Transportation Systems Data Engineer
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Key details
- Location
- United States
- Work style
- Remote
- Level
- Senior
- Job type
- Full-time
- Experience
- 5–8 yrs
- Function
- Data & ML
- Focus area
- Data engineering & Analytics
- Posted
- 2d ago
Skills
About the role
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Transportation Systems Data Engineer based in the United States.
Overview
Join an innovative engineering team developing advanced, data-driven solutions to improve transportation systems, road safety, and mobility. As a Transportation Systems Data Engineer, you will collaborate with transportation engineers, data scientists, software developers, and systems specialists to transform complex mobility data into actionable insights. You will design scalable data pipelines, build cloud-based analytics solutions, and apply machine learning and artificial intelligence to real-world transportation challenges. Your work will support traffic operations, incident management, safety monitoring, and intelligent transportation systems. This role offers the opportunity to work with large-scale datasets, emerging technologies, and multidisciplinary teams on projects that enhance infrastructure performance and community safety. If you enjoy solving complex technical problems and translating data into meaningful outcomes, this position offers an exciting opportunity to make a measurable impact.
Accountabilities
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Transportation Data Engineering and Analytics: Process, analyze, and integrate large-scale transportation datasets, including connected vehicle, telematics, traffic sensor, weather, crash, work zone, camera, and vehicle trajectory data. Develop analytical solutions that support traffic operations, transportation safety, incident management, and system performance monitoring.
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Data Pipeline Development: Design, build, test, and maintain reliable batch and streaming data pipelines that support analytics, machine learning, visualization, and operational applications. Integrate information from multiple sources into unified transportation data platforms.
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Cloud Architecture and Data Processing: Develop scalable cloud-based data architectures and workflows using platforms such as AWS, Google Cloud Platform (GCP), Oracle Cloud, Databricks, and Amazon S3. Optimize data processing, storage, and integration workflows to support large and complex analytical workloads.
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Machine Learning and Artificial Intelligence: Develop, train, test, and evaluate machine learning, computer vision, and AI models for transportation applications, including lane closure detection, traffic-scene analysis, safety monitoring, and automated video analytics. Explore emerging techniques such as object detection, large language models, and vision-language models.
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Data Visualization and Decision Support: Create interactive dashboards, visualizations, and analytical applications using tools such as Tableau, Power BI, R Shiny, or similar technologies. Translate complex analytical findings into clear insights, technical reports, and recommendations for transportation agencies and system operators.
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Cross-Functional Collaboration: Work closely with transportation engineers, data scientists, software developers, researchers, agency stakeholders, and technology specialists throughout solution design, development, testing, and implementation. Ensure that technical solutions address operational requirements and real-world transportation challenges.
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Research and Technical Documentation: Contribute to technical reports, research papers, presentations, project proposals, and supporting documentation. Communicate methodologies, analytical results, and project outcomes to technical and nontechnical audiences.
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Agile Development and Continuous Improvement: Participate in Agile and Scrum workflows, including requirements definition, sprint planning, peer reviews, testing, and technical demonstrations. Apply collaborative software development practices and continuously improve analytical tools, data workflows, and solution quality.
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Education and Experience: Bachelor's degree in Engineering or a related field, along with at least five years of relevant professional experience.
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Transportation Data Expertise: Experience
Requirements
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