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

Remote from: Argentina
Annual salary: Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Department: Data Science & Analytics
Employment type: Part Time,
Job posted: 10 Sep 2025
Apply before: 10 Oct 2025
Experience level: Senior
Views / Applies: 163 / 58

Global Content. Smarter AI. Better Business.

Translation & Localization
1997

Actively Hiring

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.

Apply now >