Data Engineer
$66,000–$81,600 year
Remote
Job Summary
Design, build, and maintain scalable batch and streaming data pipelines while developing optimized data models in a modern cloud data warehouse. Implement robust ELT/ETL workflows with orchestration tools like Airflow or Dagster, partnering with analytics and product teams to deliver clean, trusted datasets. Establish data quality checks, monitoring, and alerting across all pipelines, handling sensitive data responsibly to uphold HIPAA-aligned privacy and compliance standards. Contribute to the evolution of the platform's overall data architecture. This fully remote, long-term contract role requires 4+ years of experience, expert SQL and Python skills, and U.S.-overlapping hours for candidates based in Latin America.
Required Qualifications
- 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
Desired Qualifications
- 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
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