About the Job

At Jetpacks, we've got opportunities to offer you — for growth, for leadership, for big, world-changing impact and for, dare we say it, fun. We are a new startup committed to helping companies reach new heights together, by unleashing the Latin American power.

And that starts with you :)

Jetpacks is looking for someone to join our LatAm team as Data Engineer. In this role, you'll be responsible for owning the architecture and execution of our core data platform, working closely with Analytics Engineering, BI, Finance, and Operations to turn fragmented, multi-source operational and financial data into standardized, trusted models that the business runs on.

This is a hands-on leadership role: you'll set how our data is modeled, ingested, and orchestrated, while also reviewing designs and code from other data engineers and raising the technical bar across the team.

Role Responsibilities
Design and build standardized data models that normalize complex, source-specific data (MongoDB, Postgres, Firestore, and partner systems) into trusted schemas for pricing, finance,



and operations.
Own core BigQuery and Dataform pipelines, including schema design, incremental modeling patterns, testing, and documentation.
Build and operate ingestion into the warehouse using Datastream, Cloud Functions, and custom connectors for systems without clean CDC paths.
Set technical direction for orchestration (Composer/Airflow), including job design, dependency management, and cost/performance tradeoffs.
Drive data integrity through anomaly detection, quality monitoring, and root-causing discrepancies before they erode trust in reporting.
Build internal tools (Python, FastAPI/Flask, occasionally React) that automate operational workflows such as invoicing, ops data feeds, and reporting utilities.
Apply AI and LLM-based tooling pragmatically to automate repetitive internal workflows and accelerate data engineering work, without introducing fragile or unmaintainable systems.
Pa

📌 Senior Data Engineer (Argentina)
🏢 Jetpacks!
📍 Argentina