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

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: RemoteCommitment: Part-time, flexible hoursThis is a large-scale project with a leading global tech company, with an immediate start and a first delivery in SeptemberCompensation: 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.