Data Engineer
hace 1 semana
Data Engineer
- Pay: $4K–$7K/month USD
- Location: LATAM
• Remote - Schedule: PST business hours
- Build and run the core ETL stack that powers care delivery and analytics.
Build and maintain Airflow DAGs (ETL orchestration)
Write fast, reliable SQL and PostgreSQL queries
Develop Python ETL scripts using pandas and sqlalchemy
Integrate APIs and manage schema/rate-limit changes
Model clean data for Power BI dashboards
Create stakeholder-ready dashboards with minimal input
Monitor, debug, and optimize data pipelines
Based in LATAM
Fluent English (C1/C2)
3+ years in data engineering or ETL pipelines
Strong Python, SQL, PostgreSQL, Airflow
BI dashboard skills (Power BI, Looker, or Tableau)
Can build Power BI dashboard in 2 weeks, no training
Has prior dashboard work or mock project using dummy data
Proven async collaboration with U.S. teams
Self-managed, no micromanagement needed
Built ML models (regression, classification, trees, etc.)
Pay: $4K–$7K/month USD
100% remote (LATAM-based)
Direct access to product and analytics teams
Modern healthtech stack (Python, Airflow, Power BI)
Full-time, PST business hours
No travel required
Your work keeps patient data moving and clean—so care teams can act fast.
You like pace and ownership. You start, finish, follow through.
At Urrly, fairness matters. We use AI to review every application against the same clear requirements for the role. This means every candidate is evaluated on job-related factors like skills, certifications, and experience—not on personal attributes such as gender, race, age, or background. Our goal is to create a more objective, consistent, and equal opportunity hiring process for all applicants.
Apply Today to work remotely with modern tools while driving real impact in healthtech.-
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