Senior Data Engineer: Ingestion & Cloud Platforms

Esentia Recursos Humanos; Buenos Aires; Hybrid; ARS 185,448,000 - 278,173,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation (USD)

Exciting projects

Flextime

Job summary

AgileEngine is seeking a Senior Data Engineer to operate and improve a Snowflake-based data platform in a regulated healthcare environment. The role emphasizes ownership of data ingestion, transformations with dbt, and orchestration using Argo on Kubernetes.

You will work with AWS data services (S3), Fivetran/HVR ingestion, and develop robust pipelines with strong data quality and observability. Remote-friendly with flexible hours and on‑call rotation.

Qualifications

• 5+ years of professional experience in Data Engineering or Data Platform Engineering.
• Strong hands-on experience with Snowflake including data-layer design and production troubleshooting.
• Advanced SQL and dbt experience for transformation, testing, and lineage.
• Experience operating ingestion tools like Fivetran or HVR and custom pipelines.
• Hands-on with AWS data services, especially S3 and event/file-based ingestion patterns.
• Experience with Argo Workflows on Kubernetes or similar orchestration tools.
• Proficiency in Python or equivalent for data engineering and automation.
• Strong data modeling, pipeline dependencies, schema evolution, and data quality practice.
• Observability, logging, alerting and incident-management for production data platforms.
• Ability to lead complex incidents, root-cause analysis, and preventive improvements.
• Strong written and verbal English; able to work with client stakeholders.
• Full availability to work 9:00 AM–6:00 PM PT and on-call rotation.

Responsibilities

• Provide senior technical ownership for the Data Platform during LatAm coverage window.
• Operate and improve Snowflake production and non-production environments and monitor performance.
• Administer data access with least-privilege and audit-ready controls.
• Manage ingestion across Fivetran, HVR and custom pipelines; handle scheduling and lineage.
• Design, build, and maintain pipelines and dbt models across RAW, CURATED, CONSUMPTION layers with CI/CD.
• Support AWS S3 data-lake operations and downstream Snowflake workloads.
• Coordinate with Cloud/DevOps for Argo workflows and Kubernetes-hosted workloads.
• Define data quality and observability standards with checks for freshness and integrity.
• Lead or support major data incidents; perform root-cause analysis and post-incident reviews.
• Support Tableau Cloud operations where data/connectivity affects dashboards.
• Identify and deliver standardization, automation, performance, and cost improvements.
• Follow controlled incident/change/release processes and maintain runbooks.

Skills

Snowflake

Advanced SQL

dbt

Fivetran/HVR

AWS data services (S3)

Argo Workflows on Kubernetes

Python

Data modeling

Data quality

Observability & incident mgmt

Team leadership

English communication

On-call support

Tools

Snowflake

dbt

Fivetran

HVR

Argo Workflows

Kubernetes

S3

CI/CD tooling

Job description

AgileEngine is seeking a Senior Data Engineer to operate and improve a Snowflake-based data platform in a regulated healthcare environment. The role emphasizes ownership of data ingestion, transformations with dbt, and orchestration using Argo on Kubernetes.

You will work with AWS data services (S3), Fivetran/HVR ingestion, and develop robust pipelines with strong data quality and observability. Remote-friendly with flexible hours and on‑call rotation.