Narvar is growing! We’re building the data infrastructure behind the post-purchase experiences of hundreds of millions of consumers. When a shopper tracks a package, initiates a return, or gets a delivery notification through one of our 1,500+ brand partners, our data systems are doing the work behind the scenes.

We’re looking for a Senior Software Engineer, Data to own and evolve the pipelines, platforms, and data products that power Narvar’s analytics, ML, and merchant-facing products. You’ll work across the full stack of our data infrastructure, from ingestion and transformation to the analytics surfaces our merchants use every day. You’ll make architectural decisions, ship production systems at scale, and we expect you to work in an AI-native way, using agentic coding tools to increase your leverage and ship faster.

For this role, you can be located in Canada and able to work within EST/EDT hours. We are fully remote.

What We’Re Looking For

We care about judgment and ownership over credentials. You’re likely a strong fit if you: Have 5–8 years of experience building and operating production data systems Have strong SQL skills and are proficient in Python, with flexibility to pick up other languages as needed. Comfortable building and maintaining APIs.

Have worked with modern data stacks on cloud platforms (GCP preferred, but AWS or Azure transfers well), including cloud data warehouses like BigQuery, ELT patterns, and orchestration with Airflow Understand data modeling deeply — dimensional modeling, slowly changing dimensions, incremental processing Treat data quality, lineage, and observability as first-class engineering concerns Communicate clearly with technical and non-technical stakeholders and are comfortable working cross-functionally Already use AI and agentic coding tools as a core part of how you work for planning, code generation, debugging, and code review.

Requirements

, but strong indicators: You’ve worked in startup or high-ownership environments where you wore multiple hats You’ve built or maintained embedded analytics or multi-tenant data products You’re excited about making data accessible to AI systems, whether that’s through better metadata, semantic layers, or preparing datasets for agentic workflows You care about cost optimization and data governance Why Data Engineering at Narvar? Because post-purchase is one of the most data-rich and underserved problem spaces in e-commerce. We process 10+ billion consumer interactions across 1,500+ retailers, 38 countries, and 55 languages.

That data spans tracking, returns, claims, notifications, and customer care. Most data engineering roles have you building pipelines for internal dashboards. Here, the data products you build are the product — merchants make decisions from the analytics we surface, and our agentic AI (Navi) reasons over the data layer you help shape.

We’re at an inflection point, investing in embedded merchant analytics and LLM-readiness.