

Hybrid - Data Engineer – Video/Media Expert (W2 or 1099)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Hybrid Data Engineer – Video/Media Expert in Santa Clara, CA, lasting 12+ months, with a pay rate of $50.00 - $60.00 per hour. Key skills include Python, SQL, AWS services, and experience in computer vision and deep learning.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
480
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🗓️ - Date discovered
July 31, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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📄 - Contract type
1099 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Santa Clara, CA 95051
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🧠 - Skills detailed
#AWS (Amazon Web Services) #Data Ingestion #Deep Learning #Big Data #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Batch #Data Engineering #Scala #TensorFlow #SageMaker #PyTorch #ML (Machine Learning) #Datasets #Python #Data Processing #AI (Artificial Intelligence)
Role description
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Job Title: Data Engineer – Video/Media expert
Work location: Santa Clara, CA (Hybrid)
Duration: 12+ Months
Job Description
As a Data Engineer – Video/Media data guide you will craft the future of video and media data processing by applying your data linking expertise with
AWS services like SageMaker, Rekognition, and Kinesis. You will craft scalable architectures for real-time and batch video analysis, ensuring efficient ETL processes that extract valuable data from video streams.
You will play a key role in data ingestion and pipelines for AI models, focusing on surgical procedure recognition, automated video segmentation, and annotation.
Your contribution will ensure the creation of data structures that support advanced analytics and reporting, driving innovation and excellence in our projects.
Responsibilities:
Design and implement scalable architectures for real-time and batch video analysis.
Develop efficient ETL processes for extracting important data from video streams.
Integrate data with medical information systems and prepare datasets for machine learning models.
Build and handle data ingestion and pipelines for AI models, including surgical procedure recognition.
Develop automated video segmentation and annotation processes.
Construct data structures to support advanced analytics and reporting.
Requirements:
Shown expertise in Python, SQL, and big data technologies.
Experience with computer vision and deep learning frameworks such as TensorFlow and PyTorch.
Strong knowledge of AWS AI services, including SageMaker, Rekognition, and Kinesis.
Solid understanding of healthcare data standards and integration.
Outstanding problem-solving skills and attention to detail.
Ability to work collaboratively in a team-oriented environment.
Job Type: Contract
Pay: $50.00 - $60.00 per hour
Benefits:
Health insurance
Paid time off
Application Question(s):
Only W2 (US Citizen; Green Card; H4 EAD; GC-EAD; OPT-EAD) Only
Experience:
AWS services like SageMaker, Rekognition, and Kinesis: 1 year (Required)
Expertise in Python, SQL, and big data: 2 years (Required)
TensorFlow: 2 years (Required)
PyTorch: 2 years (Required)
Ability to Commute:
Santa Clara, CA 95051 (Required)
Ability to Relocate:
Santa Clara, CA 95051: Relocate before starting work (Required)
Work Location: In person