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Entry Level Civil Engineering Data Science Jobs in Baltimore, MD

Sargent & Lundy

Civil Engineer - Mid-Level

Elkridge, MD · Hybrid

$69K - $99K/yr

You are expected to take engineering problems from issue to solution using data and modern tools ... Science, Artificial Intelligence, Software Engineering, or related fields that helps you apply ...

Sargent & Lundy

Civil Engineer - Mid-Level

Elkridge, MD · On-site

$69K - $99K/yr

You are expected to take engineering problems from issue to solution using data and modern tools ... Science, Artificial Intelligence, Software Engineering, or related fields that helps you apply ...

Sargent & Lundy

Civil Engineer - Mid-Level

Elkridge, MD · Hybrid

$69K - $99K/yr

You are expected to take engineering problems from issue to solution using data and modern tools ... Science, Artificial Intelligence, Software Engineering, or related fields that helps you apply ...

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All JobsCivil Engineering Data Science JobsEntry Level Civil Engineering Data Science JobsEntry Level Civil Engineering Data Science Jobs in Baltimore, MD

Entry Level Civil Engineering Data Science information

See Baltimore, MD salary details

$40.2K

$73.1K

$120.2K

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

As of Aug 6, 2026, the average yearly pay for entry level civil engineering data science in Baltimore, MD is $73,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,700.00 and $87,900.00 per year, depending on experience, location, and employer.

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.

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 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 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.
What are popular job titles related to Entry Level Civil Engineering Data Science jobs in Baltimore, MD? For Entry Level Civil Engineering Data Science jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Entry Level Civil Engineering Data Science jobs in Baltimore, MD look for? The top searched job categories for Entry Level Civil Engineering Data Science jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Entry Level Civil Engineering Data Science jobs? Cities near Baltimore, MD with the most Entry Level Civil Engineering Data Science job openings:
Entry Level Civil Engineering Data Science jobs near you

2026 Graduate - Data Science - System Performance Evaluation

The Johns Hopkins University Applied Physics Laboratory

Laurel, MD • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Description

Do you enjoy manipulating and analyzing data to find data-driven solution to complex problems?

Do you want to contribute to work that is crucial to maintaining our national security and strength?

Are you continuously searching for new ways to improve and build upon your projects?

If you are graduating with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, or Computer Science, we would love to have you join our team! We are seeking a data scientist to leverage their computational and analytical skills supporting multi-disciplinary teams on a variety of technological and methodological innovations to create analysis and assessment approaches for many defense and national security applications. You will be joining our team of hardworking engineers, software developers, data scientists, and analysts committed to advancing the state of the art in performance evaluation of the nation's strategic weapons systems throughout their lifecycle. We believe in continually growing our capabilities, and cultivating a work environment that embraces innovation, integrity, trust, and teamwork.

As a member of our team you will...

  • Work with multi-disciplinary teams to develop data collection, processing, and analysis efforts to assess the performance of a number of systems supporting the Navy and Air Force.
  • Develop Build models and simulations to describe data, predict events, and prescribe a course of action that directly reflect stakeholder's needs across a variety of domains

Qualifications

You meet our minimum qualifications for the job if you...

  • Have a Bachelor's in Data Science, Statistics, Mathematics, Computer Science or related field
  • Have experience with or knowledge of Python and/or R
  • Have classroom or professional experience in developing extract, transfer, load processes for data quality pipelines, data science applications and dashboard tools, and statistical and machine learning methodologies for analysis
  • Are able to obtain Interim Secret level security clearance by your start date and can ultimately obtain Top Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You'll go above and beyond our minimum requirements if you...

  • Have a Master's in Data Science, Statistics, Mathematics, or Computer Science or related field
  • Have classroom or professional experience with statistical analysis methodologies and design of experiments.
  • Classroom or professional experience with SQL and Data Science frameworks (such as Tensorflow, Sci-kit learn, Numpy, PyTorch, Matplotlib, or more)

About Us

Why Work at APL?

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.

At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities athttps://www.jhuapl.edu/careers.

All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law.APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contactAccessibility@jhuapl.edu.

The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.


Minimum Rate
$85,000 Annually
Maximum Rate
$165,000 Annually

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