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Data Engineer - Fleet Operations & Analytics

Data Engineer - Fleet Operations & Analytics

Ursus IncSan Mateo, CA, United States
19 hours ago
Job type
  • Full-time
Job description

Job Overview

Data Engineer - Fleet Operations & Analytics Foster City, CA

Pay Range : $96.00 - $106.61 / hr Duration : 6 months

Key Responsibilities

Data Infrastructure & Pipelines

  • Design, build, and maintain scalable ETL / ELT pipelines to process vehicle telemetry, service logs, and operations data
  • Build and maintain real-time data pipelines that process fleet telemetry, mission status, and dispatch data
  • Implement monitoring and alerting systems for data quality, latency, and availability
  • Integrate multiple software platforms and design large-scale data processing systems

Cross-Functional Collaboration & Analytics

  • Partner with operations teams (fleet ops, safety, remote assist) to define KPIs and provide accessible, reliable datasets
  • Enable self-service analytics by designing well-documented datasets and tools for dashboards
  • Work closely with data scientists, software engineers, and operations analysts to integrate ML models into production workflows
  • Collaborate with product and operations leadership to translate business needs into data-driven solutions
  • Operational Excellence & Automation

  • Build lightweight automation systems and dashboards to reduce manual workload on dispatch and readiness teams
  • Develop APIs and pipelines that integrate operational data directly into decision-making tools
  • Create structured feedback loops where operational learnings are captured, analyzed, and fed into engineering roadmaps
  • Partner with product and operations engineering teams to address recurring issues and inefficiencies
  • Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related field with 6+ years of experience
  • Master's degree in Engineering preferred (ML experience preferred) with 5+ years of experience
  • Proven experience in data engineering, data science, ML, and predictive analytics
  • Technical Skills

  • Databricks : Proficiency with workflows, jobs, and platform capabilities
  • Data Visualization : Experience with Looker, Tableau, and PowerBI
  • Programming : Strong proficiency in SQL and Python; PySpark experience preferred
  • Database & Analytics : Advanced SQL skills for complex data manipulation and analysis
  • Ability to integrate multiple software platforms and design large-scale data pipelines
  • Core Competencies

  • Excellent communication skills to work cross-functionally with both technical and non-technical stakeholders
  • Strong problem-solving abilities and attention to detail
  • Experience building production-grade data systems with reliability and scalability requirements
  • Ability to translate business requirements into technical solutions
  • Benefits

    Benefits : Medical, Dental, Vision, 401K with company matching; details based on location and role. Compensation is the base hourly rate or annual salary listed unless otherwise stated.

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