Data Pipeline Engineer - Build Scalable AI Workflows

Pocstock, Inc.

Newark (NJ)

On-site

USD 90,000 - 120,000

Full time

14 days+

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Job summary

Pocstock, Inc. is seeking a Data Pipeline Engineer in Newark, NJ. The role involves managing systems for data intake, processing, and delivery, with a focus on maintaining high data quality and consistency. Candidates should have 2–5 years of experience in data engineering and proficiency in Python and AWS S3. The position emphasizes building reliable, scalable data systems, with exposure to AI tools and large datasets. Join a dynamic team committed to innovation and equal opportunities.

Qualifications

  • 2–5+ years of experience in data engineering, backend systems, or similar roles.
  • Strong experience with Python and development environments.
  • Experience working with AWS S3 or similar storage systems.
  • Familiarity with FTP/SFTP and handling large media files.
  • Understanding of datasets, data structures, and processing workflows.
  • Comfort using AI tools such as ChatGPT or Claude.

Responsibilities

  • Build and maintain systems that manage data intake, processing, and delivery.
  • Handle large volumes of image, video, and metadata across workflows.
  • Work with AI tools for review, tagging, classification, and data enrichment.
  • Monitor systems and resolve issues quickly to prevent delays.
  • Ensure data is organized, structured, and consistent across all stages.

Skills

Python
AWS S3
FTP/SFTP
Data Engineering
AI Tools
Image & Video Pipelines
Systems Thinking
Problem Solving

Job description

Pocstock, Inc. is seeking a Data Pipeline Engineer in Newark, NJ. The role involves managing systems for data intake, processing, and delivery, with a focus on maintaining high data quality and consistency. Candidates should have 2–5 years of experience in data engineering and proficiency in Python and AWS S3. The position emphasizes building reliable, scalable data systems, with exposure to AI tools and large datasets. Join a dynamic team committed to innovation and equal opportunities.
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