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Senior AI Data Engineer - Chile (Remote, Part-time) Job Opening In WorkFromHome – Now Hiring Welo Data


Job description

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Welo Data 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.

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

Overview

Welo Data is seeking a Senior Data Engineer with strong Python skills focused on data quality, engineering rigor, and visualization fidelity.

The role involves creating realistic datasets, writing prompts, and reproducing target visualizations to support data tasks.

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.

  • 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).

  • 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.

Seniority level

  • Entry level

Employment type

  • Part-time

Job function

  • Administrative, Research, and Information Technology

Industries

  • Technology, Information and Internet, Technology, Information and Media, and Translation and Localization

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Required Skill Profession

Bases De Datos, Analítica Y Bi


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Unlock Your Senior AI Potential: Insight & Career Growth Guide


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Are You Looking for Senior AI Data Engineer Chile (Remote, Part time) Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Welo Data adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Chile laws and regulations

What Is the Average Salary Range for Senior AI Data Engineer Chile (Remote, Part time) Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in WorkFromHome. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Senior AI Data Engineer Chile (Remote, Part time)?

Key qualifications for Senior AI Data Engineer Chile (Remote, Part time) typically include Bases De Datos, Analítica Y Bi and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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To improve your chances of getting hired for Senior AI Data Engineer Chile (Remote, Part time), consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Senior AI Data Engineer Chile (Remote, Part time) Job Success

Welo Data interview tips for Senior AI Data Engineer   Chile (Remote, Part time)

Here are some tips to help you prepare for and ace your Senior AI Data Engineer Chile (Remote, Part time) job interview:

Before the Interview:

Research: Learn about the Welo Data's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Senior AI Data Engineer Chile (Remote, Part time) interview at Welo Data, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Welo Data's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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