TL;DR

Senior AI Data Engineer: Creating realistic datasets, intuitive prompts, and high-quality "golden plots" for insightful data tasks with an accent on data quality, engineering rigor, and visualization fidelity. Focus on bridging technical precision with real-world plausibility and defining flexible, accurate correctness criteria.

Location: Remote from Peru

Compensation: Competitive hourly rate

Company

%hirify_global% is seeking a Senior Data Engineer with world-class Python expertise and a sharp eye for data quality, engineering rigor, and visualization fidelity.

What you will do

Design and build realistic toy/dummy datasets at varying complexity levels.
Write concise, natural-language prompts tailored for business analysts.
Reproduce target visualizations with aesthetic and analytical fidelity using Python code.
Define correctness criteria tailored to open-ended insight prompts.
Rigorously check each example against quality rubrics.

Requirements

10+ years of professional experience in data engineering or applied data science.
Expert-level proficiency in Python (data wrangling, visualization, statistical testing).
Deep understanding of data modeling, prompt crafting, and reproducible workflows.
Exceptional attention to detail and quality control.
Proven success in high-impact technical environments.

Nice to have

Experience with statistics, hypothesis testing, and storytelling with data.
Background in producing training data, developer tools, or reproducible research.
Strong writing skills for crafting precise prompts and correctness criteria.

Culture & Benefits

Part-time, flexible hours.
Opportunity to work on a large-scale project with a leading global tech company.
Immediate start with a first delivery in September.
Uses artificial intelligence (AI) tools to support parts of the hiring process.

Hiring process

English proficiency assessment required.
Python skills test required.