Data Engineer (Local to California) W2 or 1099.

  • Santa Clara, CA
  • Posted 2 days ago | Updated 2 days ago

Overview

Hybrid
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

Video OR Media
SageMaker
Rekognition
TensorFlow
PyTorch
Python
SQL
Hadoop
AWS

Job Details

Job Title: Data Engineer Video/Media expert
Location: Santa Clara, CA (Hybrid)
Duration: 12+ Months

Job Description
As a Data Engineer Video/Media data guide at client, 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.

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