Job Description
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.
Visit gomotive.com to learn more.
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.
What You'll 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.
- 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.
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
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.
Skills Required
- 6+ years of experience in Analytics Engineering Data Engineering or similar role
- Deep expertise in SQL and developing complex data models for analytical purposes
- High proficiency in Snowflake and experience with Open Table Formats like Iceberg
- Hands-on experience with dbt for data transformation
- Experience with orchestration and ETL tools like Airflow
- Proficient in AWS cloud platform
- Experience with Python for programming and data ingestion
- Familiarity with Infrastructure as Code using Terraform
- Experience with AI coding assistants for development
What the Team is Saying






Motive Compensation & Benefits Highlights
- Healthcare Strength—Healthcare coverage includes medical dental vision and free mental‑health support with indications of comprehensive plan options. Feedback suggests employer cost sharing is favorable and mental‑health resources are robust.
- Leave & Time Off Breadth—Time off highlights include generous vacation local holidays sick leave and enhanced parental leave. Feedback suggests an unlimited or flexible PTO culture exists on some teams.
- Flexible Benefits—Flexibility includes remote‑first options with a work‑from‑home stipend and hybrid or in‑office choices. Feedback suggests day‑to‑day flexibility is a common part of the package.
Motive Insights
What We Do
Motive builds technology to improve the safety productivity and profitability of businesses that power the physical economy. The Motive Automated Operations Platform combines IoT hardware with AI-powered applications to automate vehicle and equipment tracking driver safety compliance maintenance spend management and more. Motive serves more than 120000 businesses across a wide range of industries including trucking and logistics construction oil and gas food and beverage field service agriculture passenger transit and delivery. Visit gomotive.com to learn more.
Why Work With Us
We work hard with humility and we see our efforts rewarded in tangible ways every day. At Motive you’ll have the chance to make a difference for the drivers who keep our world moving. We trust each other to do great work because together we can achieve collective goals that reach beyond the physical economy.
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Date Posted
05/08/2026
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