Platform Data Engineer; DataOps/Orchestration - Latin America - Remote
Position: Platform Data Engineer (DataOps / Orchestration) - Latin America - Remote
Azumo is currently looking for a senior Platform Data Engineer to support and stabilize a modern cloud data platform during a period of growth and integration. This position is FULLY REMOTE based in Latin America-
This role sits at the intersection of data engineering and data operations (Data Ops). Your primary responsibility will be to ensure that the frameworks used to build, deploy, and operate data pipelines are scalable, reliable, and maintainable, while reducing operational burden on the internal data team.
This is a platform-centric role focused on orchestration and reliability rather than a pure BI or SQL-only data engineering position.
Based in San Francisco, California, Azumo is an innovative software development firm helping organizations make insightful decisions using the latest technologies in data, cloud and mobility. We combine expertise in strategy, data science, application development and design to drive digital transformation initiatives for companies of all sizes.
If you are qualified for the opportunity and looking for a challenge please apply online at or connect with us at
The Platform Data Engineer (Data Ops) will be based remotely.
Basic Qualifications
• Senior/Staff-level experience as a Platform Data Engineer or Data Ops 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 Git Lab CI/CD and Terraform for infrastructure-as-code.
• Experience operating and maintaining production data pipelines at scale.
Preferred Qualifications
• 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.
Responsibilities
• 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.
Benefits
• Paid time off (PTO)
• U.S. Holidays
• Training
• Udemy free Premium access
• Mentored career development
• Free English Courses
• Profit Sharing
• $US Remuneration
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Azumo is currently looking for a senior Platform Data Engineer to support and stabilize a modern cloud data platform during a period of growth and integration. This position is FULLY REMOTE based in Latin America-
This role sits at the intersection of data engineering and data operations (Data Ops). Your primary responsibility will be to ensure that the frameworks used to build, deploy, and operate data pipelines are scalable, reliable, and maintainable, while reducing operational burden on the internal data team.
This is a platform-centric role focused on orchestration and reliability rather than a pure BI or SQL-only data engineering position.
Based in San Francisco, California, Azumo is an innovative software development firm helping organizations make insightful decisions using the latest technologies in data, cloud and mobility. We combine expertise in strategy, data science, application development and design to drive digital transformation initiatives for companies of all sizes.
If you are qualified for the opportunity and looking for a challenge please apply online at or connect with us at
The Platform Data Engineer (Data Ops) will be based remotely.
Basic Qualifications
• Senior/Staff-level experience as a Platform Data Engineer or Data Ops 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 Git Lab CI/CD and Terraform for infrastructure-as-code.
• Experience operating and maintaining production data pipelines at scale.
Preferred Qualifications
• 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.
Responsibilities
• 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.
Benefits
• Paid time off (PTO)
• U.S. Holidays
• Training
• Udemy free Premium access
• Mentored career development
• Free English Courses
• Profit Sharing
• $US Remuneration
#J-18808-Ljbffr
Apply tot his job
Apply To this Job
Apply tot his job
Apply To this Job