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
Requirements
- 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
Benefits
- $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
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