Senior Data Engineer – Argentina (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 DetailsLocation: 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 & CurationDesign 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 EngineeringWrite 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 CreationReproduce 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 & DocumentationDefine 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 AssuranceRigorously 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
Key Responsibilities
Dataset Design & CurationDesign 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 EngineeringWrite 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 CreationReproduce 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 & DocumentationDefine 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 AssuranceRigorously 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