Top Benefits
About the role
Who you are
- 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
- 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
What the job involves
- 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
Benefits
- Grow and thrive: Feel empowered to take responsibility and ownership. Gain valuable mentorship, grow professional, and expand your skill set.
- Recharge and be well: Our benefits are designed with you in mind, offering comprehensive health, vision, and dental plans, generous parental leave, and flexible time off to support your well-being.
- Hybrid work: We consider the San Francisco Bay Area home, but the Narvar family extends across the globe to cities like Atlanta, New York, Bangalore, and London.
- Stay connected: Connect with fellow Narvarians who share your passions -from fitness tips to whisky club and everything in between. Celebrate big wins and everyday moments through regional and global company gatherings.
- Health insurance
Not the right fit? Search for Software Engineer jobs in Canada
About Narvar
Who We Are
If you've ever bought something online, there's a good chance we’ve already met—we are Narvar.
Narvar pioneered how brands engage with consumers beyond the "buy" button through order tracking, delivery notifications, returns and exchanges. Today, Narvar's comprehensive post-purchase platform empowers 1200+ of the world's most-admired brands—including Sephora, Levi's, and L'Oréal—to build trust, retain revenue, and grow customer lifetime value.
What We Do
Narvar's end-to-end post-purchase platform focuses on driving customer loyalty and increasing lifetime value through the provisions of a seamless post-purchase experience. Recognized by Fast Company as one of its "most innovative companies", Narvar serves 80% of US adults annually across 2 billion outbound shipments and 80 million returns. Worldwide, we touch over 125 million consumers each year across 8 billion interactions in 38 countries and in 55 languages.
What We Stand For
As pioneers of the post-purchase movement, we believe in fearlessly navigating the unknown. We are professionals who thrive on adventure and nurture a collective mindset of constant innovation. Ours is a home for full hearts and creative minds—not big egos—because we know that kind of home leads to the biggest innovations in customer experience.
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Top Benefits
About the role
Who you are
- 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
- 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
What the job involves
- 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
Benefits
- Grow and thrive: Feel empowered to take responsibility and ownership. Gain valuable mentorship, grow professional, and expand your skill set.
- Recharge and be well: Our benefits are designed with you in mind, offering comprehensive health, vision, and dental plans, generous parental leave, and flexible time off to support your well-being.
- Hybrid work: We consider the San Francisco Bay Area home, but the Narvar family extends across the globe to cities like Atlanta, New York, Bangalore, and London.
- Stay connected: Connect with fellow Narvarians who share your passions -from fitness tips to whisky club and everything in between. Celebrate big wins and everyday moments through regional and global company gatherings.
- Health insurance
Not the right fit? Search for Software Engineer jobs in Canada
About Narvar
Who We Are
If you've ever bought something online, there's a good chance we’ve already met—we are Narvar.
Narvar pioneered how brands engage with consumers beyond the "buy" button through order tracking, delivery notifications, returns and exchanges. Today, Narvar's comprehensive post-purchase platform empowers 1200+ of the world's most-admired brands—including Sephora, Levi's, and L'Oréal—to build trust, retain revenue, and grow customer lifetime value.
What We Do
Narvar's end-to-end post-purchase platform focuses on driving customer loyalty and increasing lifetime value through the provisions of a seamless post-purchase experience. Recognized by Fast Company as one of its "most innovative companies", Narvar serves 80% of US adults annually across 2 billion outbound shipments and 80 million returns. Worldwide, we touch over 125 million consumers each year across 8 billion interactions in 38 countries and in 55 languages.
What We Stand For
As pioneers of the post-purchase movement, we believe in fearlessly navigating the unknown. We are professionals who thrive on adventure and nurture a collective mindset of constant innovation. Ours is a home for full hearts and creative minds—not big egos—because we know that kind of home leads to the biggest innovations in customer experience.