Data/AI Engineer
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Before you apply
LocationUnited States
Work moderemote
Typepart-time
DepartmentAdmin Team
Company size201–500 people
First seenOct 5, 2026 · 4w ago
Verified live3w ago
At a glanceSummarised by Seekless from the posting.
Proficiency in Python, React and Django
Experience with GitHub workflows
Familiarity with AI/LLM tools and data science processes
Excellent English communication skills for video collaboration
Ability to work overlapping hours with the EST time zone
Skills
Python
React
Django
FastAPI
GitHub
AI/LLM tools
Benefits
Flexible schedule
Remote first
Summary:
Sandpiper Brands is seeking a part-time Data/AI Engineer who will thrive in a collaborative role, developing data pipelines, dashboards, and AI-driven automations. This role is technical and hands-on, with potential for growth. The position requires working during EST time zone.
Responsibilities:
•
Construct and enhance data pipelines using Python.
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Enhance and support existing development projects utilizing React, Django, FastAPI, GitHub, etc.
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Implement AI/LLM tools to automate workflows and analyses.
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Collaborate directly with the owner on live technical projects.
Requirements
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Proficiency in Python, React and Django.
•
Experience with GitHub workflows.
•
Familiarity with AI/LLM tools and data science processes.
•
Excellent English communication skills for video collaboration.
•
Ability to work overlapping hours with the EST time zone.
About Sandpiper Productions:
Sandpiper Productions is a leading brand ambassador and event marketing company with operations nationwide. We handle complex data operations and are hyper-focused on efficiency and automation, leveraging AI wherever possible to ensure our clients receive the most accurate, useful and timely data possible.
Why Join Us:
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Enjoy a flexible part-time schedule.
•
Work directly with the company owner on technical projects.
•
Embrace a remote-first culture.
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Opportunity to advance into a larger role.
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Develop AI-driven systems from the ground up.
•
Engage with a modern tech stack, including Python, React, and AI/LLM tools.
Compensation:
We offer competitive part-time compensation based on experience and hours, investing in talented engineers and providing market-rate pay.
Ready to shape the future of data-driven marketing operations? Apply today!
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