Data Engineer - Remote

Urrly; Ciudad de México; A distancia; MXN 200,000 - 400,000; Jornada completa

Descripción de la vacante

A VC-backed healthtech company is looking for a Data Engineer to build and optimize ETL systems. The position is remote, requires 3+ years in data engineering, and fluency in English at a C1/C2 level. Competitive compensation of $4K–$7K/month is offered. This role involves working with modern data tools to enhance healthtech solutions.

Servicios

100% remote work

Work directly with healthtech data teams

Formación

• 3+ years in data engineering or ETL pipeline work.
• Fluent English at a C1/C2 level.
• Hands‑on experience with API integrations.

Responsabilidades

• Build and maintain Airflow DAGs for ETL orchestration.
• Write optimized SQL and PostgreSQL queries at scale.
• Develop modular Python ETL scripts using pandas and requests.

Conocimientos

Python

SQL

PostgreSQL

Airflow

Descripción del empleo

Data Engineer (LATAM • Remote)

Join a VC-backed healthtech company that’s raised over $100M to reinvent how care actually reaches patients. We’re building the data backbone that connects providers, patients, and outcomes -- powering smarter scheduling, streamlined charting, and real-time insights that improve lives.

Snapshot

• Pay: $4K–$7k/month USD (based on experience and fit)


• Type: Remote • Full-time


• Schedule: PST business hours


• Impact: Build, optimize, and maintain core ETL systems that move data from multiple health sources into clean, reliable analytics outputs.

What you’ll do

• Build and maintain Airflow DAGs (ETL orchestration)


• Write optimized SQL and PostgreSQL queries at scale


• Develop modular Python ETL scripts (pandas, requests, sqlalchemy)


• Integrate APIs and handle schema or rate-limit changes


• Support Power BI dashboards with modeled, accurate data


• Monitor and tune pipelines for performance and reliability

Must-haves

• Based in LATAM, fluent English at a C1/C2 level


• 3+ years in data engineering or ETL pipeline work


• Strong Python, SQL, PostgreSQL, Airflow


• Hands‑on with API integrations


• Proven async collaboration with U.S. teams


• Can self‑manage without micromanagement

Perks & pay

• Pay: $4K–$7K/month USD


• 100% remote (LATAM-based)


• Work directly with healthtech data teams

Schedule & setup

• PST business hours


• No travel required

Apply Today to work remotely with modern data tools while driving real impact in healthtech.