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Own the data foundation. Then build on top of it. You run the pipelines behind an R&D analytics environment at a global 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 ABOUT DATABRIDGE Swiss-led data & AI company, headquartered near Zurich, Switzerland. We work with analytics, AI and data teams in pharma, insurance, finance and public transport, where data is business-critical and mistakes are costly. Swiss leadership. Global engineering. Trusted data. GOOD TO KNOW Independent contractor setup (B2B): you invoice us monthly in USD as monotributista. Direct applications only. No recruitment or staffing agencies, please.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.