836 - Senior Data Engineer (Python/SQL/Spark/AWS) · LATAM

Location: Anywhere in LATAM
Job Type: Contractor (Full-Time, Remote)
Project: Healthcare Data Integration
Time Zone: GMT-3
English Level: B2 or above

Get to Know Us

At Darwoft, we build software that drives real change. But were more than just tech were people first. We believe in building human-centered digital experiences and having fun while we do it. Our team is curious, passionate, and always growing. Based in LATAM, we've been partnering with US-based clients to deliver scalable digital solutions with purpose and quality.

Were now expanding our data engineering capabilities to support one of the leading healthtech platforms in the US.

We're Looking For a Senior Data Engineer

As a Senior Data Engineer, you'll join a collaborative team focused on building robust, scalable, and secure data ingestion pipelines that connect healthcare systems with analytic platforms. You'll work across new and legacy architectures to automate data flows and deliver clean, high-value datasets that support business insights and patient care.

What You'll Be Doing

• Design and build ingestion pipelines for healthcare claim and clinical data using modern data engineering tools

• Perform unit testing, debugging, and peer reviews to ensure code quality and performance

• Collaborate with engineering and product teams to optimize data architecture and integration processes

• Contribute to Agile ceremonies (sprint planning, grooming, demos) and update progress in Jira

• Troubleshoot and improve legacy data connectors while developing new scalable solutions

• Support data quality validation and deliver clear documentation for internal teams

• Participate in cross-functional sessions to improve development processes and delivery speed

What You Bring

Technical Requirements

• 5+ years of experience in data engineering roles

• Strong SQL skills and experience with relational database design

• Hands-on experience with Spark (preferably Scala)

• Working knowledge of NoSQL databases and cloud environments (AWS preferred)

• Experience with data ingestion tools and frameworks (e.g., Kafka, NiFi, etc.)

• Familiarity with Python and Java for data processing

• Bonus: Experience with healthcare datasets and analytics

Soft Skills

• Strong analytical thinking and structured problem-solving skills

• Clear communication and ability to collaborate across teams

• Ownership mindset and ability to manage multiple priorities

• Interest in understanding the business value behind the data

Perks & Benefits

• Contractor agreement with payment in USD

• 100% remote work

• Argentinian public holidays

• English classes

• Referral program

• Access to learning platforms