Senior Data Engineer

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 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

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.

These aren’t hard 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

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. You’ll get startup-level ownership with platform-level impact, on a team that values thinking, judgment, and responsibility.

We're on a mission to simplify the everyday lives of consumers. Post-purchase is a critical phase of the customer journey. That's why we created Narvar - a platform focused on driving customer loyalty through seamless post-purchase experiences that allow retailers to retain, engage, and delight customers. If you've ever bought something online, there's a good chance you've used our platform!

From the hottest new direct-to-consumer companies to retail’s most renowned brands, Narvar works with GameStop, Neiman Marcus, Sonos, Nike, and 1300+ other brands. With hubs in San Francisco, Atlanta, London, and Bangalore, we've served over 125 million consumers worldwide across 10+ billion interactions, 38 countries, and 55 languages.

Pioneering the post-purchase movement means navigating into the unknown. Our team thrives on this sense of adventure while nurturing a mindset of innovation. We're a home for big hearts and we leave our egos at the door. We work hard but we always make time to celebrate professional wins, baby showers, birthday parties, and everything in between.

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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