873 - Data Engineer (DBT + Spark + Argo) · Senior · Remote · LATAM

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

Get to Know Us

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.

Were Looking For a Senior Data Engineer (DBT + Spark + Argo)

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.

What Youll Be Doing

• 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

What You Bring

• 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

Nice to Have

• 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