Data Engineer

Vancouver · VancouverHybridmid

Data EngineeringData EngineerDataData & AI

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Quick Summary

Key Responsibilities

Collaborate & Strategize: Partner closely with business stakeholders to understand their challenges and design end-to-end architecture that solves complex business problems.

Requirements Summary

Canada $133,000 — $182,000 CAD Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds,

Technical Tools

Data EngineeringData EngineerDataData & AI

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves nearly 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.

About the Role

~1 min read

As a Data Engineer on our BI team, you’ll be a key player in Motive’s growth, delivering the data infrastructure for the AI era. You’ll act as the essential link between complex data and key business domains, delivering the high-quality datasets and semantic models that drive global strategy. This is an exciting opportunity to implement cutting-edge tooling, leverage AI to enhance your workflow, and master a modern data stack in a fast-evolving environment.

This is the perfect role for a "jack of all trades" data practitioner. You’ll design data models, build robust pipelines, manage DevOps and automated systems, and implement AI-driven data tooling. You’ll even get your hands dirty building dashboards and performing deep-dive analysis. If you love working full-stack and owning the entire data lifecycle, you’ll love this role.

Responsibilities

~1 min read

→Collaborate & Strategize: Partner closely with business stakeholders to understand their challenges and design end-to-end architecture that solves complex business problems.
→Build & Maintain Data Models: Design, develop, and own robust, efficient, and scalable data models in Snowflake and Iceberg using dbt and advanced SQL.
→Orchestrate & Automate: Build and manage reliable data pipelines and CI/CD workflows using tools like Airflow, Python, and Terraform to ensure data is fresh, trustworthy, and infrastructure is version-controlled.
→Champion Data Quality: Implement rigorous testing, documentation, and data governance practices to maintain a single source of truth.
→Enable Analytics & Workflows: Act as the Product Owner and Tech Lead for your data domains, taking responsibility for the end-to-end data product delivery– from raw ingestion to data models enabling analytics and data apps in tools like Tableau and Retool.
→Innovate with AI: Help us build our next-generation data infrastructure by integrating AI capabilities (like Snowflake Cortex AI) to democratize analytics and empower the business.
→Architect Observability: Implement monitoring and alerting frameworks (e.g., dbt packages or Monte Carlo monitors) to proactively catch "silent" data failures before stakeholders do.

6+ years of experience in Analytics Engineering, Data Engineering, or a similar role.
Deep expertise in SQL and developing complex data models for analytical purposes (e.g., dimensional modeling).
Hands-on experience with:
- Data Warehousing: High proficiency in Snowflake (preferred) and experience with Open Table Formats like Iceberg.
- Data Transformation: dbt
- Orchestration & ETL: Airflow, Fivetran, Airbyte
- Cloud Platform: AWS
- Programming/Ingestion: Python
- Infrastructure as Code: Terraform
- AI-Augmented Development: Proficiency using AI coding assistants (Cursor, Copilot, or Claude) to accelerate development and automate routine tasks.
A strong analytical mindset with a proven ability to solve ambiguous business problems with data.
Excellent communication skills and experience working cross-functionally.
Self-starter with the ability to self-project manage work
A user focus with the ability to understand how a data consumer will use the data products you build

Nice to Have

~1 min read

Experience building semantic models for natural language querying
Direct experience with advanced Snowflake features (e.g., Snowpark, Cortex AI).
Experience building visualizations and dashboards in tools like Tableau, Retool, or Thoughtspot.

Your compensation may be based on several factors, including education, work experience, and certifications. For certain roles, total compensation may include restricted stock units. Motive offers benefits including health, pharmacy, optical and dental care benefits, paid time off, sick time off, short term and long term disability coverage, life insurance as well as 401k contribution (all benefits are subject to eligibility requirements). Learn more about our benefits by visiting Motive Perks & Benefits.

The compensation range for this position will depend on where you reside. For this role, the compensation range is:

Canada

$133,000—$182,000 CAD

Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.

Please review our Candidate Privacy Notice here.

UK Candidate Privacy Notice here.

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.