Senior Data Platform Engineer: Snowflake & Pipelines

AgileEngine, LLC.; Ciudad de México; A distancia; MXN 1.991.000 - 2.534.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive compensation

A selection of exciting projects

Flextime

Descripción de la vacante

AgileEngine, LLC. is hiring a Senior Data Engineer to operate and enhance a Snowflake-based data platform in a regulated healthcare environment.

You will own data ingestion, modeling, and observability, collaborating with Cloud/DevOps and analytics teams to ensure data quality and reliability across RAW, CURATED, and CONSUMPTION layers. You will mentor mid-level engineers, participate in on-call rotations, and drive continuous improvement in data architecture and governance while coordinating

Formación

• 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 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 6:00 PM Pacific Time and participate in an agreed on-call rotation.

Responsabilidades

• Lead and operate Snowflake production and non-production environments with emphasis on performance, sizing, and cost.
• Own data ingestion pipelines across Fivetran/HVR and custom pipelines, including schema changes and backfills.
• Build and maintain reliable dbt models across RAW, CURATED, and CONSUMPTION layers with tests and lineage.
• Support AWS S3 data-lake operations, including retention controls and access patterns.
• Coordinate with Cloud/DevOps for Argo Workflows/Kubernetes data workloads and on-call rotations.
• Improve data quality, observability, and incident response across ingestion, orchestration, Snowflake, and downstream BI tools.

Conocimientos

Snowflake

SQL

dbt

Fivetran/HVR

AWS data services (S3)

Argo Workflows on Kubernetes

Python

Data modeling

Data quality/observability

Incident resolution

Cross-functional collaboration

English communication

Herramientas

Snowflake

Fivetran

HVR

Argo Workflows

Kubernetes

Descripción del empleo

AgileEngine, LLC. is hiring a Senior Data Engineer to operate and enhance a Snowflake-based data platform in a regulated healthcare environment.

You will own data ingestion, modeling, and observability, collaborating with Cloud/DevOps and analytics teams to ensure data quality and reliability across RAW, CURATED, and CONSUMPTION layers. You will mentor mid-level engineers, participate in on-call rotations, and drive continuous improvement in data architecture and governance while coordinating