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Entry Level Civil Engineering Data Science Jobs in Austin, TX

Staff Civil Engineer - Dams

Austin, TX · On-site

$57K - $86K/yr

... and scientists while under the supervision of senior engineering personnel. * Assist in the ... Collect data and measurements in the field. Required Skills/Experience: * 0-3 years of professional ...

Our uniqueness lies in bringing together strong engineering, data science, and design capabilities coupled with deep domain understanding. We combine services and products to maximize business impact ...

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or related field * 1-3 years of experience in data engineering, data analysis, business intelligence, or related ...

This role offers exposure to a wide range of civil projects, from site development to ... engineering, and turning data into impact, we want to meet you! Join us in shaping the next ...

This role offers exposure to a wide range of civil projects, from site development to ... engineering, and turning data into impact, we want to meet you! Join us in shaping the next ...

This role offers exposure to a wide range of civil projects, from site development to ... engineering, and turning data into impact, we want to meet you! Join us in shaping the next ...

... and scientists while under the supervision of senior engineering personnel. * Assist in the ... Collect data and measurements in the field. Required Skills/Experience: * 0-3 years of professional ...

Showing results 41-60

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.

$57K - $86K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 9 days ago


Job description

Schnabel is an employee-owned, professional engineering and consulting firm that focuses on solving problems related to the earth and environment through specialization in geotechnical, geostructural, tunnel, and dam engineering. Schnabel’s high standards for quality, business ethics, and concern for the communities in which we live are a vital part of who we are. Schnabel is an ENR Top 500 Design Firm with 700+ employees in 31 offices throughout the United States. 

Recognized by CE News as one of the Best Engineering Firms to Work for, Schnabel provides employees with a competitive benefits package including maternity leave, tuition reimbursement for continuing education, health, dental, life and disability insurance and a wellness program. As an employee-owned company, through the Employee Stock Ownership Plan, Schnabel employees directly benefit from the success of our growing firm. 

Benefit options include: 

  • Medical insurance
  • Dental insurance
  • Flexible spending accounts
  • Employee life & ADD insurance (100% company-paid)
  • Short-term disability (100% company-paid)
  • Long-term disability
  • Supplemental life insurance
  • 401(k) and profit-sharing plan
  • Employee stock ownership plan (ESOP)
  • Bonus program
  • Paid time off
  • 9 Paid Holidays
  • Wellness program
  • Professional development and tuition reimbursement

Job Description: 

Are you looking for interesting and meaningful work, a fun and flexible atmosphere, and opportunities to learn, grow, and excel? If so, then welcome to Schnabel! We approach problems with creativity and innovation. The Austin, TX office of Schnabel Engineering is seeking a Staff Engineer to join our growing practice. We are looking for a motivated candidate with an interest in developing both field and analytical skills, a passion to continue to develop as a professional, and a desire to be part of a strong team.

Job Responsibilities: 

  • Apply professional principles, complex numerical models, and innovative solutions to real-world problems as part of a team of engineers and scientists while under the supervision of senior engineering personnel. 
  • Assist in the preparation of CAD drawings for contract documents and reports with input and guidance from senior engineers in accordance with internal drafting procedures and guidelines. 
  • Prepare complete plans and specifications to be part of construction documents. 
  • Develop engineering recommendations and write technical reports. 
  • Perform design calculations for hydraulic structures including spillways, dam outlet works, diversion and check structures, measurement flumes, and other various raw water infrastructure. 
  • Perform inspections of dams and hydraulic structures.
  • Collect data and measurements in the field. 

Required Skills/Experience: 

  • 0-3 years of professional experience  
  • Bachelor's Degree in Civil Engineering or related field 
  • Proficiency with AutoCAD Civil3D 
  • Excellent oral and written communication skills  
  • Positive attitude  
  • Ability to multi-task  
  • Strong work ethic and a desire for continual self-improvement  
  • Willingness and ability to perform field work and travel, including assignments that may last several months away from the office 

Preferred Skills/Experience: 

  • Prior internship or professional work in a related field (i.e. geotechnical engineering, construction, civil engineering, etc.) 
  • Master’s degree 
  • EIT certification 

Other Requirements: 

  • Must possess a valid driver’s license as driving is an essential function of the job 
  • Ability to pass a background check which may include criminal history, motor vehicle record and credit check
  • Ability to pass a pre-employment drug screening 

The compensation range for this position is between $57,200 to $86,000. Compensation for this position may vary based on geographic location and other factors. We remain committed to providing competitive and equitable compensation to all employees, regardless of their location.Â