AI Data Engineers

Jenn Nguyen and Friends; New York (NY); Remote; USD 170,000 - 222,000; Full time

Job summary

Join a fast-growing startup as an AI Data Engineer and tackle the critical challenge of accessing high-quality training data. You will work on optimizing scalable data pipelines in a remote-first environment, enjoying meaningful equity and competitive compensation. This opportunity offers you a front-row seat in solving significant problems in AI, with autonomy in your projects and the chance to collaborate with a diverse and motivated team.

Benefits

Meaningful equity in a growing startup

Competitive compensation

Remote-first work environment

Qualifications

• 5+ years of experience as a data engineer, preferably in startups.
• Fluency in Python and/or Java.
• Experience working with big data in practical situations.

Responsibilities

• Architect and implement scalable data pipelines with a focus on validation.
• Optimize storage and retrieval layers for better performance.
• Collaborate with an engineering team to support AI product use cases.

Skills

Data Engineering

Python

Java

Big Data

Education

Bachelor's degree in Computer Science or related field

Tools

Data orchestration tools

Modern data infrastructure

Job description

2 weeks ago Be among the first 25 applicants

Jenn Nguyen and Friends provided pay range

This range is provided by Jenn Nguyen and Friends. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$170,000.00/yr - $222,000.00/yr

AI Data Engineers Compensation: $170,000 - $222,000 + competitive equity Location: Remote (US-based only) | Visa sponsorship not available Hiring timeline: ASAP | Hiring 3 engineers Who Are We? Were a fast-growing startup tackling one of the most critical and underserved problems in AI: access to high-quality training data. In industries like healthcare and media, the process of sourcing and preparing data is complex, expensive, and often unreliable. Our platform enables the secure, efficient, and privacy-centric exchange of training data, helping some of the worlds most ambitious AI companies build smarter models, faster. With a small but mighty team (18 and counting), recent funding, and a sharp focus on impact, were building the infrastructure that could define the future of AI. What's In It for You? A front-row seat at one of the most strategically important problems in AI Meaningful equity and competitive compensation The chance to work on technically rich challenges involving unstructured data (PDFs, videos, medical imaging, and more) Autonomy to lead projects from vague requirements to structured outcomes Remote-first environment with highly motivated teammates from diverse backgrounds What Will You Do? Architect and implement scalable, automatable data pipelines with strong emphasis on validation, transformation, and compliance Optimize storage and retrieval layers to reduce cost and boost performance across the platform Extract, process, and transform unique data types think clinical notes, video metadata, diagnostic imaging Collaborate with a small but highly effective engineering team to scale infrastructure and deliver product impact Work cross-functionally to support AI and product use cases in healthcare and media What Will You Need? 5+ years of experience in data engineering, ideally including startup environments Fluency with Python and/or Java in production-grade systems Experience with modern data infrastructure, orchestration tools, and working with big data in real-world environments Comfort working independently on projects with limited specability to define and execute end-to-end Bonus: experience with data privacy, healthcare compliance (HIPAA, etc.), or media data pipelines Were looking for curious minds who think beyond the stack and care deeply about building data infrastructure that fuels the next wave of AI. Interested? Apply now or reach out to learn more.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Business Consulting and Services

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