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Data Engineer Job at International Rescue Committee
International Rescue Committee
Job Description
The Data Engineer will support the implementation, configuration, and maintenance of data pipelines and transformation workflows across IRC's data environment. This role plays an active part in building and operating ELT processes, dbt models, and cloud-based data platforms including Azure Databricks and the IRC Lakehouse.
Working closely with senior engineers and the Data Architect, this role contributes to data modeling, pipeline development, and platform reliability in a collaborative and fast-paced environment.
Duties, Roles and Responsibilities
Pipeline Engineering & Orchestration
- Build and maintain ELT data pipelines using Databricks Workflows and Azure Data Factory for batch and scheduled processing from internal and external sources.
- Support the ingestion of data from key systems (e.g., D365 CRM, ServiceNow) into Lakehouse.
- Monitor pipeline execution, identify failures, and troubleshooting issues in collaboration with senior engineers.
- Contribute to pipeline documentation and help maintain runbooks and process standards.
- Develop and maintain dbt models across staging, intermediate, and mart layers under the guidance of senior team members.
- Write dbt tests and contribute to source freshness checks to support data quality.
- Learn and apply dbt best practices including modular design, ref dependencies, and incremental model patterns.
- Work with analysts and business teams to translate data requirements into dbt models.
- Write intermediate to advanced SQL for data extraction, transformation, and validation tasks.
Qualifications, Education and Competencies
See all details of the qualifications, competencies and education for this role under the "How to Apply" section below.
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