Location: LATAM (Remote supporting US-based teams)
Job Type: Contractor (Full-Time, Remote)
Project: Data Platform Modernization Healthcare Sector
Time Zone: Aligned with GMT-3 (Argentina)
English Level: B2/C1

At Darwoft, we build software that drives real change. But were more than just tech were people first. With a remote-first culture and a highly collaborative team spread across LATAM, we partner with global companies to co-create reliable, scalable, and impactful digital products.

Were currently working with a leading US-based healthtech platform, in a major transformation of their data pipeline ecosystem migrating legacy SQL logic into modern, scalable cloud-based infrastructure using DBT, Spark, Argo, and AWS.

In this role, you will be at the core of a strategic data transformation initiative: converting monolithic SQL Server logic into a modular, testable DBT architecture, while integrating Spark for performance and Argo for orchestration. You will work with cutting-edge lakehouse formats like Apache Hudi, Parquet, and Iceberg, and enable real-time analytics through ElasticSearch integration.

If you’re passionate about modern data engineering and want to work in a data-driven, cloud-native, healthcare-focused environment, this is the role for you.

• Translate legacy T-SQL logic into modular, scalable DBT models powered by Spark SQL
• Build reusable and performant data transformation pipelines
• Develop testing frameworks to ensure data accuracy and integrity in DBT workflows
• Design and orchestrate workflows using Argo Workflows and CI/CD pipelines with Argo CD
• Manage mock data and reference datasets (e.g., ICD-10, CPT), ensuring version control and governance
• Implement efficient storage/query strategies using Apache Hudi, Parquet, and Iceberg
• Integrate ElasticSearch for analytics by building APIs and pipelines to support indexing and querying
• Collaborate with DevOps teams to optimize S3 usage, enforce data security, and ensure compliance
• Work in Agile squads and participate in planning, estimation, and sprint reviews

• Strong experience with DBT for data modeling, testing, and deployment
• Hands-on proficiency in Spark SQL, including performance tuning
• Solid programming skills in Python for automation and data manipulation
• Familiarity with Jinja templating for building reusable DBT components
• Practical experience with data lake formats: Apache Hudi, Parquet, Iceberg
• Expertise in Argo Workflows and CI/CD integration with Argo CD
• Deep understanding of AWS S3 data storage, performance tuning, and cost optimization
• Strong command of ElasticSearch for indexing structured/unstructured data
• Knowledge of ICD-10, CPT, and other healthcare data standards
• Ability to work cross-functionally in Agile environments

• Experience with Docker, Kubernetes, and container orchestration
• Familiarity with cloud-native data tools: AWS Glue, Databricks, EMR, or GCP equivalents
• Prior work on CI/CD automation for data engineering workflows
• Knowledge of data compliance standards: HIPAA, SOC2, etc.
• Contributions to open-source projects in DBT, Spark, or data engineering frameworks

Perks & Benefits
• Contractor agreement with payment in USD
• 100% remote work
• Argentinas public holidays
• English classes
• Referral program
• Access to learning platforms

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