Data Pipeline Engineer

Pocstock, Inc.; Newark (NJ); On-site; USD 90,000 - 120,000; Full time

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

The Data Pipeline Engineer owns the systems that manage all data moving through pocstock — from intake to processing to delivery. This role combines data engineering, AI tooling, and quality control to ensure data flows reliably and is structured correctly at every stage.

Success in this role means building systems that reliably move data from intake to delivery without breakdowns, maintaining high data quality and consistency across all stages, and enabling scalable handling of large volumes of content and datasets.

What You'll Do

• Build and maintain systems that manage data intake, processing, and delivery
• Handle large volumes of image, video, and metadata across workflows
• Work with our 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
• Support dataset packaging and delivery to customers
• Work with operations and project teams to improve workflows
• Identify inefficiencies and improve systems for scale

How We Measure Success

• Reliable, uninterrupted flow of data across systems
• High data quality and consistency
• Minimal errors or data loss
• Efficient handling of increasing data volume
• Reduced manual work through automation
• Strong coordination with internal and external teams

Skills

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

Experience

• 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
• Experience working with image, video, or large datasets preferred
• Strong problem-solving and systems thinking skills

Applications are managed through Gusto. pocstock is an equal opportunity employer and does not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status.