Transportation Data Engineer: ML & Analytics in Cloud

Parsons; Virginia; On-site; USD 75,000 - 131,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Paid time off

Employee Stock Ownership Plan (ESOP)

401(k)

Life insurance

Flexible work schedules

Holidays

Job summary

Parsons is seeking a Transportation Systems Data Engineer in the United States to join our team and collaborate with transportation engineers, data scientists, systems engineers, and software developers on state-of-the-art transportation analytics and ML solutions.

You will design data pipelines on AWS/GCP/Oracle Cloud, develop dashboards in Tableau/Power BI, and translate complex analyses into clear reports for agencies and operators.

Qualifications

• Bachelor's Degree in Engineering (or related field) and 5+ years of related work experience.
• Experience analyzing transportation, connected vehicle, traffic operations, safety, telematics, or other large-scale mobility datasets.
• Experience developing data pipelines and working with cloud-based data processing and storage platforms.
• Experience developing dashboards, data visualizations, or analytical applications that communicate technical results to end users.
• Demonstrated participation and leadership in transportation research, technical organizations, professional associations, or industry conferences.

Responsibilities

• Develop transportation data analytics, machine learning, and artificial intelligence solutions that support traffic operations, safety analysis, incident management, and transportation system performance.
• Process and analyze large-scale transportation datasets, including connected vehicle, telematics, traffic sensor, weather, crash, work zone, camera, and vehicle trajectory data.
• Design, develop, and maintain batch and streaming data pipelines that support transportation analytics, machine learning, visualization, and operational applications.
• Develop cloud-based data architectures and workflows using platforms and services such as AWS, GCP, Oracle Cloud, Databricks, and S3.
• Develop, train, test, and evaluate machine learning and computer vision models for applications such as lane closure detection, traffic-scene analysis, safety monitoring, and automated video analytics.
• Create interactive dashboards and decision-support tools using Tableau, Power BI, R Shiny, or similar visualization platforms.
• Integrate transportation data from multiple systems and sources into unified analytics and traffic operations platforms.
• Develop and evaluate models using Python, SQL, R, and related data science and big-data technologies.
• Translate transportation data and analytical results into clear technical findings, visualizations, reports, and recommendations for transportation agencies and system operators.
• Collaborate with transportation engineers, software developers, researchers, agency stakeholders, and technology specialists throughout solution design, development, testing, and implementation.
• Support the preparation of technical reports, research papers, presentations, proposals, and project documentation.
• Participate in Agile and Scrum development processes, including requirements definition, sprint planning, peer reviews, testing, and technical demonstrations.

Skills

Python

SQL

R

Tableau

Power BI

AWS

Databricks

Machine Learning

Computer Vision

Education

Bachelor's Degree in Engineering

Tools

S3

Glue

Athena

GCP

Oracle Cloud

Job description

Parsons is seeking a Transportation Systems Data Engineer in the United States to join our team and collaborate with transportation engineers, data scientists, systems engineers, and software developers on state-of-the-art transportation analytics and ML solutions.

You will design data pipelines on AWS/GCP/Oracle Cloud, develop dashboards in Tableau/Power BI, and translate complex analyses into clear reports for agencies and operators.