Data Engineer

Maxana is hiring a Data Engineer on behalf of a fast-growing digital health platform in the U.S. You'll join their data team as a full-time contractor, building the pipelines and infrastructure that power analytics, product features, and clinical/operational decision-making. This is a fully remote role open to candidates based in Latin America, working U.S.-overlapping hours. What you'll do: - Design, build, and maintain scalable data pipelines (batch and streaming) - Develop and optimize data models in a modern cloud data warehouse - Build robust ELT/ETL workflows and manage orchestration (e.g., Airflow, Dagster, or similar) - Partner with analytics, product, and engineering teams to deliver clean, trusted datasets - Implement data quality checks, monitoring, and alerting across pipelines - Handle sensitive data responsibly and help uphold privacy and compliance standards (e.g., HIPAA-aligned practices) - Contribute to the evolution of the platform's overall data architecture - 4+ years of professional data engineering experience - Expert-level SQL and strong Python skills - Hands-on experience with a modern cloud data stack (e.g., Snowflake, BigQuery, or Redshift; dbt; Airflow or similar orchestration) - Experience with cloud platforms (AWS, GCP, or Azure) - A track record of building reliable, well-documented pipelines at scale - Strong written and spoken English (daily collaboration with a U.S.-based team) - Based in Latin America with reliable ability to work U.S.-overlapping hours Nice to have: - Experience in healthcare, health tech, or other regulated data environments - Familiarity with streaming technologies (Kafka, Kinesis, Pub/Sub) - Experience with infrastructure-as-code and CI/CD for data workflows - Exposure to ML pipelines or feature engineering - $5,500 – $6,800 USD/month, paid reliably in USD - Fully remote, long-term contract engagement - Direct integration with a U.S. data team at a high-growth company - Support from Maxana throughout your engagement