remote
Data Integrations Engineer - Riskified
Software Engineer
Lead the design and maintenance of scalable data pipelines that ingest, transform, and deliver high‑quality data for fraud detection and risk analytics, leveraging Python, SQL, AWS services, and Airflow orchestration.
About the role
Key Responsibilities
- Design, develop, and maintain robust ETL pipelines to ingest data from diverse sources into the data lake and warehouse.
- Implement data transformation logic using Python and SQL, ensuring data quality, consistency, and compliance with privacy regulations.
- Orchestrate workflows with Apache Airflow, monitoring execution, troubleshooting failures, and optimizing performance.
- Collaborate with data scientists and product teams to understand data requirements and deliver actionable insights.
- Document data models, pipeline architecture, and best practices for future maintainability.
Requirements
- 3+ years of experience building data pipelines in a production environment.
- Strong proficiency in Python, SQL, and experience with AWS services (S3, Redshift, Glue, Lambda).
- Hands‑on experience with Airflow or similar workflow orchestration tools.
- Solid understanding of data modeling, schema design, and data quality principles.
- Excellent problem‑solving skills and ability to work collaboratively in a fast‑paced, cross‑functional team.