Transportation Data Engineer: AI, ML & Cloud Analytics

Parsons; United States; On-site; USD 110,000 - 170,000; Full time

Job summary

Parsons is seeking a Transportation Systems Data Engineer to collaborate with engineers, data scientists, and software developers on state-of-the-art transportation solutions.

You will build data pipelines, deploy cloud architectures, develop ML models, and create interactive dashboards to support traffic operations and safety analyses. Strong communication and cross-disciplinary teamwork are essential.

Qualifications

• Bachelor's degree in Engineering or related field required.
• 5+ years of experience with transportation data and analytics.
• Experience building data pipelines in cloud environments.
• Ability to translate technical results to stakeholders.

Responsibilities

• Develop transportation data analytics, ML, and AI solutions.
• Process and analyze large-scale mobility datasets.
• Design and maintain batch and streaming data pipelines.
• Develop cloud-based data architectures and workflows (AWS/GCP/Oracle).
• Train, test, and evaluate ML and CV models for traffic applications.
• Create dashboards with Tableau, Power BI, or R Shiny.
• Integrate data from multiple systems into unified platforms.
• Collaborate with engineers, data scientists, and agencies.

Skills

Data pipelines

Cloud data processing

Dashboard development

Machine learning basics

Team collaboration

Education

Bachelor's Degree in Engineering or related field

Tools

AWS

GCP

Databricks

Tableau

Power BI

S3

Oracle Cloud

Job description

Parsons is seeking a Transportation Systems Data Engineer to collaborate with engineers, data scientists, and software developers on state-of-the-art transportation solutions.

You will build data pipelines, deploy cloud architectures, develop ML models, and create interactive dashboards to support traffic operations and safety analyses. Strong communication and cross-disciplinary teamwork are essential.