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