PyTorch).
• Knowledge of data warehouse architectures and cloud-based systems (e.g., AWS S3).
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.
