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Role and Impact:
- Build and operate data pipelines that handle over 10 billion consumer interactions.
- Own data lineage, metadata, and documentation for agentic and LLM-powered use cases.
- Collaborate with product, ML, and GTM teams to drive technical direction.
What We're Looking For:
- 5-8 years of experience building production data systems.
- Strong SQL and Python skills, with comfort in building APIs.
- Deep understanding of data modeling and cloud data warehouses.
Why Data Engineering at Narvar:
- Data products are the product—merchants make decisions from the analytics you build.
- Opportunity to prepare data for agentic AI and LLM applications.
- Startup-level ownership with platform-level impact.
Narvar
Narvar is building the data infrastructure behind the post-purchase experiences of hundreds of millions of consumers, powering analytics, ML, and merchant-facing products for over 1,500 brand partners. The company serves 125+ million consumers worldwide across 38 countries and 55 languages, fostering a culture of innovation, collaboration, and inclusivity.