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Civil Engineer Python Jobs in Wylie, TX (NOW HIRING)

Orionyx Enginnering

Data Analyst

Dallas, TX · Remote

$23.50 - $30.50/hr

We are a leading firm that specializes in civil engineering, structural engineering, architectural ... R, Python, or similar). * Technical Skills: * Proficiency in SQL for database management and ...

Black & Veatch

Hydrogeologist

Dallas, TX

$67K - $86K/yr

Our team also supports clients focused on civil engineering applications, as well as traditional ... GIS proficiency (ArcGIS or equivalent); basic Python scripting a plus. Minimum Qualifications

Ferrovial

IT Solutions Lead

Irving, TX

... civil, waterworks, energy and infrastructure management and is dedicated to safely providing ... Programming experience with .NET, Python, and React * Experience with AI development and ...

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All JobsCivil Engineer Python JobsCivil Engineer Python Jobs in Wylie, TX

Civil Engineer Python information

See Wylie, TX salary details

$22.1K

$134.4K

$194.4K

How much do civil engineer python jobs pay per year?

As of Aug 7, 2026, the average yearly pay for civil engineer python in Wylie, TX is $134,401.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $158,000.00 per year, depending on experience, location, and employer.

What does a civil engineer python do?

Civil engineers who are proficient in Python often leverage their programming skills to automate repetitive calculations, analyze large datasets from simulations or site surveys, and develop custom tools to streamline project workflows. Typical tasks include scripting for structural analysis, automating report generation, and creating visualization dashboards for project data. Python also facilitates collaboration with interdisciplinary teams, such as integrating engineering models with GIS or BIM systems. Embracing Python can significantly enhance productivity and open opportunities for innovation within civil engineering projects.

What are the key skills and qualifications needed to thrive as a civil engineer python?

To thrive as a Civil Engineer with Python expertise, you need a solid background in civil engineering principles, mathematics, and programming, typically supported by a degree in civil engineering and experience with Python. Familiarity with technical tools such as AutoCAD, Civil 3D, structural analysis software, and Python libraries like NumPy and Pandas is essential. Strong analytical thinking, problem-solving, and effective communication skills enable you to bridge engineering concepts with computational solutions. These skills are crucial for optimizing design processes, automating workflows, and enhancing project efficiency in modern civil engineering environments.

What is the difference between Civil Engineer Python vs Civil Engineer AutoCAD?

AspectCivil Engineer PythonCivil Engineer AutoCAD
Required CredentialsBachelor's in Civil Engineering, programming skills in PythonBachelor's in Civil Engineering, proficiency in AutoCAD
Work EnvironmentDesign, analysis, and automation tasks often involving software developmentDrafting, designing, and creating technical drawings
Industry UsageData analysis, automation, modeling in civil projectsCreating detailed plans and blueprints for construction
Common Search/ComparisonYesYes

Both Civil Engineer Python and Civil Engineer AutoCAD roles require a civil engineering background, but Python focuses on programming, automation, and data analysis, while AutoCAD emphasizes drafting and design. Professionals often choose based on their interest in software development versus traditional design tasks.

What is a civil engineer python?

Civil Engineer Python roles involve leveraging Python programming skills to solve problems in civil engineering. These professionals use Python to automate tasks, analyze data, create simulations, and develop custom tools for design, modeling, and project management. Their work often enhances efficiency and accuracy in areas such as structural analysis, geotechnical engineering, and transportation planning. By integrating Python into civil engineering workflows, they help bridge the gap between traditional engineering practices and modern computational methods.

Is Python useful in civil engineering?

Civil engineers can use Python for tasks such as data analysis, automation of design processes, and modeling structural or environmental systems. Python's extensive libraries like NumPy and Pandas help streamline calculations and data management, making it a valuable skill in modern civil engineering workflows.
What job categories do people searching Civil Engineer Python jobs in Wylie, TX look for? The top searched job categories for Civil Engineer Python jobs in Wylie, TX are:
What cities near Wylie, TX are hiring for Civil Engineer Python jobs? Cities near Wylie, TX with the most Civil Engineer Python job openings:
Civil Engineer Python jobs near you

Data Analyst

Orionyx Enginnering

Dallas, TX • Remote

$23.50 - $30.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

Job description

About Us: With a team of experienced experts and a dedication to excellence, Orionyx Engineering Ltd. offers comprehensive services that guarantee the highest quality standards in every project. We are a leading firm that specializes in civil engineering, structural engineering, architectural services, surveying, and forensic analysis. Our mission is to deliver precise and innovative engineering solutions that improve infrastructure and support sustainable development.
This is a remote role strictly for candidates within the United States. 

Position Overview: As a Data Analyst at Orionyx Engineering Ltd., you will play a pivotal role in transforming data into actionable insights that drive strategic decision-making across various engineering projects. You will collaborate with engineering teams, project managers, and stakeholders to analyze data trends, develop reports, and contribute to data-driven strategies that enhance operational efficiency and project outcomes.

Key Responsibilities:

  1. Data Collection and Management:
    • Gather and organize large sets of structured and unstructured data from various sources, including databases, spreadsheets, and project management tools.
    • Ensure data integrity and accuracy by implementing validation checks and cleansing processes.
  2. Data Analysis:
    • Utilize statistical methods and analytical techniques to interpret complex data sets related to engineering projects, performance metrics, and operational efficiency.
    • Identify trends, patterns, and anomalies in data to inform project planning and execution.
  3. Reporting and Visualization:
    • Create comprehensive reports, dashboards, and visualizations that communicate findings to stakeholders in an accessible manner.
    • Present data insights and recommendations to engineering teams, project managers, and executive leadership.
  4. Collaboration and Communication:
    • Work closely with engineering teams to understand their data needs and provide analytical support for ongoing projects.
    • Facilitate workshops and meetings to gather requirements and present findings, ensuring alignment with project goals.
  5. Predictive Modeling:
    • Develop predictive models to forecast project timelines, resource allocation, and potential risks based on historical data.
    • Collaborate with cross-functional teams to implement data-driven strategies that optimize project outcomes.
  6. Tool Development and Automation:
    • Identify opportunities for automation in data collection and reporting processes to enhance efficiency.
    • Develop and maintain analytical tools and databases to support ongoing data analysis efforts.
  7. Quality Assurance:
    • Conduct regular audits of data quality and reporting processes to ensure compliance with industry standards and best practices.
    • Provide training and support to team members on data analysis tools and methodologies.

Qualifications:

  • Education:
    • Bachelors degree in Data Science, Engineering, Statistics, Computer Science, or a related field. A masters degree is a plus.
  • Experience:
    • 2+ years of experience in data analysis, preferably within the engineering or construction industry.
    • Proven experience with data visualization tools (e.g., Tableau, Power BI) and statistical analysis software (e.g., R, Python, or similar).
  • Technical Skills:
    • Proficiency in SQL for database management and querying.
    • Strong knowledge of Excel for data manipulation and analysis.
    • Familiarity with engineering software and tools (e.g., AutoCAD, Primavera) is a plus.
  • Soft Skills:
    • Excellent analytical and problem-solving skills.
    • Strong communication and presentation abilities to convey complex data insights to non-technical stakeholders.
    • Ability to work independently and collaboratively in a fast-paced environment.

What We Offer:

  • Competitive salary and benefits package.
  • Opportunities for professional development and continuous learning.
  • A dynamic and inclusive work environment.
  • Involvement in innovative engineering projects that make a difference.

Job Types: Full-time

Pay: From $23.50 - $30.50 per hour

Schedule: Monday to Friday (8 hours daily)

Expected hours: 40 per week 

Benefits:

  • 401(k)
  • Dental insurance
  • Vision insurance
  • Health insurance
  • Life insurance
  • Paid time off

Work Location: Remote 

Package Details

  • 401(k)
  • Dental insurance
  • Vision insurance
  • Health insurance
  • Life insurance
  • Paid time off

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