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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.DescriptionWhat you'll do:Design, build, and maintain scalable data pipelines (batch and streaming)Develop and optimize data models in a modern cloud data warehouseBuild robust ELT/ETL workflows and manage orchestration (e.g., Airflow, Dagster, or similar)Partner with analytics, product, and engineering teams to deliver clean, trusted datasetsImplement data quality checks, monitoring, and alerting across pipelinesHandle 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 architectureRequirements4+ years of professional data engineering experienceExpert-level SQL and strong Python skillsHands-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 scaleStrong written and spoken English (daily collaboration with a U.S.-based team)Based in Latin America with reliable ability to work U.S.-overlapping hoursNice to have: Experience in healthcare, health tech, or other regulated data environmentsNice to have: Familiarity with streaming technologies (Kafka, Kinesis, Pub/Sub)Nice to have: Experience with infrastructure-as-code and CI/CD for data workflowsNice to have: Exposure to ML pipelines or feature engineeringBenefits$5,500 – $6,800 USD/month, paid reliably in USDFully remote, long-term contract engagementDirect integration with a U.S. data team at a high-growth companySupport from Maxana throughout your engagement
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