Senior Data Engineer: Ingestion & Cloud Integrations (Remote Latam)

Esentia Recursos Humanos; Ciudad de Mendoza; Remote; ARS 139,086,000 - 216,357,000; Full time

Job summary

AgileEngine is seeking a Senior Data Engineer to operate and improve a Snowflake-based data platform in a regulated healthcare environment. You will design data layers, optimize warehouse performance, and ensure data quality across production pipelines.

The ideal candidate has 5+ years in data engineering, strong SQL, dbt, and experience with ingestion tools like Fivetran or HVR, plus AWS data services and Argo on Kubernetes. Excellent English communication is required.

Qualifications

• 5+ years of professional experience in Data Engineering or Data Platform Engineering.
• Strong hands-on Snowflake experience including data-layer design, warehouse performance, access patterns, and production troubleshooting.
• Advanced SQL and strong experience with dbt for transformation, testing, documentation, lineage, and controlled deployment.
• Experience operating managed ingestion tools such as Fivetran or HVR and supporting custom data-ingestion pipelines.
• Hands-on experience with AWS data services, particularly S3 and event-driven or file-based ingestion patterns.
• Experience orchestrating and troubleshooting data workloads with Argo Workflows on Kubernetes, or comparable workflow-orchestration technologies.
• Proficiency in Python or a comparable language for data engineering, automation, and operational tooling.
• Strong understanding of data modeling, pipeline dependencies, schema evolution, backfills, data validation, and production data quality.
• Experience with observability, logging, alerting, and incident-management practices for production data platforms.
• Demonstrated ability to lead complex incident resolution, perform root-cause analysis, and convert findings into preventive improvements.
• Ability to make well-reasoned technical decisions, identify tradeoffs, estimate work, and guide improvements across a complex platform.
• Experience mentoring engineers and collaborating effectively with Cloud / DevOps, Analytics, Security, Governance, and business stakeholders.
• Strong written and verbal English communication skills, with the ability to work directly with client stakeholders.

Responsibilities

• Operate and improve a Snowflake-based enterprise data platform.
• Design data layer, optimize warehouse performance, and ensure data quality.
• Develop and maintain ingestion pipelines with Fivetran or HVR.
• Collaborate with Cloud/DevOps, Analytics, Security, Governance, and business stakeholders.
• Mentor engineers and lead incident resolution and preventive improvements.

Skills

Snowflake

Advanced SQL

dbt

Fivetran

HVR

AWS data services

Argo Workflows

Python

Data modeling

Data quality

Observability

Incident management

Mentoring

English communication

Kubernetes

Tools

Snowflake

dbt

Fivetran

HVR

Argo Workflows

Kubernetes

AWS S3

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people‑first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Senior Data Engineer to operate and improve a Snowflake-based enterprise data platform in a regulated healthcare environment.

MUST HAVES

- 5+ years of professional experience in Data Engineering or Data Platform Engineering.

- Strong hands‑on experience operating and developing solutions on Snowflake, including data-layer design, warehouse performance, access patterns, and production troubleshooting.

- Advanced SQL skills and strong experience with dbt for transformation, testing, documentation, lineage, and controlled deployment.

- Experience operating managed ingestion tools such as Fivetran or HVR and supporting custom data‑ingestion pipelines.

- Hands‑on experience with AWS data services, particularly S3 and event‑driven or file‑based ingestion patterns.

- Experience orchestrating and troubleshooting data workloads with Argo Workflows on Kubernetes, or comparable workflow‑orchestration technologies.

- Proficiency in Python or a comparable language for data engineering, automation, and operational tooling.

- Strong understanding of data modeling, pipeline dependencies, schema evolution, backfills, data validation, and production data quality.

- Experience with observability, logging, alerting, and incident‑management practices for production data platforms.

- Demonstrated ability to lead complex incident resolution, perform root‑cause analysis, and convert findings into preventive improvements.

- Ability to make well‑reasoned technical decisions, identify tradeoffs, estimate work, and guide improvements across a complex platform.

- Experience mentoring engineers and collaborating effectively with Cloud / DevOps, Analytics, Security, Governance, and business stakeholders.

- Strong written and verbal English communication skills, with the ability to work directly with client stakeholders.

- Full availability to work from 9:00 AM to