Data & AI Engineer Senior

MercadoLibre
Buenos Aires, Brazil
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Problem-solving","Continuous learning"]

Design and scale secure, high-impact data and AI systems that support democratized e-commerce and financial services across Latin America. Build complex data models integrating multiple GenAI providers, robustly integrate cloud REST APIs, and run mission-critical BigQuery pipelines with consistency, idempotency, and end-to-end traceability. Define relational and denormalized modeling architectures for analytics and monetization, while resolving large-scale data integration challenges like backfills, schema versioning, cost reconciliation, and data quality.

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FursaFursa
MercadoLibre
MercadoLibre
5 days ago

Data & AI Engineer Senior

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Design and scale secure, high-impact data and AI systems that support democratized e-commerce and financial services across Latin America. Build complex data models integrating multiple GenAI providers, robustly integrate cloud REST APIs, and run mission-critical BigQuery pipelines with consistency, idempotency, and end-to-end traceability. Define relational and denormalized modeling architectures for analytics and monetization, while resolving large-scale data integration challenges like backfills, schema versioning, cost reconciliation, and data quality.
Location: Buenos Aires, Brazil
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and implement complex data models integrating multiple GenAI providers with different structures and APIs to enable semantic layers for agentic systems.
  • •Build robust integrations against cloud REST APIs to transform unstructured and semi-structured data into reliable analytical models.
  • •Design and maintain mission-critical BigQuery pipelines processing large daily transaction volumes with consistency, idempotency, and end-to-end traceability.
  • •Define relational and denormalized data modeling architectures that support both analytics consumption (dashboards/reports) and automated monetization of generative AI services.
  • •Solve large-scale data integration challenges including cost reconciliation across sources, price discrepancy handling, retroactive backfills, schema versioning, and data quality mechanisms.

Key Requirements

  • •Solid experience in data engineering focused on integrating data from multiple sources and APIs.
  • •Strong Python skills for building integrations and advanced SQL for modeling and optimizing queries on large-volume tables in BigQuery.
  • •Experience consuming and orchestrating complex REST APIs under Google Cloud Platform, with focus on BigQuery and Dataflow, including work with semi-structured formats.
  • •Ability to design and maintain mission-critical BigQuery data pipelines processing high transaction volumes, ensuring consistency, idempotency, and end-to-end traceability.
  • •Hands-on use of generative AI code assistants and tools to improve daily workflows, debugging, automation, and software development.
Skills:Problem-solvingContinuous learning
Tech Stack:PythonSQLBigQueryREST APIsGoogle Cloud PlatformDataflowGitCIClaudeChatGPTGeminiMeliGPTCodex

Company Brief

MercadoLibre
Operates Latin America's leading e‑commerce marketplace and fintech ecosystem, offering online buying and selling, classifieds, payment processing, credit, and logistics services across multiple countries in the region.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Buenos Aires, Argentina
Founded: 1999
Glassdoor
Glassdoor: 3.8
WebsiteLinkedIn