Senior Data Platform Engineer - Snowflake & Data Pipelines

AgileEngine, LLC.; Capital; Híbrido; COP 463.668.000 - 629.264.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive pay

Exciting projects

Flextime

Descripción de la vacante

AgileEngine is seeking a Senior Data Engineer to operate and improve a Snowflake-based data platform in a regulated healthcare environment. You will own day-to-day operations, optimize warehouses, implement data ingestion pipelines, and ensure data quality across RAW, CURATED, and CONSUMPTION layers.

Responsibilities include collaboration with Cloud/DevOps, secure access controls, leading incident responses, and mentoring engineers while maintaining on-call readiness for Pacific Time

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 and production troubleshooting.
• Advanced SQL skills and strong experience with dbt for transformation, testing, documentation, lineage, and controlled deployment.
• Experience operating 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 data workloads with Argo Workflows on Kubernetes or similar.
• Proficiency in Python or a comparable language for data engineering, automation, and tooling.
• Strong understanding of data modeling, pipeline dependencies, schema evolution, backfills, data validation and QA.
• Experience with observability, logging, alerting and incident-management practices for production data platforms.
• Ability to lead complex incident resolution, perform root-cause analysis, and implement preventive actions.
• Ability to make well-reasoned technical decisions, estimate work, and guide improvements across a complex platform.
• Experience mentoring engineers and collaborating with Cloud/DevOps, Analytics, Security, Governance, and stakeholders.
• Strong written/verbal English communication; able to work with client stakeholders.
• Full availability to work from 9:00 AM to 6:00 PM Pacific Time and participate in on-call rotation.

Responsabilidades

• Provide senior technical ownership for the Data Platform service during LatAm coverage window, including operations and escalation.
• Operate and improve Snowflake production and non-production environments, including warehouse configuration and performance monitoring.
• Administer data access with least-privilege and audit-ready practices.
• Manage data ingestion across Fivetran, HVR, and custom pipelines, including scheduling and quality checks.
• Design, build, and maintain pipelines and dbt models across RAW, CURATED, CONSUMPTION layers with testing and CI/CD.
• Support AWS S3 data-lake operations, including lifecycle and access patterns.
• Coordinate with Cloud/DevOps for Argo Workflows and Kubernetes-hosted workloads.
• Define and improve data quality and observability standards (freshness, row-count, nulls, schema drift).
• Expand end-to-end monitoring and lineage using SYNQ, dbt, Snowflake audit data, Splunk, and alerts.
• Lead or support major data incidents, perform root-cause analysis, and implement preventive actions.
• Support Tableau Cloud operations where applicable.
• Identify and deliver standardization, automation, reliability, performance, cost improvements.
• Execute work through incident/change/release processes; create runbooks and documentation.
• Mentor mid-level engineers and ensure effective handoffs across the team.
• Participate in on-call rotation for critical incidents outside staffed hours.

Conocimientos

Snowflake

SQL

dbt

Python

Fivetran

HVR

AWS

Argo Workflows

Kubernetes

Data modeling

Observability

Incident management

Mentoring

English communication

Herramientas

Argo Workflows

Kubernetes

dbt

Snowflake

Descripción del empleo

AgileEngine is seeking a Senior Data Engineer to operate and improve a Snowflake-based data platform in a regulated healthcare environment. You will own day-to-day operations, optimize warehouses, implement data ingestion pipelines, and ensure data quality across RAW, CURATED, and CONSUMPTION layers.

Responsibilities include collaboration with Cloud/DevOps, secure access controls, leading incident responses, and mentoring engineers while maintaining on-call readiness for Pacific Time