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Entry Level Civil Engineering Data Science Jobs in Bellingham, WA

FTI Consulting

2027 Intern - Technology

Bellingham, WA · On-site

$15.50 - $20.75/hr

The internship program at FTI Consulting serves as a key pathway to entry-level consultant ... Business, Computer Forensics, Cybersecurity, Data Analytics, Data Science, Digital Forensics ...

FTI Consulting

2027 Intern - Technology

Bellingham, WA

$15.50 - $20.75/hr

The internship program at FTI Consulting serves as a key pathway to entry-level consultant ... Business, Computer Forensics, Cybersecurity, Data Analytics, Data Science, Digital Forensics ...

Eichleay Engineers Inc

Mechanical Engineer

Ferndale, WA · On-site

$103 - $125/hr

Prepare mechanical equipment descriptions, perform equipment sizing and prepare equipment data ... Bachelor of Science and/or Master's in Mechanical engineering. * Experience: Minimum of 5+ years ...

Eichleay, Inc

Mechanical Engineer

Ferndale, WA · Hybrid

$103K - $125K/yr

Prepare mechanical equipment descriptions, perform equipment sizing and prepare equipment data ... Bachelor of Science and/or Master's in Mechanical engineering. * Experience: Minimum of 5+ years ...

Eichleay, Inc.

Mechanical Engineer

Ferndale, WA · On-site

$103K - $125K/yr

Prepare mechanical equipment descriptions, perform equipment sizing and prepare equipment data ... Bachelor of Science and/or Master's in Mechanical engineering. * Experience: Minimum of 5+ years ...

Anchor QEA

Jr. Restoration Engineer

Bellingham, WA · On-site

$65K - $73K/yr

Participating in the collection of field data; completing complex analyses and calculations with ... Who Are We? Anchor QEA provides environmental planning, science, and engineering consulting ...

Anchor Qea

Jr. Restoration Engineer

Bellingham, WA

$65K - $73K/yr

Participating in the collection of field data; completing complex analyses and calculations with ... Who Are We? Anchor QEA provides environmental planning, science, and engineering consulting ...

Anchor QEA

Jr. Restoration Engineer

Bellingham, WA · On-site

$65K - $73K/yr

Participating in the collection of field data; completing complex analyses and calculations with ... Who Are We? Anchor QEA provides environmental planning, science, and engineering consulting ...

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Showing results 21-40

All JobsCivil Engineering Data Science JobsEntry Level Civil Engineering Data Science JobsEntry Level Civil Engineering Data Science Jobs in Bellingham, WA

Entry Level Civil Engineering Data Science information

See Bellingham, WA salary details

$42.1K

$76.4K

$125.8K

How much do entry level civil engineering data science jobs pay per year?

As of Sep 6, 2026, the average yearly pay for entry level civil engineering data science in Bellingham, WA is $76,425.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,000.00 and $92,000.00 per year, depending on experience, location, and employer.

What is an entry level civil engineering data science?

An entry level civil engineering data science job involves using data analysis and computational tools to solve problems related to civil engineering, such as infrastructure design, construction, and maintenance. Professionals in this role work with large datasets from sensors, surveys, and simulations to help inform decisions about projects like roads, bridges, and buildings. They often use programming languages like Python or R and work with statistical methods, machine learning, and data visualization. This role is ideal for recent graduates with skills in both civil engineering fundamentals and data science techniques.

How do entry level civil engineering data scientists typically collaborate with engineering teams on infrastructure projects?

Entry-level civil engineering data scientists often work closely with multidisciplinary engineering teams to collect, analyze, and interpret large datasets related to infrastructure projects. They support decision-making by creating predictive models, visualizations, and reports that inform project design, construction, and maintenance. Collaboration usually involves regular meetings, sharing insights with engineers and project managers, and ensuring that data-driven recommendations align with technical and regulatory requirements. This partnership helps bridge the gap between data science and practical engineering solutions.

What are the key skills and qualifications needed to thrive as an entry level civil engineering data scientist, and why are they important?

To thrive as an Entry Level Civil Engineering Data Scientist, you need a solid grasp of civil engineering fundamentals, statistics, and data analysis, typically supported by a relevant engineering or data science degree. Familiarity with technical tools such as Python, MATLAB, AutoCAD, and data visualization platforms, as well as experience with databases and possibly certifications in data analytics, are highly beneficial. Strong problem-solving abilities, attention to detail, and communication skills make candidates stand out in this multidisciplinary role. These skills are crucial for accurately interpreting engineering data, supporting infrastructure decision-making, and effectively conveying insights to technical and non-technical stakeholders.

What is the difference between Entry Level Civil Engineering Data Science vs Entry Level Civil Engineering?

AspectEntry Level Civil Engineering Data ScienceEntry Level Civil Engineering
Required CredentialsBachelor's in Civil Engineering, Data Science, or related field; knowledge of programming and data analysisBachelor's in Civil Engineering or related field; engineering fundamentals
Work EnvironmentDesign firms, consulting agencies, government agencies with data analysis focusConstruction sites, design offices, infrastructure projects
Employer & Industry UsageUtilized in infrastructure planning, data-driven decision making, modelingDesign, construction, and maintenance of civil infrastructure

Entry Level Civil Engineering Data Science combines civil engineering fundamentals with data analysis skills, focusing on data-driven project optimization. In contrast, Entry Level Civil Engineering emphasizes traditional engineering design and construction. Both roles require a bachelor's degree, but the data science role demands additional programming and analytical skills, often working in environments that leverage data for infrastructure planning and management.

What are popular job titles related to Entry Level Civil Engineering Data Science jobs in Bellingham, WA?

For Entry Level Civil Engineering Data Science jobs in Bellingham, WA, the most frequently searched job titles are:

What job categories do people searching Entry Level Civil Engineering Data Science jobs in Bellingham, WA look for?

The top searched job categories for Entry Level Civil Engineering Data Science jobs in Bellingham, WA are:

What cities near Bellingham, WA are hiring for Entry Level Civil Engineering Data Science jobs?

Cities near Bellingham, WA with the most Entry Level Civil Engineering Data Science job openings:

Entry Level Civil Engineering Data Science jobs near you
Infographic showing various Entry Level Civil Engineering Data Science job openings in Bellingham, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $76,425 per year, or $36.7 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Bellingham, WA • On-site

Other

Re-posted 17 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply