Senior Data Engineer - Remote Data Pipelines & ServiceNow

AgileEngine, LLC.; Santiago de Querétaro; Presencial; MXN 900.000 - 1.300.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Competitive compensation

Flexibility: 100% remote with flexible

Meaningful, modern projects

Collaborative culture

Well-being & support

Descripción de la vacante

AgileEngine, LLC. is seeking a Senior Data Engineer to design, automate, and manage data ingestion workflows within our Enterprise Service Management team, ensuring seamless integration with downstream systems.

You will use Python, Snowflake, and OpenTelemetry with ServiceNow integrations. The ideal candidate has 4+ years of backend Python experience, strong SQL skills, and hands-on data pipelines experience.

Formación

• 4+ years of backend development experience using Python.
• Experience building data ingestion workflows and pipelines.
• Hands-on experience with Snowflake and OpenTelemetry, plus ServiceNow integrations.
• 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 integrations with ServiceNow.
• Leverage Snowflake and OpenTelemetry to optimize data flow and observability.
• Troubleshoot and resolve bottlenecks in automated data pipelines.
• Implement data validation checks and maintain data integrity.

Conocimientos

Python backend development

Data ingestion workflows

SQL querying

Data integration with downstream

Herramientas

Snowflake

OpenTelemetry

ServiceNow

Descripción del empleo

AgileEngine, LLC. is seeking a Senior Data Engineer to design, automate, and manage data ingestion workflows within our Enterprise Service Management team, ensuring seamless integration with downstream systems.

You will use Python, Snowflake, and OpenTelemetry with ServiceNow integrations. The ideal candidate has 4+ years of backend Python experience, strong SQL skills, and hands-on data pipelines experience.