Senior AI Data Engineer - Chile (Remote, Part-time)

Welocalize; Chile; A distancia; CLP 20.000.000 - 40.000.000; A tiempo parcial

Descripción de la vacante

A leading localization services company is seeking a Senior Data Engineer with over 10 years of experience and expert-level Python skills. This remote part-time role involves designing realistic datasets, writing intuitive prompts, and developing high-quality visualizations. The ideal candidate should have a deep understanding of data modeling and a strong commitment to quality. Join us to empower data-driven insights with your engineering expertise!

Formación

• 10+ years of professional experience in data engineering or applied data science.
• Expert-level proficiency in Python for data tasks.
• Exceptional attention to detail and quality control.

Responsabilidades

• Design and build realistic datasets with varying complexity.
• Write precise natural-language prompts for data tasks.
• Create target visualizations with high fidelity.

Conocimientos

Python

Data quality control

Data modeling

Data visualization

Herramientas

pandas

matplotlib

seaborn

plotly

Descripción del empleo

Overview

Welocalize is seeking a Senior Data Engineer with world-class Python expertise and a sharp eye for data quality, engineering rigor, and visualization fidelity. In this role, you will create realistic datasets, write intuitive prompts, and develop high-quality “golden plots” to power insightful data tasks. You\'ll bridge technical precision with real-world plausibility—crafting examples that meet strict quality rubrics and correctness criteria.

Role Details

Location: Remote

Commitment: Part-time, flexible hours

This is a large-scale project with a leading global tech company, with an immediate start and a first delivery in September

Compensation: Competitive hourly rate

Key Responsibilities

• Dataset Design & Curation
  • Design and build realistic toy/dummy datasets at varying complexity levels (simple, moderate, complex).
  • Ensure datasets reflect real-world scenarios while remaining clean, reproducible, and well-structured (CSV format).
• Prompt Engineering
  • Write concise, natural-language prompts (
  • Ensure prompts are grammatically precise and align with project style (non-technical, not overly directive, no raw metric requests).
• Golden Plot Creation
  • Reproduce target visualizations with aesthetic and analytical fidelity.
  • Write clean, reproducible Python code using libraries like pandas, matplotlib, seaborn, and plotly.
  • Maintain high-quality code standards: well-commented, organized, and reproducible.
• Correctness Criteria & Documentation
  • Define correctness criteria tailored to open-ended insight prompts.
  • Ensure criteria are flexible, accurate, and avoid assuming fixed solutions.
  • Provide supporting documentation with expected values and metrics (e.g., means, correlations, test results).
• Quality Assurance
  • Rigorously check each example against quality rubrics (correctness, completeness, clarity, justification).
  • Maintain a high standard of accuracy across data, prompts, and visualizations.

Required Qualifications

• 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.

Preferred Qualifications

• 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.

Disclaimer

• Please note: As this opportunity is intended for experienced professionals, applicants will be required to complete both an English proficiency assessment and a Python skills test. These evaluations are designed to ensure the necessary level of expertise for the role. We kindly ask that only those with relevant experience apply.

If you\'re a data expert who thrives on quality, clarity, and impactful engineering, we’d love to hear from you.