Senior Software Engineer II - Data

Narvar — Canada · Posted ~1 day ago

Senior Full-time Remote

Skills

data engineering data pipelines data infrastructure data modeling analytics machine learning system architecture AI coding tools

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Summary ✨ AI‑Generated

Join a fully remote data engineering team as a Senior Software Engineer II and own the pipelines, platforms, and data products behind large-scale analytics and machine learning systems. You will design and operate data infrastructure, make architectural decisions, deliver production systems, and use AI-native development tools to increase engineering leverage.

Highlights

Fully remote role for candidates located in Canada and working within EST/EDT hours. Own and evolve large-scale data infrastructure, make architectural decisions, ship production systems, and work with modern AI-native development practices.

Description

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 II, 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 should be located in Canada and able to work within EST/EDT hours. We are fully remote. Day-to-day Design, build, and operate data pipelines that process terabytes of transactional data daily using Airflow/Composer and BigQueryOwn end-to-end data models and transformations that power merchant analytics, operational reporting, and ML featuresBuild and maintain embedded analytics infrastructure — the data products our merchants interact with directlyEvolve our data platform on GCP, including BigQuery, Cloud SQL, AlloyDB, and CDC datastreamsImprove data quality and reliability through testing, observability, alerting, and validation frameworksOwn data lineage, metadata, and documentation, and help prepare our data layer for agentic and LLM-powered use cases with semantic clarity and standardized metric definitionsCollaborate cross-functionally with product, ML, and GTM teams, and contribute to technical direction through design docs and architecture decisions 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 systemsHave 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 AirflowUnderstand data modeling deeply — dimensional modeling, slowly changing dimensions, incremental processingTreat data quality, lineage, and observability as first-class engineering concernsCommunicate clearly with technical and non-technical stakeholders and are comfortable working cross-functionallyAlready use AI and agentic coding tools as a core part of how you work for planning, code generation, debugging, and code review. Signals That You’ll Thrive Here These Aren’t Hard Requirements, But Strong Indicators You’ve worked in startup or high-ownership environments where you wore multiple hatsYou’ve built or maintained embedded analytics or multi-tenant data productsYou’re excited about making data accessible to AI systems, whether that’s through better metadata, semantic layers, or preparing datasets for agentic workflowsYou 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. You’ll get startup-level ownership with platform-level impact, on a team that values thinking, judgment, and responsibility. Why Narvar? 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. Below is the estimated annual salary for this position and does not include the other components that make up a Narvar offer including: annual bonus, equity, and benefits. The range reflects the minimum and maximum target for new hire salaries for the position across the US. Within the range, individual compensation packages are based on factors unique to each candidate, including but not limited to, skill set, education and certifications, and work location. Narvar Pay Range $180,000—$230,000 CAD Please read our Privacy Policy to learn what personal information we collect in connection with your job application, and how we may use and share it.