Senior Data Engineer - Brazil (Remote, Part-Time)

Welocalize; Brasil; Teletrabalho; BRL 80.000 - 120.000; Tempo parcial

Resumo da oferta

A leading localization services company is seeking a Senior Data Engineer with 10+ years of experience. This remote part-time role involves designing datasets, writing natural-language prompts, and creating visualizations using Python. The ideal candidate must have deep expertise in data quality and engineering. Excellent attention to detail is critical. Competitive hourly rate offered.

Qualificações

• 10+ years of professional experience in data engineering or applied data science.
• Deep understanding of data modeling and reproducible workflows.
• Proven success in high-impact technical environments.

Responsabilidades

• Design and build realistic toy datasets reflecting real-world scenarios.
• Write concise, grammatically precise prompts for business analysts.
• Reproduce target visualizations with aesthetic and analytical fidelity.
• Document correctness criteria and provide supporting documentation.
• Check each example against quality rubrics.

Conhecimentos

Expert-level proficiency in Python

Data wrangling

Statistical testing

Attention to detail

Quality control

Ferramentas

pandas

matplotlib

seaborn

plotly

Descrição da oferta de emprego

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 (<40 words) tailored for business analysts. 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.