Data Engineer

Who we are:

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 100000 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.

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As a Data Engineer on our BI team youll be a key player in Motives growth delivering the data infrastructure for the AI era. Youll 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. Youll design data models build robust pipelines manage DevOps and automated systems and implement AI-driven data tooling. Youll even get your hands dirty building dashboards and performing deep-dive analysis. If you love working full-stack and owning the entire data lifecycle youll love this role.

What Youll Do:

• 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.

What Were Looking For:

• 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

Bonus Points (Nice-to-Haves)

• 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.

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

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