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Bridge Engineer Jobs in Remote, OR (NOW HIRING)

The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency ... Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing.

Solutions Integration Architect

OR · On-site

$66.25 - $85.50/hr

Successful candidates will be able to bridge the gap between business and technology, manage client ... S. in Computer Science or Engineering (Power Systems preferred) At least 7 years integration ...

Understand customer journey and help bridge gaps through Sapiens products * Cross sell Sapiens ... Bachelor's degree, ideally in technology, engineering, marketing or business-related field; related ...

Reporting & Analytics Lead

OR · On-site +1

$140K - $155K/yr

In this role, you'll lead a talented team of report developers and analysts, partner with leaders ... Excellent communication skills - you can bridge technical and business conversations with ease and ...

In this role, you'll lead a talented team of report developers and analysts, partner with leaders ... Excellent communication skills - you can bridge technical and business conversations with ease and ...

Understand customer journey and help bridge gaps through Sapiens products * Cross sell Sapiens ... Bachelor's degree, ideally in technology, engineering, marketing or business-related field; related ...

In this highly collaborative role, you will be the bridge between the R&D Knowledge & Learning ... Partner with internal and external content developers and trainers to curate and deliver high ...

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Bridge Engineer information

See Remote, OR salary details

$40.5K

$103.5K

$133.4K

How much do bridge engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for bridge engineer in Remote, OR is $103,511.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,400.00 and $117,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Bridge Engineer, and why are they important?

To thrive as a Bridge Engineer, you need strong knowledge of structural engineering principles, bridge design standards, and a degree in civil or structural engineering, often accompanied by a Professional Engineer (PE) license. Proficiency in design software such as AutoCAD, SAP2000, and MicroStation, along with familiarity with relevant codes like AASHTO, is typically required. Excellent problem-solving, teamwork, and communication skills distinguish top performers in this role. These skills are crucial for ensuring safe, efficient, and cost-effective bridge projects that meet regulatory and client requirements.

What Do Bridge Engineers Do?

A bridge engineer is a specialized civil engineer who oversees the planning and construction of bridges and adjoining roadways. As a bridge engineer, your responsibilities include assessing the site, materials, timeline, and budget for the project. You see the construction through from planning to completion. You also work with scientists, construction teams, and government officials to make sure it complies with all building codes and regulations. Your job is to ensure the bridge is built as planned and finished on time and budget.

What are bridge engineers?

Bridge engineers are civil engineering professionals who specialize in the design, analysis, construction, and maintenance of bridges and related structures. They ensure that bridges are safe, durable, and able to handle expected loads and environmental conditions. Bridge engineers work with a variety of materials such as steel, concrete, and composites, and use advanced software for modeling and design. Their work is essential for creating reliable transportation infrastructure and often involves collaboration with architects, contractors, and government agencies.

What are some common challenges faced by Bridge Engineers during the design and construction phases, and how can they be addressed?

Bridge Engineers often encounter challenges such as site constraints, unexpected ground conditions, and coordination with multiple stakeholders during the design and construction phases. Managing these challenges requires strong problem-solving skills, effective communication with contractors and other engineers, and adaptability to changing project requirements. Staying updated on the latest industry standards and leveraging advanced design software can also help Bridge Engineers anticipate potential issues and deliver safe, efficient solutions. Proactive collaboration and regular site visits are key to ensuring that project milestones are met and quality is maintained throughout construction.

What is the difference between Bridge Engineer vs Civil Engineer?

AspectBridge EngineerCivil Engineer
Required CredentialsBachelor's in Civil Engineering, PE license often preferredBachelor's in Civil Engineering, PE license often required
Work EnvironmentDesigning, analyzing, and overseeing bridge projectsBroader infrastructure projects including roads, dams, and bridges
Industry UsageSpecialized in bridge structures within transportation and infrastructure sectorsGeneralist role across various civil infrastructure projects

Bridge Engineers focus specifically on designing and analyzing bridges, requiring specialized knowledge. Civil Engineers have a broader scope, working on various infrastructure projects, including bridges. Both roles often require similar credentials, but Bridge Engineers specialize in bridge-specific work, while Civil Engineers handle a wider range of civil projects.

Data Scientist

SOSi

Myrtle Point, OR • On-site

Full-time

Posted 20 days ago


Job description

Company Description

Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.

Job Description

SOSi is seeking a Data Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.

Essential Job Duties:

  • The contractor shall develop and refine predictive models, conduct exploratory data analysis, and generate AI-driven insights to enhance intelligence and operational planning.
  • The contractor shall integrate customer feedback into model iteration cycles, leveraging Agile development methodologies to maintain responsiveness to mission requirements.
  • The contractor shall submit the Predictive Model Performance Report, documenting key findings, model accuracy metrics, and operational impact assessments.
  • The contractor shall implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements.
  • The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure requirements.
  • The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report.
Qualifications
  • Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field, or;
    • seven (7) years of equivalent experience in machine learning and predictive modeling. 
  • Proposed personnel possess the knowledge and capability to develop and refine predictive models, analyze large-scale datasets, and document analytic processes.
  • Proficient in data mining, statistical modeling, and AI-driven forecasting techniques, with experience in working with structured and unstructured data sources.
  • Knowledge of data visualization, feature selection, and geospatial analytics is required.
  • Personnel must be capable of integrating data from multiple sources, ensuring model accuracy, and working within an Agile sprint cycle to deliver iterative improvements.
  • Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.
  • Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing models into operational workflows.

Preferred Qualifications:

  • Desirable but not required certifications include AWS Certified Data Analytics – Specialty, Microsoft Certified: Azure AI Fundamentals, or Certified Data Scientist (CDS).

Additional Information

Work Environment

  • Full remote flexibility.

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.