Remote Python Data Engineer: Data Pipelines & ServiceNow

AgileEngine, LLC.; Aveiro; Presencial; EUR 103 000 - 129 000; Tempo integral

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 engineer, automate, and manage robust data ingestion workflows within an Enterprise Service Management team. You will use Python, Snowflake, OpenTelemetry, and strong SQL skills to ensure seamless integration with ServiceNow and downstream systems.

You will design and optimize end-to-end pipelines, monitor data quality, and troubleshoot bottlenecks while collaborating with global teams on modern data products.

Qualificações

• 4+ years of backend Python experience and data pipelines.
• Experience building data ingestion workflows and pipelines.
• Hands-on Snowflake and OpenTelemetry experience.
• 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 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 across workflows.

Conhecimentos

Python

Data ingestion workflows

Snowflake

OpenTelemetry

ServiceNow

SQL

Ferramentas

Airflow

Prefect

Dagster

Descrição da oferta de emprego

AgileEngine is seeking a Python Data Engineer to engineer, automate, and manage robust data ingestion workflows within an Enterprise Service Management team. You will use Python, Snowflake, OpenTelemetry, and strong SQL skills to ensure seamless integration with ServiceNow and downstream systems.

You will design and optimize end-to-end pipelines, monitor data quality, and troubleshoot bottlenecks while collaborating with global teams on modern data products.