Narvar

Senior Software Engineer

Narvar$180K — $230K *
US-AnywhereRemote in Canada
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-8 years of experience building and operating production data systems
  • Strong SQL skills and proficient in Python; flexibility to learn other languages
  • Experience with cloud platforms and modern data stacks (GCP preferred)
  • Deep understanding of data modeling, including dimensional modeling and incremental processing
  • Commitment to data quality, lineage, and observability as key engineering aspects
  • Ability to communicate effectively with technical and non-technical stakeholders
  • Experience with AI and agentic coding tools in daily workflows

Responsibilities

  • Design, build, and operate data pipelines processing terabytes of data daily using Airflow/Composer and BigQuery
  • Own end-to-end data models and transformations for analytics and ML features
  • Build and maintain embedded analytics infrastructure for merchant interactions
  • Evolve data platform on GCP, including BigQuery and CDC datastreams
  • Improve data quality and reliability through robust testing and validation frameworks
  • Manage data lineage, metadata, and documentation for agentic use cases
  • Collaborate with cross-functional teams to contribute to technical direction

Benefits

  • Fully remote working environment
  • Opportunity to work within a data-rich and underserved market in e-commerce
  • High level of ownership with impactful projects
  • Engagement in building products that influence merchant decision-making
  • Access to a startup culture that values thinking, judgment, and responsibility
Full Job Description
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.

Day-to-day
  • 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
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.
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 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. You'll get startup-level ownership with platform-level impact, on a team that values thinking, judgment, and responsibility.

#LI-Remote

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

About Narvar

Narvar is a logistics technology company that provides a platform for retailers to manage their post-purchase customer experience. The platform includes shipment tracking, returns management, and customer communication tools. Narvar's customers include major retailers such as Sephora, Patagonia, and Levi's. The company was founded in 2012 and is headquartered in San Mateo, California.
Learn more about Narvar
Size
500 employees
Industry
Founded
2012

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