Sandpiper Productions

The Data/AI Engineer will construct and enhance data pipelines and implement AI-driven automations. The role involves collaborating directly with the owner on live technical projects. | Candidates should have proficiency in Python, React, and Django, along with experience in GitHub workflows. Familiarity with AI/LLM tools and excellent English communication skills are also required. | 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. Enhance and support existing development projects utilizing React, Django, FastAPI, GitHub, etc. Implement AI/LLM tools to automate workflows and analyses. Collaborate directly with the owner on live technical projects. 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: Enjoy a flexible part-time schedule. Work directly with the company owner on technical projects. Embrace a remote-first culture. Opportunity to advance into a larger role. 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!