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Arc Exclusive
Arc Exclusive

Data Engineer - Fulltime - LATAM/NA/EU

Location

Remote restrictions apply
See all remote locations

Hourly rate

Hourly rate

Min. experience

3 - 5 years

Hours per week

40 hours

Duration

12 weeks

Required skills

PythonLLMData Pipelines

Freelance job
Posted a day ago
Apply now
Actively recruiting / 43 applicants

We’re here to help you

Juliana Torrisi is in direct contact with the company and can answer any questions you may have. Email

Juliana TorrisiJuliana Torrisi, Recruiter

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).

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  • Get hands-on recruiter support
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