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Remote Data Science Civil Engineering Jobs in Washington, DC

Associate Director of Data Science

Columbia, MD · On-site +1

$58K - $59K/yr

Lead the delivery of AI and data science projects, managing a team of 4-5 developers and data ... Domain knowledge in civil engineering, manufacturing, structural engineering, or mechanical ...

Civil Engineering Tutor

Laurel, MD · Remote

$18 - $40/hr

Adapts instruction using structural analysis software, geotechnical data interpretation, and design ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Civil Engineering Tutor

Leesburg, VA · Remote

$18 - $40/hr

Adapts instruction using structural analysis software, geotechnical data interpretation, and design ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Civil Engineering Lead

Washington, DC · Remote

$115K - $152K/yr

Provide expertise (Civil Engineering, Cybersecurity) on data management, strategic priorities, and ... We also place the utmost importance on team building and collaboration in a remote environment. To ...

Civil Engineering Tutor

Bowie, MD · Remote

$18 - $40/hr

Adapts instruction using structural analysis software, geotechnical data interpretation, and design ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Civil Engineering Lead

Washington, DC · Remote

$116K - $152K/yr

Provide expertise (Civil Engineering, Cybersecurity) on data management, strategic priorities, and ... We also place the utmost importance on team building and collaboration in a remote environment. To ...

What We Look For In a FE - Civil Engineering Tutor * Advanced Test Mastery: Deep knowledge of FE ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

What We Look For In a FE - Civil Engineering Tutor * Advanced Test Mastery: Deep knowledge of FE ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

What We Look For In a FE - Civil Engineering Tutor * Advanced Test Mastery: Deep knowledge of FE ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Collaborate with engineering, product, UX, and business leaders to prioritize ideas, launch MVPs, iterate rapidly, and deliver measurable business value. * Lead a team of data scientists, driving ...

Data Science Tutor

Bowie, MD · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Data Science Tutor

Leesburg, VA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

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Showing results 1-20

Remote Data Science Civil Engineering information

See Washington, DC salary details

$50.4K

$146.9K

$201K

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

As of Jul 30, 2026, the average yearly pay for remote data science civil engineering in Washington, DC is $146,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,700.00 and $155,700.00 per year, depending on experience, location, and employer.

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

Remote data science roles in civil engineering are uncommon, and salaries reaching $500,000 are rare in the field. High earnings typically require extensive experience, specialized skills, management positions, or working in high-cost regions. Most civil engineers earn significantly less, with top salaries often exceeding $100,000 annually.

What is a remote data science civil engineering job?

A remote data science civil engineering job combines the principles of civil engineering with data science techniques, allowing professionals to analyze, model, and interpret complex engineering data from a remote location. These roles typically involve tasks such as data analysis, predictive modeling, simulation, and optimization to improve infrastructure design, construction, and maintenance. Professionals in this field use programming languages, statistical methods, and engineering software to solve real-world civil engineering problems, all while working outside of a traditional office environment.

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

AspectRemote Data Science Civil EngineeringRemote Structural Engineering
Required CredentialsBachelor's or Master's in Data Science, Civil Engineering, or related fields; certifications in data analysis or civil engineeringBachelor's or Master's in Civil or Structural Engineering; PE license may be preferred
Work EnvironmentData analysis, modeling, and reporting using software like Python, R, or SQL; collaboration via online toolsDesign, analysis, and review of structural projects; remote collaboration with teams and clients
Employer & Industry UsageTech firms, consulting agencies, government agenciesConstruction firms, engineering consultancies, government agencies

Remote Data Science Civil Engineering focuses on data analysis and modeling within civil engineering projects, while Remote Structural Engineering emphasizes designing and analyzing structural components remotely. Both roles require engineering credentials but differ in daily tasks and software tools used.

How does a remote data science role in civil engineering typically interact with on-site engineering teams to ensure project alignment?

In a remote data science position within civil engineering, frequent collaboration with on-site engineering teams is essential to ensure data-driven insights align with practical project requirements. This is commonly achieved through regular video meetings, shared project management tools, and clear documentation of data methodologies and results. Remote data scientists often participate in cross-functional team discussions to translate complex analyses into actionable recommendations, bridging the gap between data insights and field implementation. Effective communication and proactive engagement are key to overcoming challenges posed by physical distance.

Can a civil engineer become a data scientist?

A civil engineer can become a data scientist by acquiring skills in programming, statistics, and machine learning, often through online courses or advanced degrees. Their background in engineering and data analysis can provide a strong foundation for transitioning into data science roles, especially with experience in data management tools like Python, R, and SQL.

What are the key skills and qualifications needed to thrive as a Remote Data Science Civil Engineer, and why are they important?

To thrive as a Remote Data Science Civil Engineer, you need a solid background in civil engineering principles, data analysis, and proficiency with programming languages like Python or R, often supported by an engineering degree and relevant certifications. Familiarity with software such as AutoCAD, GIS tools, data visualization platforms, and cloud-based collaboration systems is typically required. Strong problem-solving, communication, and self-motivation skills help you collaborate effectively across virtual teams and translate data insights into practical engineering solutions. These capabilities are essential for leveraging data to drive innovation and efficiency in civil engineering projects while working remotely.

Can data science jobs be done remotely?

Data science jobs, including roles related to civil engineering, are often performed remotely, especially when tasks involve data analysis, modeling, and programming that can be done with a computer and internet connection. Many companies offer remote positions for data scientists, requiring skills in tools like Python, R, and cloud platforms, and may involve collaboration through virtual communication platforms.

What engineers make $500,000?

Senior civil engineers with extensive experience, specialized skills, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in consulting or managerial positions. Data scientists and certain software engineers in high-demand industries may also reach this level with bonuses and stock options. Compensation varies based on location, industry, and individual expertise.
What are the most commonly searched types of Data Science Civil Engineering jobs in Washington, DC? The most popular types of Data Science Civil Engineering jobs in Washington, DC are:
Infographic showing various Remote Data Science Civil Engineering job openings in Washington, DC as of July 2026, with employment types broken down into 82% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $146,916 per year, or $70.6 per hour.

Associate Director of Data Science

Blend360

Columbia, MD • On-site, Remote

$58K - $59K/yr

Full-time

Re-posted 8 days ago


Job description

Company Description
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com
Job Description
We are seeking a highly skilled and experienced Data Scientust to join our team. In this pivotal role, you will lead our data science initiatives, driving innovation and delivering data-driven insights to support strategic decision-making across the organization.
  • Lead the delivery of AI and data science projects, managing a team of 4-5 developers and data scientists.
  • Design and implement AI solutions leveraging advanced techniques, including prompt engineering, agentic architectures, RAG, computer vision, predictive modeling, deep learning, and optimization.
  • Collaborate with stakeholders to translate business requirements into scalable data science solutions.
  • Ensure high-quality project execution, including architecture design, solution validation, deployment, and CI/CD management.
  • Mentor and guide team members, fostering growth and knowledge sharing.
  • Communicate complex technical concepts effectively to both technical and non-technical stakeholders.
  • Maintain oversight of project timelines, resource allocation, and risk management.

Qualifications
  • 8-10 years of professional experience in Data Science, including 2-3 years in a Delivery Lead or Team Lead capacity.
  • Strong expertise in AI, including prompt engineering, agentic architectures, RAG, and computer vision.
  • Proven experience in predictive modeling, deep learning, optimization, algorithm design, and solution architecture.
  • Hands-on programming experience with Python and SQL.
  • Demonstrated leadership and team management skills.
  • Excellent problem-solving, project delivery, and business communication abilities.

Preferred Qualifications:
  • Domain knowledge in civil engineering, manufacturing, structural engineering, or mechanical/industrial engineering.
  • Project management experience and familiarity with Azure cloud infrastructure.
  • Experience with software deployment, quality assurance, CI/CD pipelines, and release cycle management.

Why Join Us:
  • Opportunity to lead cutting-edge AI projects across diverse industries.
  • Work with a collaborative, high-performing team of data scientists and engineers.
  • Influence the strategic direction of AI initiatives within the organization.

Additional Information