Senior Data Engineer at Narvar building data infrastructure for e-commerce analytics and merchant products. You'll design data pipelines and improve data quality while collaborating across teams.
Responsibilities
Design, build, and operate data pipelines that process terabytes of transactional data daily using Airflow/Composer and BigQuery
Own end-to-end data models and transformations that power merchant analytics
Build and maintain embedded analytics infrastructure
Evolve data platform on GCP, including BigQuery, Cloud SQL, AlloyDB, and CDC datastreams
Improve data quality and reliability through testing, observability, alerting, and validation frameworks
Own data lineage, metadata, and documentation
Collaborate cross-functionally with product, ML, and GTM teams
Requirements
5–8 years of experience building and operating production data systems
Strong SQL skills
Proficient in Python
Comfortable building and maintaining APIs
Experience with modern data stacks on cloud platforms (GCP preferred, but AWS or Azure transfers well)
Understand data modeling deeply
Treat data quality, lineage, and observability as first-class engineering concerns
Communicate clearly with technical and non-technical stakeholders
Experience using AI and agentic coding tools as a core part of work
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