Own the data foundation. Then build on top of it.

You run the pipelines behind an R&D; analytics environment at a general science & technology leader, and you do not stop at clean data: modeling, forecasting and analyses are your declared second focus.

Remote from Argentina · Long-term · Start as soon as possible

WHAT YOU WILL DO
- Build and run ETL pipelines feeding R&D; analytics: deliberately pragmatic, the complexity lives in the questions, not the stack
- Any framework: PySpark, Polars, dbt, SQL. The craft matters, not the tool
- Own data quality, structure and documentation across changing domains
- Git and Docker daily; DuckDB and FastAPI in the stack

YOUR SECOND FOCUS: APPLIED DATA SCIENCE
- Step into prototypes, forecasting and analyses, supported by the client's data-science lead
- Build visualisations and data apps (Streamlit or similar)
- Work directly with business stakeholders: understand the question behind the data request
- Use AI tools daily, with the fundamentals to judge their output

WHAT YOU BRING
- 5+ years hands-on experience, 10+ for the Sr. title




- Strong Python and real pipeline delivery in production
- Demonstrated data-science interest: first models, forecasts or analyses. Courses and side projects count
- Fluent English. You work with US stakeholders daily
- Based in Argentina, with regular live overlap with US West Coast mornings (approx. 12:00–16:00 ART)

WHAT WE WEIGHT HIGHEST

Takes ownership · curious generalist · manages expectations · proactive · fast learner

We hire for mindset first. The rest is learnable.

NICE TO HAVE

ReactJS · Palantir Foundry · AWS · enterprise or R&D; environments

WHAT WE OFFER
- A long-term position, not a project gig
- 100% remote from Argentina
- Monthly payment in USD to your own account — no forced conversion
- An international senior team and an AI-forward engineering culture
- Competitive compensation and real influence on how things get built
- You would be among the first in our Argentina team

📌 Data Engineer (Argentina)
🏢 databridge
📍 Argentina