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Afternoon Data Science Civil Engineering Jobs (NOW HIRING)

Civil Science

Civil Engineer - Project Manager (PE)

Lehi, UT · On-site

$79K - $106K/yr

About Civil Science Civil Science isn't just another engineering firm-we're a 100% employee-owned company with over 40 years of expertise and a bold vision for the future. Our team of talented ...

Mercor

Data Science Expert - Fully Remote

New York, NY · Remote

$70 - $100/hr

... Civil Engineering , Physics , Chemistry , Mathematics , Materials Science , or other STEM background. * Demonstrated technical expertise in programming, data analysis, ML modeling , statistical ...

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

As of Jun 11, 2026, the average yearly pay for afternoon data science civil engineering in the United States is $147,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $196,000.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior civil engineers, especially those in specialized roles such as infrastructure project managers or consulting engineers with extensive experience, can earn $500,000 or more annually. High salaries are often associated with leadership positions, advanced certifications, or work in high-demand sectors like transportation or large-scale construction projects.

Can you make $500,000 as a civil engineer?

Civil engineers typically earn salaries below $500,000 annually, with high earners in specialized roles, management, or consulting positions sometimes reaching six-figure incomes. Achieving a $500,000 salary usually requires extensive experience, advanced certifications, or leadership in large projects, often beyond standard civil engineering roles.

What is the difference between Afternoon Data Science Civil Engineering vs Afternoon Data Science Structural Engineering?

AspectAfternoon Data Science Civil EngineeringAfternoon Data Science Structural Engineering
CredentialsDegree in Civil Engineering, Data Science certificationsDegree in Structural Engineering, Data Science certifications
Work EnvironmentConstruction sites, urban planning projectsDesign firms, building analysis environments
Industry UsageInfrastructure, transportation, urban developmentBuilding design, safety analysis, material testing

Both roles involve applying data science to engineering projects, but Civil Engineering focuses on infrastructure and urban projects, while Structural Engineering emphasizes building stability and safety. The required credentials and work environments overlap significantly, making them closely related but distinct specialties within engineering data science.

Can a civil engineer do data science?

A civil engineer can do data science by applying skills in data analysis, programming, and statistical modeling to infrastructure projects and engineering problems. Gaining knowledge of tools like Python, R, and data visualization software enhances their ability to analyze large datasets and improve decision-making in civil engineering contexts.

Is 30 too late for data science?

For a data science civil engineering role, starting a career at age 30 is not too late, as many professionals transition into data science later in life. Success depends on acquiring relevant skills such as programming, statistics, and domain knowledge, which can be developed through online courses, certifications, and practical experience. Age is less important than skills, continuous learning, and relevant project work in this field.
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