Winston Artory Group

Senior Data Engineer

Winston Artory Group

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇦🇷 Argentina

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Job Level

Senior

Tech Stack

AirflowETLPostgresPythonSQLTerraform

About the role

  • Design and operate scalable data ingestion and web scraping systems
  • Build batch and real-time pipelines to normalize, enrich, and version data across structured and unstructured sources
  • Develop systems to support LLM- and ML-based document parsing, OCR, and classification
  • Own the architecture of our data storage and processing stack, including PostgreSQL, data lakes, and data warehouses
  • Operationalize AI/ML workflows by preparing clean training and inference datasets with robust lineage, validation, and error handling
  • Integrate output with backend APIs, valuation services, and frontend analytics dashboards
  • Collaborate across engineering and product to ship reliable, intelligent features quickly
  • Contribute to our infrastructure tooling, including CI/CD, IaC (Terraform), and data observability

Requirements

  • Education: B.S. in Computer Science or equivalent
  • Language: Fluency in English (written and spoken)
  • Experience: 5+ years of experience building data platforms in production environments, ideally in startup or fast-moving contexts
  • Technical Skills: Fluent in Python, SQL, and familiar with orchestration tools like Airflow, Dagster, or Temporal
  • Have designed or maintained web scraping pipelines at scale, using best practices around retries, proxies, and anti-bot strategies
  • Understand tradeoffs between ETL and ELT, and have hands-on experience with data lakes and data warehouses
  • Have integrated structured and unstructured sources, and enjoy resolving messy edge cases that come with real-world data
  • Have worked with LLM APIs or ML models in production, particularly for document understanding, NLP, or entity extraction
  • Thrive in AI-native environments and enjoy building tools that support intelligent automation and analytics
  • Care about clean architecture, versioning, reproducibility, and quality in data systems
Benefits
  • Equity option grants of company shares, offering alignment with company success
  • Flexible remote work environment
  • Paid time off, including vacation, sick leave, and local holiday
  • Additional leave for bereavement or family emergencies
  • Opportunities for continuous learning and skill development
  • Access to training, courses, and knowledge-sharing sessions
  • Mentorship and leadership development initiatives

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data ingestionweb scrapingbatch processingreal-time processingdocument parsingOCRdata normalizationPythonSQLdata architecture
Soft skills
collaborationproblem-solvingcommunicationadaptabilityattention to detail
Certifications
B.S. in Computer Science