Remote Senior Data Engineer — Snowflake & Data Platform Lead

Selecciã³N-Worklift; Quilmes; Hybrid; ARS 185,448,000 - 278,173,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based pay

Exciting projects

Flextime

Job summary

AgileEngine is looking for a Senior Data Engineer to operate and improve a Snowflake-based enterprise data platform in a regulated healthcare environment. You will own data pipelines, ingestion, and orchestration, while ensuring data quality, security, and reliability across RAW, CURATED, and CONSUMPTION layers.

The role requires 5+ years in data engineering, strong SQL and dbt skills, experience with Snowflake, Fivetran/HVR, AWS data services, and Kubernetes-based orchestration.

Qualifications

• 5+ years of professional experience in Data Engineering or Data Platform Engineering.
• Advanced SQL skills and strong experience with dbt for transformation, testing, documentation, lineage, and controlled deployment.
• Hands-on experience operating Snowflake, including data-layer design, warehouse performance, and production troubleshooting.
• 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.

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 and sizing, performance and consumption monitoring, object lifecycle, environment hygiene, and support for production changes.
• Administer data access within established controls, including users, roles, service accounts, secrets, and credential rotation, while maintaining least-privilege and audit-ready practices.
• Operate and improve data ingestion across Fivetran, HVR where applicable, and custom pipelines, including connector configuration, scheduling, source onboarding, schema-change coordination, failure recovery, backfills, and dependency management.
• Design, build, and maintain reliable pipelines and dbt models across RAW, CURATED, and CONSUMPTION layers, with appropriate testing, documentation, lineage, version control, and CI/CD practices.
• Support AWS S3 data-lake operations, including raw and landing-zone workflows, lifecycle and retention controls, access patterns, logging, ingestion failures, and coordination with downstream Snowflake workloads.
• Lead or support major data incidents, root-cause analysis, post-incident reviews, and preventive actions across ingestion, orchestration, Snowflake, and downstream Tableau dependencies.

Skills

Advanced SQL

Python

English communication

Data modeling

Observability & incident management

Mentoring engineers

Tools

Snowflake

dbt

Fivetran

HVR

Argo Workflows

Kubernetes

AWS (S3)

Tableau Cloud

Terraform

Job description

AgileEngine is looking for a Senior Data Engineer to operate and improve a Snowflake-based enterprise data platform in a regulated healthcare environment. You will own data pipelines, ingestion, and orchestration, while ensuring data quality, security, and reliability across RAW, CURATED, and CONSUMPTION layers.

The role requires 5+ years in data engineering, strong SQL and dbt skills, experience with Snowflake, Fivetran/HVR, AWS data services, and Kubernetes-based orchestration.