Senior Data Engineer (Remote, Part-Time)

Welocalize

113d

About The Position

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.

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 Haves

• 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.

Responsibilities

• 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).
• 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).
• 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.
• 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).
• Rigorously check each example against quality rubrics (correctness, completeness, clarity, justification).
• Maintain a high standard of accuracy across data, prompts, and visualizations.

Benefits

• Competitive hourly rate
• Flexible hours

What This Job Offers

• Job Type: Part-time
• Career Level: Senior
• Number of Employees: 1,001-5,000 employees