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Entry Level Civil Engineering Data Science Jobs in Santa Maria, CA

Our scientists, engineers, field teams and consultants apply systems thinking that unites science, data and practical expertise to deliver solutions that strengthen our clients' resilience, mitigate ...

Our scientists, engineers, field teams and consultants apply systems thinking that unites science, data and practical expertise to deliver solutions that strengthen our clients' resilience, mitigate ...

Our scientists, engineers, field teams and consultants apply systems thinking that unites science, data and practical expertise to deliver solutions that strengthen our clients' resilience, mitigate ...

Our scientists, engineers, field teams and consultants apply systems thinking that unites science, data and practical expertise to deliver solutions that strengthen our clients' resilience, mitigate ...

Our scientists, engineers, field teams and consultants apply systems thinking that unites science, data and practical expertise to deliver solutions that strengthen our clients' resilience, mitigate ...

... programming as client needs and goals evolve. • Maintain consistent communication and ... Science) in accordance with Company-established targets. Compliance, Systems & Records • ...

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... civil union or domestic partnership status, sexual orientation, gender identity, gender expression ...

Showing results 41-60

Entry Level Civil Engineering Data Science information

See Santa Maria, CA salary details

$41.5K

$75.4K

$124K

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

As of Sep 6, 2026, the average yearly pay for entry level civil engineering data science in Santa Maria, CA is $75,369.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,300.00 and $90,700.00 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 Santa Maria, CA?

For Entry Level Civil Engineering Data Science jobs in Santa Maria, CA, the most frequently searched job titles are:

What job categories do people searching Entry Level Civil Engineering Data Science jobs in Santa Maria, CA look for?

The top searched job categories for Entry Level Civil Engineering Data Science jobs in Santa Maria, CA are:

What cities near Santa Maria, CA are hiring for Entry Level Civil Engineering Data Science jobs?

Cities near Santa Maria, CA with the most Entry Level Civil Engineering Data Science job openings:

Infographic showing various Entry Level Civil Engineering Data Science job openings in Santa Maria, CA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $75,369 per year, or $36.2 per hour.

Test Eng. IV - Western Range with Security Clearance

Celeris Systems, Inc.

Lompoc, CA • On-site

Other

Medical, Dental, Vision, Life, PTO

Re-posted 28 days ago


Job description

Position Overview
Celeris Systems is seeking a Test Engineer IV to support a U.S. Space Force modernization program at Vandenberg Space Force Base. The selected candidate will join an established engineering team supporting the planning, development, execution, and documentation of system-level testing for mission-critical range systems.
This position is ideal for an experienced test engineer with a background in systems integration, verification and validation (V&V), and test execution within aerospace, defense, or launch operations. Experience supporting the Western Range or similar Department of Defense test environments is highly desirable. Key Responsibilities • Develop, review, and execute detailed test plans, test procedures, and test reports. • Support system integration, verification, validation, and acceptance testing activities. • Coordinate with Government and contractor engineering teams to ensure successful test execution. • Evaluate system performance, document test results, and assist in troubleshooting hardware and software anomalies. • Support Test Readiness Reviews (TRRs), test planning meetings, and post-test reviews. • Maintain traceability between requirements, verification activities, and test results. • Analyze test data and prepare technical reports and recommendations. • Support configuration management and documentation updates associated with testing activities. • Assist in identifying system deficiencies, documenting issues, and tracking corrective actions through resolution. • Ensure testing activities comply with program requirements, engineering standards, and established quality processes. Required Qualifications • Bachelor's degree in Engineering, Computer Science, Physics, Mathematics, or a related technical discipline. • Minimum of 9 years of experience supporting test engineering, systems integration, verification and validation, or related engineering activities. • Experience developing test plans, test procedures, and technical test documentation. • Experience supporting system integration and formal test events. • Strong troubleshooting and analytical skills. • Experience working with multidisciplinary engineering teams. • Active Secret security clearance. • Excellent written and verbal communication skills. Preferred Qualifications • Experience supporting the Western Range, Vandenberg Space Force Base, or other Department of Defense test ranges. • Experience with telemetry systems, RF systems, communications systems, or networked systems. • Experience supporting verification and validation (V&V) activities. • Experience using requirements management or configuration management tools such as DOORS, Windchill, Cameo, or similar. • Experience supporting Test Readiness Reviews (TRRs) and formal engineering reviews. • Familiarity with systems engineering processes and the system development lifecycle. • Experience supporting launch operations, space systems, or mission-critical defense programs. Benefits Comprehensive medical, dental, and vision insurance, life insurance, paid time off and the 11 federal holidays. Celeris Systems, Inc. is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and provided equal employment opportunities without regard to race, color, religion, sex (including pregnancy, sexual orientation, gender identity, or gender expression), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.