Platform Data Engineer (DataOps / Orchestration) - Latin America - Remote
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- República Dominicana
- Permanente
- Tiempo completo
- Senior/Staff-level experience as a Platform Data Engineer or DataOps Engineer.
- Strong Python experience for orchestration and framework-level work.
- Hands-on production experience with Prefect (strongly preferred) or Airflow.
- Proven experience with dbt in a production data warehouse environment and Snowflake.
- Experience with AWS (data workloads, scheduled or batch processing).
- Proficiency with GitLab CI/CD and Terraform for infrastructure-as-code.
- Experience operating and maintaining production data pipelines at scale.
- Professional English proficiency (B2/C1)
- Experience with data observability tooling (e.g., Monte Carlo or similar).
- Exposure to MLOps or ML pipeline orchestration.
- Experience joining an existing data platform mid-stream to stabilize and harden it.
- Prior experience in time-boxed platform enablement or advisory engagements.
- Own and improve data orchestration patterns (Scheduling, Retries, Backfills).
- Strengthen deployment and operational patterns to reduce "firefighting" for internal teams.
- Ensure data pipelines and models are production-grade and operationally sound.
- Use Terraform to support infrastructure-as-code for data platform components.
- Document patterns and decisions to ensure internal teams can operate independently.
- Paid Time Off
- Mentored Career Development
- U.S. Holidays
- USD Remuneration
- Profit Sharing
- Maternity Coverage
- 100% Remote