Senior Software Engineer, Data
About The Position
Narvar is seeking a Senior Software Engineer, Data to own and evolve the pipelines, platforms, and data products that power Narvar’s analytics, ML, and merchant-facing products. The role involves working across the full stack of data infrastructure, from ingestion and transformation to the analytics surfaces merchants use daily. The engineer will make architectural decisions, ship production systems at scale, and is expected to work in an AI-native way using agentic coding tools. This is a fully remote position, open to candidates in Canada able to work within EST/EDT hours.
Requirements
- 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
- Comfortable building and maintaining APIs
- Experience 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
- Deep understanding of data modeling — dimensional modeling, slowly changing dimensions, incremental processing
- Treat data quality, lineage, and observability as first-class engineering concerns
- Clear communication with technical and non-technical stakeholders and comfort 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
Nice To Haves
- Worked in a startup or high-ownership environment where you wore multiple hats
- Built or maintained embedded analytics or multi-tenant data products
- Excited about making data accessible to AI systems, whether that’s through better metadata, semantic layers, or preparing datasets for agentic workflows
- Care about cost optimization and data governance
Responsibilities
- 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
- Annual bonus
- Equity
- Health insurance
- Professional development
- Paid holidays
- Paid volunteer time
- Celebration of professional wins, baby showers, birthday parties
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
