Senior Data Engineer (Python/SQL/Spark/AWS) - Latam

Join a high-impact, remote-first team working at the forefront of healthcare data integration. Design and optimize data pipelines that connect critical healthcare systems, driving real-time insights and patient-centered outcomes.

Requirements

• 5+ years of experience in data engineering roles with a solid track record in building data pipelines.
• Strong SQL expertise and experience in relational database schema design.
• Practical knowledge of Apache Spark, preferably with Scala.
• Familiarity with NoSQL databases and cloud infrastructure (AWS preferred).
• Experience using data ingestion tools (e.g., Kafka, NiFi) and processing languages such as Python and Java.
• Strong analytical thinking and structured problem-solving mindset.
• Effective communication skills and ability to collaborate across distributed teams.
• Ability to manage multiple priorities with an ownership mindset.
• Curiosity for understanding the business impact behind the data.

Benefits

• Contractor agreement with compensation paid in USD.
• 100% remote position, flexible across Latin America.
• Observance of Argentinian public holidays.
• English language classes provided.
• Access to premium online learning platforms.
• Employee referral program.