Senior Data Platform Engineer – Snowflake, dbt, Remote

Itx-Jordan; Ciudad de Mendoza; Remote; ARS 185,448,000 - 278,173,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine is seeking a Senior Data Engineer to operate and improve a Snowflake‑based enterprise data platform in a regulated healthcare environment. The role focuses on data ingestion, modeling, and observability, with strong emphasis on reliability and incident response.

Required: 5+ years in data engineering, advanced SQL, dbt expertise, Snowflake, AWS, Argo, and Python. Remote/LatAm‑friendly with Pacific Time alignment. Competitive USD compensation and flexible remote options.

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.
• 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 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

• Provide senior technical ownership for the Data Platform service tower during LatAm coverage window, including day‑to‑day operations and escalation.
• Operate and improve Snowflake production and non‑production environments, including warehouse configuration, performance monitoring, and support for production changes.
• Administer data access with least‑privilege and audit‑ready practices.
• Operate and improve data ingestion across Fivetran, HVR, and custom pipelines.
• Design, build, and maintain reliable pipelines and dbt models across RAW, CURATED, and CONSUMPTION layers with testing and CI/CD.
• Support AWS S3 data‑lake operations and downstream Snowflake workloads.
• Support Argo Workflows and Kubernetes‑hosted data workloads with Cloud / DevOps.
• Define and improve data quality and observability standards with various checks.
• Expand end‑to‑end monitoring and lineage using SYNQ, dbt, Snowflake audit data, Splunk, and alerting stack.
• Lead or support major data incidents and post‑incident reviews.

Skills

5+ years

Advanced SQL

Python

Data modeling

English communication

Tools

Snowflake

dbt

Fivetran

HVR

AWS (S3)

Argo Workflows on Kubernetes

Job description

AgileEngine is seeking a Senior Data Engineer to operate and improve a Snowflake‑based enterprise data platform in a regulated healthcare environment. The role focuses on data ingestion, modeling, and observability, with strong emphasis on reliability and incident response.

Required: 5+ years in data engineering, advanced SQL, dbt expertise, Snowflake, AWS, Argo, and Python. Remote/LatAm‑friendly with Pacific Time alignment. Competitive USD compensation and flexible remote options.