Data Engineer - Fulltime - LATAM/NA/EU

What You’ll Do

As a Data Engineer at Fleet, you'll be a key contributor in building large-scale, dynamic data environments that fuel AI systems with realistic, structured, and behaviorally rich inputs.

You’ll be responsible for:

• Designing and maintaining synthetic data generation pipelines at scale (100,000+ files in diverse formats: PDF, Word, Markdown, emails, Python, SVG, etc.)
• Creating data structures and templates that mimic real-world business contexts, including variability in content, style, and structure
• Integrating AI tools into data pipelines for generating content, layout, structure, and visualizations
• Working creatively and independently to simulate realistic user behavior and business scenarios
• Collaborating with a distributed team of engineers and researchers at the frontier of AI development

What We’re Looking For

Must-Have Qualifications:

• 1–5 years of experience as a Data Engineer or in a similar technical role
• Hands-on experience building synthetic or large-scale data pipelines
• Proficiency in Python and modern data engineering tools
• Experience integrating AI/ML tools within pipelines—not just as assistants, but as functional components
• Strong ability to write clean, scalable, well-documented code
• High attention to detail and commitment to quality
• Familiarity with LLM tools and AI development workflows

Nice-to-Have:

• Background in startups or research-heavy environments
• Side projects that demonstrate initiative, creativity, or technical depth

Hiring Process

We’re skipping traditional interviews. Here’s how it works:

• Submit your profile – We’ll review your background and AI experience.
• 2-Week Paid Work Trial – You’ll clone an application using our scaffolded tools.
• Trial Outcome – Based on performance and communication, we’ll offer a 3-month contract (with long-term potential).