AI Data Engineers

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

Job summary

A fast-growing startup is seeking AI Data Engineers to tackle critical challenges in AI surrounded by data. The role involves building scalable data pipelines and working on unstructured data. With a remote-first culture, competitive compensation, and impactful projects in healthcare and media, this position invites those with a passion for innovative data engineering.

Benefits

Competitive equity

Remote-first environment

Meaningful equity

Qualifications

• 5+ years of data engineering experience, preferably in startups.
• Fluency with Python and/or Java in production systems.
• Experience with modern data infrastructure, orchestration tools, and big data environments.

Responsibilities

• Architect and implement scalable, automatable data pipelines.
• Optimize storage and retrieval processes.
• Collaborate with a small engineering team to scale infrastructure.

Skills

Python

Java

Data Engineering

Data Compliance

Big Data

Tools

Data Infrastructure

Orchestration Tools

Job description

Join to apply for the AI Data Engineers role at Jenn Nguyen and Friends.

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?

We're 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, sourcing and preparing data is complex, expensive, and often unreliable. Our platform enables the secure, efficient, and privacy-centric exchange of training data, helping ambitious AI companies build smarter models, faster.

With a small but mighty team (18 and counting), recent funding, and a focus on impact, we're building infrastructure that could define the future of AI.

What's In It for You?

• A front-row seat at a key AI challenge
• Meaningful equity and competitive compensation
• 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 motivated teammates from diverse backgrounds

What Will You Do?

• Architect and implement scalable, automatable data pipelines focusing on validation, transformation, and compliance
• Optimize storage and retrieval to reduce costs and improve performance
• Extract, process, and transform data types like clinical notes, video metadata, and diagnostic imaging
• Collaborate with a small, effective engineering team to scale infrastructure and deliver impact
• Support AI and product use cases in healthcare and media

What Will You Need?

• 5+ years of data engineering experience, preferably in startups
• Fluency with Python and/or Java in production systems
• Experience with modern data infrastructure, orchestration tools, and big data environments
• Ability to work independently on end-to-end projects
• Bonus: experience with data privacy, healthcare compliance (HIPAA), or media data pipelines

We seek curious minds who think beyond the stack and care about building data infrastructure that fuels AI's future.

Interested? Apply now or reach out to learn more.