[Hiring] Senior Data Engineer II @Narvar

Role Description

Narvar is growing! We’re building the data infrastructure behind the post-purchase experiences of hundreds of millions of consumers. We’re looking for a Senior Data Engineer 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.

• 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, operational reporting, and ML features
• Build and maintain embedded analytics infrastructure — the data products our merchants interact with directly
• Evolve our 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, and help prepare our data layer for agentic and LLM-powered use cases with semantic clarity and standardized metric definitions
• Collaborate cross-functionally with product, ML, and GTM teams, and contribute to technical direction through design docs and architecture decisions

Qualifications

• 5–8 years of experience building and operating production data systems
• Strong SQL skills and proficiency in Python, with flexibility to pick up other languages as needed
• Experience building and maintaining APIs
• Worked with modern data stacks on cloud platforms (GCP preferred, but AWS or Azure transfers well)
• Understanding of data modeling, including dimensional modeling, slowly changing dimensions, and incremental processing
• Treat data quality, lineage, and observability as first-class engineering concerns
• Clear communication with technical and non-technical stakeholders
• Experience using AI and agentic coding tools for planning, code generation, debugging, and code review

Requirements

• Experience in startup or high-ownership environments where you wore multiple hats
• Experience building or maintaining embedded analytics or multi-tenant data products
• Excitement about making data accessible to AI systems through better metadata, semantic layers, or preparing datasets for agentic workflows
• Care for cost optimization and data governance

Benefits

• Startup-level ownership with platform-level impact
• Opportunity to work on data-rich and underserved problem spaces in e-commerce
• Collaborative team environment that values thinking, judgment, and responsibility

Company Description

Narvar is on a mission to simplify the everyday lives of consumers. We focus on driving customer loyalty through seamless post-purchase experiences that allow retailers to retain, engage, and delight customers.

• Works with over 1,300 brands including GameStop, Neiman Marcus, Sonos, and Nike
• Served over 125 million consumers worldwide across 10+ billion interactions
• Operates in 38 countries and 55 languages
• Team thrives on innovation and adventure
• Equal-opportunity employer valuing diversity