Jul 28, 2025
836
senior-data-engineer-(python-sql-spark-aws)
LATAM
Office
Fulltime
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