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Data Engineer

Summary

Build and maintain scalable data pipelines and cloud data infrastructure for a U.S. digital health platform, enabling analytics and clinical decision-making.

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

What this application asks

workable

First name, Last name, Email, Resume

  • Describe a data pipeline you built end-to-end (source, transformation, warehouse/orchestration tools used, and scale). What was the trickiest part? written answer
  • Are you comfortable working with overlap during U.S. business hours (roughly 9am-5pm ET), and can you confirm your English fluency level (conversational / professional / native)? written answer