Senior Data Engineer - Peru (Remote, Part-Time) at Welocalize

Peru

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Part TimeJob Type

UnknownVisa

TechnologyIndustries

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
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

Responsibilities

Design and build realistic toy/dummy datasets at varying complexity levels (simple, moderate, complex) in CSV format, reflecting real-world scenarios while remaining clean, reproducible, and well-structured
Write concise, natural-language prompts (<40 words) tailored for business analysts, ensuring they 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 using clean, reproducible Python code with libraries like pandas, matplotlib, seaborn, and plotly, maintaining high-quality code standards (well-commented, organized, and reproducible)
Define correctness criteria tailored to open-ended insight prompts, ensuring they 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) and maintain a high standard of accuracy across data, prompts, and visualizations

Skills

Key technologies and capabilities for this role

Pythonpandasmatplotlibseabornplotly

Questions & Answers

Common questions about this position

What is the compensation for this Senior Data Engineer role?

The position offers a competitive hourly rate.

Is this a remote position, and what is the work arrangement?

Yes, this is a fully remote, part-time freelance role with flexible hours.

What skills and experience are required for this role?

Candidates need 10+ years of professional experience in data engineering or applied data science, expert-level proficiency in Python for data wrangling, visualization, and statistical testing, deep understanding of data modeling, prompt crafting, reproducible workflows, and exceptional attention to detail.

What assessments are required as part of the application process?

Applicants must complete an English proficiency assessment and a Python skills test to demonstrate the necessary expertise for the role.

What are the key responsibilities in this position?

Key responsibilities include designing realistic datasets, writing concise prompts for business analysts, creating golden plots with Python libraries like pandas and matplotlib, defining correctness criteria, and performing quality assurance against rubrics.

Welocalize

Provides AI-driven content localization services

About Welocalize

Welocalize assists businesses in enhancing customer engagement by providing localized content that meets the cultural and linguistic needs of different regions. Their AI-enabled Service Delivery Platform, OPAL, streamlines the translation and approval processes, allowing companies to reduce costs and improve efficiency. Unlike competitors, Welocalize leverages AI and automation to deliver services more effectively, resulting in better business outcomes for clients. The company's goal is to empower businesses to connect with international customers through advanced localization solutions.

New York City, New YorkHeadquarters

1997Year Founded

$33.1MTotal Funding

GROWTH_EQUITY_VCCompany Stage

Enterprise Software, AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Accident Insurance

Critical Illness Insurance

Hospital Indemnity Insurance

Telemedicine Benefit

Paid Sick Time

Paid Holidays

Employee Assistance Program

Mileage Reimbursement

Medical Insurance

Dental Insurance

Vision Insurance

Health Savings Account/Flexible Spending Account

Voluntary Life Insurance

401(k) Retirement Plan

Risks

Competition from AI-driven tools like DeepL and Google Translate threatens market share.

Rapid AI advancements may commoditize basic translation services, pressuring differentiation.

Economic uncertainties in key industries could reduce spending on localization services.

Differentiation

Welocalize's OPAL platform uses AI to streamline translation and content adaptation processes.

The company offers specialized linguistic validation services for clinical trials and healthcare.

Welocalize's TranslationRater™ plugin for ChatGPT enhances translation quality assessment capabilities.

Upsides

Growing demand for AI-driven localization boosts Welocalize's market opportunities.

Rising interest in multilingual e-learning aligns with Welocalize's expertise.

Healthcare sector's AI integration offers new service expansion opportunities for Welocalize.

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