Senior Data Engineer - Ingestion & Connectors (Remote)

Rm Staffing B.V.

Ciudad de Mendoza

Remote

ARS 185,448,000 - 278,173,000

Full time

43 hours ago
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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 data platform in a regulated healthcare setting. You will own data ingestion, orchestration, and quality, while collaborating with Cloud/DevOps, Analytics, Security, and client stakeholders.

This role requires strong SQL, dbt, Python, and experience with E2E data pipelines. You will help design scalable data ingestion architectures, manage production reliability, and mentor mid-level engineers.

Qualifications

  • 5+ years in Data Engineering or Data Platform Engineering.
  • Snowflake data-layer design, warehouse performance, access patterns, and production troubleshooting.
  • Advanced SQL and dbt for transformation, testing, documentation, lineage, and controlled deployment.
  • Experience with Fivetran or HVR and custom ingestion pipelines.
  • Hands-on AWS data services, especially S3 and event/file-driven ingestion.
  • Experience with Argo Workflows on Kubernetes or similar orchestration tools.
  • Python or similar language for data engineering and automation.
  • Strong data modeling, pipeline dependencies, schema evolution, backfills and data quality.

Responsibilities

  • Provide senior technical ownership for the Data Platform during LatAm coverage, including escalation.
  • Operate Snowflake in production and non-production with monitoring and optimization.
  • Administer data access with least-privilege controls and audit-ready practices.
  • Operate and improve ingestion across Fivetran, HVR, and custom pipelines.
  • Design and maintain pipelines and dbt models across RAW, CURATED, CONSUMPTION layers with CI/CD.
  • Support AWS S3 data-lake operations and downstream Snowflake workloads.
  • Coordinate with Cloud/DevOps for Argo/Kubernetes workloads.
  • Define data quality and observability standards, including freshness and schema drift checks.
  • Expand monitoring and lineage with tools like dbt, Snowflake audit data, Splunk, and alerting.
  • Lead major data incidents, root-cause analysis, and preventive actions.
  • Mentor engineers and ensure smooth handoffs across teams.
  • Participate in on-call rotation and customer-facing technical sessions.

Skills

5+ yrs exp
Snowflake
Advanced SQL
dbt
Fivetran
HVR
AWS S3
Argo Workflows
Python
Data modeling
Data quality
Observability
Incident mgmt
Root-cause analysis
Decision making
Mentoring
English
On-call PT availability

Job description

AgileEngine is seeking a Senior Data Engineer to operate and improve a Snowflake-based data platform in a regulated healthcare setting. You will own data ingestion, orchestration, and quality, while collaborating with Cloud/DevOps, Analytics, Security, and client stakeholders.

This role requires strong SQL, dbt, Python, and experience with E2E data pipelines. You will help design scalable data ingestion architectures, manage production reliability, and mentor mid-level engineers.

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