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Founding Data Engineer

POSSUMUS

Buenos Aires

Teletrabalho

USD 50.000 - 70.000

Tempo integral

Há 4 dias
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Resumo da oferta

A dynamic company is seeking a Founding Data Engineer to establish and optimize their data systems for an innovative Real Estate SaaS platform. This role involves working closely with an agile team, developing data pipelines, integrating AI models, and driving improvements in data architecture. Ideal candidates will bring strong Python and GCP skills and a proactive startup mindset. We value collaboration, problem-solving, and effective communication to ensure successful remote teamwork.

Qualificações

  • 4+ years of experience in data engineering, especially in startup environments.
  • Expertise in Python for data workflows and API handling.
  • Hands-on GCP experience, particularly with BigQuery and Dataflow.

Responsabilidades

  • Design and maintain end-to-end data ingestion pipelines using Python and GCP tools.
  • Define and implement core data architecture, ensuring automation and security.
  • Integrate AI models for lead scoring and marketing automation.

Conhecimentos

Python
Data Engineering
GCP
AI/ML
SQL
Data Pipeline Development
API Integration
Orchestration Tools (Airflow, Dagster)
Problem Solving
Communication

Descrição da oferta de emprego

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We're Hiring: Founding Data Engineer (Python, GCP, AI)

Project: AI-powered CRE Lead & Marketing Automation | Distressed Property Lead Marketplace | Strategic AI Real Estate SaaS

Type: Remote | Freelance/Contract (6 months to start)

Start Date: Immediate (Month 1)

Team: You’ll be joining a small and agile team and collaborating closely with a Data QA Analyst.

About the Role

Are you a Data Engineer with a passion for building scalable data systems, automating data flows, and working with cutting-edge AI tools? We’re launching a brand-new Real Estate SaaS platform powered by AI to revolutionize how distressed property leads are discovered, qualified, and automated for CRE teams.

As our Founding Data Engineer, you'll be responsible for laying the technical foundations of our data infrastructure. From developing ingestion pipelines to leveraging AI for enriched data processing — you’ll play a critical role in the success of our product from Day 1.

What You’ll Be Doing

Build & Maintain Scalable Pipelines: Design, build, and maintain end-to-end data ingestion pipelines using Python and GCP tools.

Data Infrastructure Setup: Define and implement our core data architecture from scratch, including automation, observability, and security best practices.

Work with AI Models: Integrate and test AI models for lead scoring, enrichment, and marketing automation tasks.

API Integrations: Connect with third-party data providers (e.g., MLS databases, CRMs, marketing platforms) and ensure clean, reliable ingestion.

Collaborate with Stakeholders: Work closely with product leadership and (starting in Month 2) our Junior Data QA Analyst to align on business and data needs.

Own and Optimize: Drive continuous improvements to our data platform — from ingestion to transformation — and ensure performance, scalability, and reliability.

We Value People With Our Core Soft Skills

  • Effective communication, emotional intelligence and collaboration.
  • Flexibility and adaptability
  • Problem solving
  • Critical thinking
  • Ownership leadership and proactive management.
  • Time management and planning.

Minimum Requirements

What We’re Looking For

4+ years of experience in data engineering, with proven projects built from scratch or in startup-like environments.

Expertise in Python for data workflows, API handling, and automation.

Hands-on GCP experience, especially with BigQuery, Cloud Functions, Pub/Sub, or Dataflow.

Solid understanding of AI/ML workflows and experience integrating AI models into pipelines (classification, enrichment, prediction).

Strong SQL skills and experience working with large, complex datasets.

Experience with orchestration tools like Airflow, Dagster, or dbt is a strong plus.

Excellent communication and documentation skills — especially important in a remote setup.

Startup mindset: autonomous, proactive, and resourceful.

Strong cummunication skills in english.

Bonus Points

Experience in real estate data, marketing analytics, or CRE.

Familiarity with data QA or mentoring junior analysts/engineers.

Experience with LLMs or AI agents for operational automation.

Our Hiring Process

  • TA Interview
  • Technical interview and English validation
  • Psycho-occupational interview
  • Job Offer

If you want to learn more about us, please click the following links:

  • https://possumus.tech/
  • https://possumus.tech/es-es/culture

Seniority level
  • Seniority level
    Not Applicable
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    Leasing Residential Real Estate, Leasing Non-residential Real Estate, and Real Estate Agents and Brokers

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