Senior Data Engineer - Remote, Snowflake & ServiceNow

AgileEngine, LLC.

León

Presencial

MXN 900.000 - 1.100.000

Jornada completa

Hace 11 días

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Ventajas ofrecidas por este puesto de trabajo

Growth without limits
Competitive compensation
Flexibility: 100% remote
Meaningful, modern projects
Collaborative culture
Well-being & support

Descripción de la vacante

AgileEngine is looking for a Senior Data Engineer to engineer, automate, and manage robust data ingestion workflows within an Enterprise Service Management team, ensuring seamless integration with downstream systems including ServiceNow.

You will own end-to-end data pipelines from ingestion to validation, collaborate with cross-functional teams, and design scalable data architectures that support business growth.

Formación

  • 4+ years of backend development experience using Python.
  • Experience building data ingestion workflows and pipelines.
  • Hands-on experience with Snowflake and OpenTelemetry.
  • Proven ability to build integrations with ServiceNow.
  • Strong SQL skills for data manipulation and querying.

Responsabilidades

  • Engineer, automate, and manage robust data ingestion workflows.
  • Ensure data pipelines integrate with downstream systems.
  • Build and maintain reliable integrations with ServiceNow.
  • Leverage Snowflake and OpenTelemetry to optimize data flow and observability.
  • Troubleshoot bottlenecks or failures in automated data pipelines.
  • Implement data validation checks and maintain data integrity.

Conocimientos

Python
Backend development
Data ingestion workflows
SQL
ServiceNow integration
OpenTelemetry
Snowflake

Herramientas

Snowflake
OpenTelemetry
ServiceNow

Descripción del empleo

AgileEngine is looking for a Senior Data Engineer to engineer, automate, and manage robust data ingestion workflows within an Enterprise Service Management team, ensuring seamless integration with downstream systems including ServiceNow.

You will own end-to-end data pipelines from ingestion to validation, collaborate with cross-functional teams, and design scalable data architectures that support business growth.

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