Senior Data Engineer, Fleet Operations & Analytics (Foster City)
HireArt
Software Engineering, Operations, Data Science
Foster City, CA, USA
USD 103-108 / hour
Posted on Oct 11, 2025
Apply to An Autonomous Mobility Company
Senior Data Engineer, Fleet Operations & Analytics (Foster City)
An Autonomous Mobility Company
Full time
Location
Foster City, CA, United States
Work environment
In-person
Expected pay amount
103.00 - 108.00 USD Per Hour
Schedule
Mon-Fri, 40 hours per week onsite
Assignment length
Contract
Job description
HireArt is helping an on-demand, autonomous ride-hailing company hire a Senior Data Engineer, Fleet Operations & Analytics to build and maintain the data infrastructure that powers the company's autonomous fleet operations.
In this role, you will design scalable pipelines to process vehicle telemetry, create feedback loops that drive product improvements, and enable data-driven decision making across operations, safety, and engineering teams.
The ideal candidate holds a Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related field with 6+ years of experience in data engineering, data science, ML, and predictive analytics.
As a Senior Data Engineer, Fleet Operations & Analytics, you'll:
In this role, you will design scalable pipelines to process vehicle telemetry, create feedback loops that drive product improvements, and enable data-driven decision making across operations, safety, and engineering teams.
The ideal candidate holds a Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related field with 6+ years of experience in data engineering, data science, ML, and predictive analytics.
As a Senior Data Engineer, Fleet Operations & Analytics, you'll:
- Data Infrastructure & Pipelines
- Design, build, and maintain scalable ETL/ELT pipelines to process vehicle telemetry, service logs, and operations data.
- Build/maintain real-time data pipelines that process fleet telemetry, mission status, and dispatch data.
- Implement monitoring/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 (e.g., 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/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/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/operations engineering teams to address recurring issues/inefficiencies.
Requirements
- Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related field with 6+ years of experience
- Proven experience in data engineering, data science, ML, and predictive analytics
- Databricks: Proficiency with workflows, jobs, and platform capabilities
- Data Visualization: Experience with Looker, Tableau, and PowerBI
- Programming: Strong proficiency in SQL and Python
- Database & Analytics: Advanced SQL skills for complex data manipulation and analysis
- Ability to integrate multiple software platforms and design large-scale data pipelines
- Experience building production-grade data systems with reliability and scalability requirements
- Ability to translate business requirements into technical solutions
- Excellent communication skills to work cross-functionally with both technical and non-technical stakeholders
- Strong problem-solving abilities and attention to detail
Preferred Qualifications
- Master's degree in Engineering with 5+ years of experience
- ML and PySpark experience
Benefits:
- Pre-tax commuter benefits
- Employer (HireArt) subsidized healthcare benefits (eligibility begins 90 days after start date)
- Flexible Spending Account for healthcare-related costs
- HireArt covers all costs for short- and long-term disability and life insurance
- 401k package
Commitment: This is a full-time, ongoing contract position staffed via HireArt. It will be onsite and available to candidates who are local to the Foster City, CA area.
HireArt values diversity and is an Equal Opportunity Employer. We are interested in every qualified candidate who is eligible to work in the United States. Unfortunately, we are not able to sponsor visas or employ corp-to-corp.
Job description
HireArt is helping an on-demand, autonomous ride-hailing company hire a Senior Data Engineer, Fleet Operations & Analytics to build and maintain the data infrastructure that powers the company's autonomous fleet operations.
In this role, you will design scalable pipelines to process vehicle telemetry, create feedback loops that drive product improvements, and enable data-driven decision making across operations, safety, and engineering teams.
The ideal candidate holds a Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related field with 6+ years of experience in data engineering, data science, ML, and predictive analytics.
As a Senior Data Engineer, Fleet Operations & Analytics, you'll:
In this role, you will design scalable pipelines to process vehicle telemetry, create feedback loops that drive product improvements, and enable data-driven decision making across operations, safety, and engineering teams.
The ideal candidate holds a Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related field with 6+ years of experience in data engineering, data science, ML, and predictive analytics.
As a Senior Data Engineer, Fleet Operations & Analytics, you'll:
- Data Infrastructure & Pipelines
- Design, build, and maintain scalable ETL/ELT pipelines to process vehicle telemetry, service logs, and operations data.
- Build/maintain real-time data pipelines that process fleet telemetry, mission status, and dispatch data.
- Implement monitoring/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 (e.g., 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/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/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/operations engineering teams to address recurring issues/inefficiencies.
Requirements
- Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related field with 6+ years of experience
- Proven experience in data engineering, data science, ML, and predictive analytics
- Databricks: Proficiency with workflows, jobs, and platform capabilities
- Data Visualization: Experience with Looker, Tableau, and PowerBI
- Programming: Strong proficiency in SQL and Python
- Database & Analytics: Advanced SQL skills for complex data manipulation and analysis
- Ability to integrate multiple software platforms and design large-scale data pipelines
- Experience building production-grade data systems with reliability and scalability requirements
- Ability to translate business requirements into technical solutions
- Excellent communication skills to work cross-functionally with both technical and non-technical stakeholders
- Strong problem-solving abilities and attention to detail
Preferred Qualifications
- Master's degree in Engineering with 5+ years of experience
- ML and PySpark experience
Benefits:
- Pre-tax commuter benefits
- Employer (HireArt) subsidized healthcare benefits (eligibility begins 90 days after start date)
- Flexible Spending Account for healthcare-related costs
- HireArt covers all costs for short- and long-term disability and life insurance
- 401k package
Commitment: This is a full-time, ongoing contract position staffed via HireArt. It will be onsite and available to candidates who are local to the Foster City, CA area.
HireArt values diversity and is an Equal Opportunity Employer. We are interested in every qualified candidate who is eligible to work in the United States. Unfortunately, we are not able to sponsor visas or employ corp-to-corp.