- Страна
- Канада
- Зарплата
- 135 000 CA$ – 190 000 CA$
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на вакансии с ИИ

Sr. Data Engineer
Отличная вакансия для опытного инженера: высокая зарплата, удаленная работа, современный стек (GCP) и фокус на передовые технологии (AI/LLM). Компания работает с реальным масштабом и предлагает высокую степень автономности.
Сложность вакансии
Роль требует глубоких знаний GCP (BigQuery, Airflow) и опыта работы с высоконагруженными системами (терабайты данных). Высокая планка ожиданий в области AI-native разработки и самостоятельного принятия архитектурных решений.
Анализ зарплаты
Предлагаемый диапазон 135k–190k CAD является конкурентоспособным для канадского рынка Senior-позиций, особенно для полностью удаленной работы в американской продуктовой компании. Верхняя граница значительно выше медианы по Канаде.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Data Engineer position at Narvar. With over 6 years of experience in building production-grade data systems and a deep proficiency in Python, SQL, and the GCP ecosystem, I am excited about the opportunity to evolve Narvar’s data platform. My background in designing scalable ELT pipelines using Airflow and BigQuery aligns perfectly with your mission to power post-purchase experiences for over 1,500 global brands.
I am particularly drawn to Narvar’s forward-thinking approach to AI-native engineering. I already integrate agentic coding tools into my daily workflow to accelerate development and ensure high code quality. Furthermore, my experience in developing multi-tenant data products and maintaining complex data models ensures that I can contribute immediately to your embedded analytics and LLM-readiness initiatives. I look forward to the possibility of bringing my technical expertise and ownership mindset to your remote-first team.
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Присоединяйтесь к Narvar, чтобы создавать инфраструктуру данных для сотен миллионов потребителей по всему миру!
Описание вакансии
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.
What You’ll Work On
- 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.
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.
#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
$135,000—$190,000 CAD
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Навыки
- Python
- SQL
- Google Cloud Platform
- BigQuery
- Airflow
- Data Modeling
- ETL
- ELT
- CDC
- API
- Cloud SQL
- AlloyDB
- LLM
Возможные вопросы на собеседовании
Вакансия делает упор на использование AI-инструментов в разработке.
Расскажите, как вы используете агентные инструменты кодирования (например, GitHub Copilot, Cursor) для ускорения разработки и обеспечения качества кода?
Компания работает с огромными объемами транзакционных данных.
Опишите ваш опыт оптимизации производительности и стоимости запросов в BigQuery при обработке терабайтных массивов данных.
Упоминается работа с CDC и инкрементальной загрузкой.
Как вы подходите к проектированию пайплайнов для обработки медленно меняющихся измерений (SCD) в архитектуре ELT?
Narvar готовит слой данных для LLM.
Каким образом вы бы спроектировали семантический слой данных, чтобы он был максимально эффективен для использования AI-агентами и LLM?
Роль предполагает владение полным стеком инфраструктуры.
Был ли у вас опыт создания или поддержки инфраструктуры для встроенной аналитики (embedded analytics) в многопользовательских (multi-tenant) продуктах?
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- Страна
- Канада
- Зарплата
- 135 000 CA$ – 190 000 CA$