Senior Data Engineer: Ingestion & Integrations (Remote Latam)

Revstar; Ciudad de Mendoza; Remote; ARS 139,086,000 - 216,357,000; Full time

Job summary

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

The role requires 5+ years in data engineering, advanced SQL, and hands-on dbt experience, plus familiarity with Fivetran or HVR, AWS S3, and Argo Workflows on Kubernetes.

Qualifications

• 5+ years of professional experience in data engineering or data platform engineering.
• Strong Snowflake data platform expertise and production troubleshooting.
• Advanced SQL skills and dbt experience for transformations and testing.
• Experience with managed ingestion tools (Fivetran or HVR) and AWS data services.

Skills

Snowflake

Advanced SQL

dbt

Fivetran

HVR

AWS S3

Argo Workflows

Kubernetes

Python

Data modeling

Production support

English communication

Tools

Snowflake

dbt

Fivetran

HVR

AWS S3

Argo Workflows

Kubernetes

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