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Entry Level Civil Engineering Data Science Jobs in Austin, TX

Data Science Engineer

Austin, TX · On-site

$113K - $136K/yr

FreedomPay is seeking a Data Science Engineer who can creatively solve complex data problems and enhance their product team. The role involves developing machine learning models, collaborating with ...

Data Science Tutor

San Marcos, TX · 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

Austin, TX · 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

Round Rock, TX · 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 ...

... Science in Civil Engineering required • Engineer In Training certification or ability to obtain within six months preferred • Professional Engineer license preferred for senior level positions ...

Data Scientist under general supervision will perform data engineering, data modeling and model deployment. Analyze large scale complex business data (time series data, structured/unstructured) from ...

Showing results 21-40

Entry Level Civil Engineering Data Science information

See Austin, TX salary details

$40.1K

$72.9K

$119.9K

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

As of Aug 21, 2026, the average yearly pay for entry level civil engineering data science in Austin, TX is $72,882.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $87,700.00 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 Austin, TX?

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

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

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

What cities near Austin, TX are hiring for Entry Level Civil Engineering Data Science jobs?

Cities near Austin, TX with the most Entry Level Civil Engineering Data Science job openings:

Infographic showing various Entry Level Civil Engineering Data Science job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $72,882 per year, or $35 per hour.

Nontenure Faculty Pool - Civil Engineering

Texas State University

San Marcos, TX • On-site

$20.25 - $27.50/hr

Temporary

Re-posted 6 days ago


Texas State University rating

6.3

Company rating: 6.3 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

534th of 620 rated colleges and universities


Job description

Posting Information
Posting Information
Position Title
Nontenure Faculty Pool - Civil Engineering
Job Posting Number
2027025NTL
Job Location
San Marcos
College/Division
College of Science and Engineering
Department/School
Ingram School of Engineering
Position Description
The Ingram School of Engineering seeks to develop a pool of candidates for possible temporary/nontenured faculty positions to teach in the Civil Engineering Program. For information about the Civil Engineering program please visit https://www.engineering.txst.edu/programs/civil.html.
Temporary/nontenured faculty are appointed to teach one to four courses per semester. Teaching appointments are based upon student demand on a semester-by-semester basis. Eligibility for annual reappointment is contingent upon satisfactory annual performance evaluations during the term period, in addition to continuity of funding and school need. Successful candidates will teach at the San Marcos campus.
This posting is for the fall 2026, spring 2027, and summer 2027 semesters. Please note that this posting is not intended to convey that such a need currently exists. Applicants applying for this pool faculty position will be available to the Civil Engineering Program search committee for consideration in case the need arises.
Required Qualifications
  • A minimum of a master's degree in Civil Engineering or a closely related engineering field.
  • Strong academic background in structural engineering
  • Excellent written and oral communication skills.

Preferred Qualifications
  • A Ph.D. in Civil Engineering or a closely related engineering field.
  • Previous experience teaching undergraduate/graduate engineering courses as the instructor of record.
  • Expertise with Technology-Enhanced Infrastructure.
  • Industry and/or government experience.

Application Procedures
The Civil Engineering program within the Ingram School of Engineering will accept applications from qualified applicants on a continual basis. Only applications submitted through the Texas State University website will be accepted and considered,https://jobs.hr.txstate.edu/postings/57820.
Interested individuals should submit a:
  • Current CV.
  • Letter of interest outlining specific academic and professional experiences relevant for appointment.
  • Unofficial transcripts (all in one document).
  • Statement of teaching interests and teaching philosophy.

As part of our application process, we are also requesting contact information for three (3) academic references who can provide information about the applicant's skills and experiences. Please provide the names and email addresses for your academic references in the Reference Letter section of the employment application.
Candidates selected for hire will be required to provide official transcripts from all degree granting universities
Type of Position
Temporary Full-Time or Part-Time
Proposed Start Date
Posting Date
07/16/2026
Review Date
05/31/2027
Close Date
05/31/2027
Open Until Filled?
No
Legal Notices
Texas State University is committed to a policy of non-discrimination and equal opportunity for all persons regardless of race, sex, color, religion, national origin or ancestry, age, marital status, disability, veteran status, or any other basis protected by federal or state law in employment, educational programs, and activities and admissions.
Employment with Texas State University is contingent upon the outcome of record checks and verifications including, but not limited to, criminal history, driving records, education records, employment verifications, reference checks, drug screening (if applicable), and employment eligibility verifications.
Certain positions, including those with clinical responsibilities, require compliance with health, immunization, and other requirements mandated by affiliated clinical agencies. Employment and continued assignment in such roles are contingent upon meeting and maintaining these requirements.
This position may conduct research on critical infrastructure depending on the research focus of a hire. Consistent with the requirements of the State of Texas, individuals conducting research on critical infrastructure will be subject to pre-employment, and then subsequent routine background checks/cybersecurity screenings. Employment will at all times be contingent upon the successful completion of these screenings in accordance with State and University requirements.
Reasonable Accommodation
If you experience accessibility issues or require alternative formatting during the application process due to a disability or underlying condition, we request that you contact Talent Acquisition for assistance. A representative from Talent Acquisition will respond to you as soon as possible.
Record Checks and Verifications
Employment with Texas State University is contingent upon the outcome of record checks and verifications including, but not limited to, criminal history, driving records, education records, employment verifications, reference checks, and employment eligibility verifications.
Eligibility for Employment
In accordance with federal law, all new employees must complete the Form I-9 and provide acceptable documentation verifying their identity and authorization to work in the United States. Texas State University participates in E-Verify, and employment is contingent upon the successful verification of work authorization. Employees are required to maintain valid work authorization to satisfy the conditions of Form I9 at all times during their employment and the university makes no implicit or explicit promises to financially support visa or permanent residency applications.
Why Work at Texas State?
Texas State University is a large, student-centered public research institution serving more than 40,000 students across undergraduate, graduate, and doctoral programs in San Marcos and Round Rock. Classified as a Carnegie Doctoral University with High Research Activity (R2), TXST is actively advancing its ambitious Run to R1 strategy, demonstrating sustained growth in research activity, doctoral education, and scholarly impact.
Faculty at TXST join a vibrant academic community of over 5,000 faculty and staff committed to excellence in teaching, research, and service. The university offers a collaborative, supportive environment, and interdisciplinary scholarship. Outstanding faculty are drawn to TXST for the opportunity to make a meaningful impact-advancing research, mentoring a growing student body, and helping shape the future of a rapidly growing research university.
Quick Link
https://jobs.hr.txstate.edu/postings/57820
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