Remote Python Data Engineer — Data Pipelines & ServiceNow

AgileEngine, LLC.

Porto

Presencial

EUR 55 000 - 75 000

Tempo integral

Há 7 dias
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Vantagens oferecidas por esta oferta de emprego

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

Resumo da oferta

AgileEngine is seeking a Python Data Engineer to design, automate, and manage robust data ingestion workflows. You will enable seamless integration with downstream systems like ServiceNow and optimize data flow using Snowflake and OpenTelemetry.

The role requires 4+ years of backend Python experience with hands-on data pipelines, data validation, and strong SQL skills. This is a remote position with flexible hours and collaboration with global teams.

Qualificações

  • 4+ years of backend Python development experience.
  • 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 workflows that ingest data.
  • Ensure data pipelines integrate seamlessly with downstream systems.
  • Build and maintain reliable integrations with ServiceNow.
  • Leverage Snowflake and OpenTelemetry to optimize data flow and system observability.
  • Troubleshoot and resolve bottlenecks or failures within automated data pipelines.
  • Implement data validation checks and maintain data integrity across all workflows.

Conhecimentos

Python
Data ingestion
Snowflake
OpenTelemetry
ServiceNow
SQL

Ferramentas

Apache Airflow
Prefect
Dagster

Descrição da oferta de emprego

AgileEngine is seeking a Python Data Engineer to design, automate, and manage robust data ingestion workflows. You will enable seamless integration with downstream systems like ServiceNow and optimize data flow using Snowflake and OpenTelemetry.

The role requires 4+ years of backend Python experience with hands-on data pipelines, data validation, and strong SQL skills. This is a remote position with flexible hours and collaboration with global teams.

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