Remote Senior Data Platform Engineer (Snowflake/dbt)

Arionkoder; Ciudad de Mendoza; Remote; ARS 216,357,000 - 324,535,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation: USD-based

Job summary

AgileEngine is seeking a Senior Data Engineer to operate and improve a Snowflake-based enterprise data platform in a regulated healthcare environment. You will lead complex data workflows, optimize performance, and ensure production data quality.

You will own ingestion pipelines (Fivetran/HVR), dbt transformations, AWS data services, Argo on Kubernetes, and observability practices, mentoring engineers, and coordinating with Cloud/DevOps, Analytics, Security, Governance, and business stakeholders.

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 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 pipelines.
• Hands-on experience with AWS data services (S3, event-driven or file-based ingestion).
• Experience orchestrating data workloads with Argo Workflows on Kubernetes or similar tools.
• Proficiency in Python or similar language for data engineering and automation.
• Strong understanding of data modeling, schema evolution, and data quality processes.
• Experience with observability, logging, alerting, and incident-management for production data platforms.
• Proven ability to lead incident resolution and implement preventive actions.
• Ability to communicate technically with stakeholders across teams.

Responsibilities

• - Provide senior technical ownership for the Data Platform service tower during the LatAm coverage window, including day-to-day operations, complex troubleshooting, and L2/L3 escalation.
• - Operate and improve Snowflake production and non-production environments, including warehouse configuration, performance, and data quality.
• - Administer data access with least-privilege controls and audit-ready practices.
• - Manage data ingestion across Fivetran, HVR, and custom pipelines; handle scheduling, onboarding, and backfills.
• - Design and maintain dbt models across RAW, CURATED, and CONSUMPTION layers with testing, documentation, and CI/CD.
• - Support AWS S3 data-lake operations and coordinate with downstream Snowflake workloads.
• - Coordinate with Cloud/DevOps for Argo Workflows on Kubernetes, including deployment and recovery.
• - Define data quality and observability standards with checks for freshness, nulls, and drift.
• - Expand end-to-end monitoring and lineage with tools like SYNQ, dbt, Snowflake audit data, Splunk.
• - Lead major data incidents, perform root-cause analysis, and drive preventive actions across tiers.
• - Support Tableau Cloud operations where needed; ensure data source connectivity and refresh reliability.
• - Identify and deliver standardization, automation, reliability, and cost-improvement opportunities.
• - Execute work through standard service-management workflows and maintain runbooks and procedures.
• - Mentor engineers and ensure smooth handoffs across the distributed team.
• - Participate in data platform on-call rotation for critical incidents.

Skills

Snowflake

Advanced SQL

dbt

Python

AWS data services

Argo Workflows/Kubernetes

Data modeling

Observability

Tools

Fivetran

HVR

Argo Workflows

Tableau Cloud

Job description

AgileEngine is seeking a Senior Data Engineer to operate and improve a Snowflake-based enterprise data platform in a regulated healthcare environment. You will lead complex data workflows, optimize performance, and ensure production data quality.

You will own ingestion pipelines (Fivetran/HVR), dbt transformations, AWS data services, Argo on Kubernetes, and observability practices, mentoring engineers, and coordinating with Cloud/DevOps, Analytics, Security, Governance, and business stakeholders.