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Civil Engineering Sql Python Jobs (NOW HIRING)

AaraTechnologies Inc

DATA ENGINEER

Fort Worth, TX

$109.60K - $131.60K/yr

Strong analytical and problem-solving skills Skills Financial Data Engineering, SQL, Python Basics, ETL / ELT Pipelines, Financial & Transaction Data, Data Ingestion, Data Transformation, Data ...

Compunnel

Python, SQL Developer with AWS

Reston, VA

$52.25 - $72/hr

Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Proven experience in Python programming and SQL development. Hands-on ...

Guru Schools

SQL/Database developer

Denver, CO · On-site

$46.50 - $63.75/hr

Overview: Role : SQL or database developer Location: Denver Colorado ( only locals in CO with DL copy )Exp : 4-8 years HYBRID POSITION( 1 day in a week) Skills : cloud, SQL, python, etl Need only ...

Brightli

Principal AI Engineer

Springfield, MO

... Engineering, SQL, Python Position Perks & Benefits: Paid time off: full-time employees receive an attractive time off package to balance your work and personal life Employee benefits package ...

Meta Force Technology Staffing LLC

SQL Developer

Charlotte, NC · On-site

$44.25 - $60.50/hr

Experience software engineering with strong SQL Server (2017+) experience. Experience in SSIS ... Familiarity with Python, PowerShell. Exposure to Microsoft Dynamics CRM or other cloud integrations.

Diverse Lynx

Python & SQL Developer

Tampa, FL

$45.75 - $63/hr

Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent experience. Typically 8+ years of experience in Python and SQL development roles (varies by seniority)

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Civil Engineering Sql Python information

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How much do civil engineering sql python jobs pay per year?

As of May 30, 2026, the average yearly pay for civil engineering sql python in the United States is $139,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $164,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Civil Engineer with expertise in SQL and Python, and why are they important?

To thrive as a Civil Engineer with SQL and Python skills, you need a solid background in civil engineering principles, a relevant engineering degree, and proficiency in data analysis. Familiarity with tools like AutoCAD, GIS software, and programming languages such as SQL for database management and Python for data processing or automation is essential. Strong problem-solving abilities, attention to detail, and effective communication are important soft skills for this role. These combined skills allow for data-driven decision-making, efficient project management, and innovative solutions in modern civil engineering projects.

How do civil engineers use SQL and Python in their daily workflow?

Civil engineers increasingly leverage SQL and Python to manage and analyze large datasets related to infrastructure projects, such as surveying data, materials tracking, and project scheduling. SQL is commonly used to query and organize data stored in databases, while Python is employed for automating calculations, running simulations, and visualizing project metrics. Working with these tools allows civil engineers to improve decision-making, enhance project efficiency, and collaborate more effectively with multidisciplinary teams, particularly in roles involving smart infrastructure or data-driven design.

What are Civil Engineering SQL Python jobs?

Civil Engineering SQL Python jobs are roles that combine knowledge of civil engineering principles with proficiency in SQL (Structured Query Language) and Python programming. Professionals in these positions use their engineering expertise to analyze and manage data, automate processes, and develop tools or models for infrastructure projects. They may work on data-driven tasks such as traffic analysis, structural modeling, or project management, and utilize Python and SQL to handle large datasets, perform calculations, and generate reports. These skills are increasingly valuable as civil engineering projects rely more on digital tools and data analytics.

What is the difference between Civil Engineering Sql Python vs Structural Engineering Sql Python?

AspectCivil Engineering Sql PythonStructural Engineering Sql Python
Required credentialsBachelor's in Civil Engineering, certifications in SQL and PythonBachelor's in Structural Engineering, certifications in SQL and Python
Work environmentConstruction sites, urban planning, infrastructure projectsBuilding design, structural analysis, safety assessments
Employer and industry usageConstruction firms, government agencies, consulting firmsArchitectural firms, engineering consultancies, construction companies
Common search and comparison intentUnderstanding roles in infrastructure projects involving SQL and PythonComparing data analysis roles in structural design using SQL and Python

Both Civil Engineering SQL Python and Structural Engineering SQL Python roles require similar technical skills and certifications, but they focus on different aspects of engineering projects. Civil engineering roles often involve broader infrastructure projects, while structural engineering focuses on building stability and safety. The choice depends on your specific interest in infrastructure versus structural design within the industry.

Infographic showing various Civil Engineering Sql Python job openings in the United States as of May 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $139,971 per year, or $67.3 per hour.
Data Engineer (SQL, Python)

Data Engineer (SQL, Python)

Siri InfoSolutions Inc

Sunnyvale, CA • On-site

$134.40K - $161.40K/yr

Full-time

Posted 20 days ago

Job description

Job Summary – Data Engineer (SQL, Python)
- Minimum 8 years’ experience in data engineering or backend data development roles.
- Expert in SQL (including performance tuning, window functions, CTEs, analytical queries).
- Strong Python programming skills for scripting, data processing, and ETL logic.
- Hands-on experience with relational databases (PostgreSQL, MySQL) and data warehouses (Snowflake, BigQuery, Redshift).
- Proven ability to design, build, and maintain large-scale, production data pipelines (ETL/ELT).
- In-depth knowledge of data modeling techniques (dimensional modeling, normalization/denormalization).
- Solid understanding of data quality, validation, and governance processes.
- Proficient with version control systems (e.g., Git) and agile development methodologies.
- Skilled in troubleshooting complex data issues and delivering scalable solutions.
- Responsibilities include designing, building, and optimizing robust ETL/ELT pipelines, architecting high-performance data models, and ensuring data quality and governance.
- Lead data engineering projects, collaborate with cross-functional teams, and mentor junior engineers.
- Proactively monitor pipelines, address performance/reliability issues, document data architecture, and contribute to long-term data platform strategies.
- Onsite role based in Sunnyvale, CA; full-time position.
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About Siri Infosolutions

Sourced by ZipRecruiter

Our team of experts first gather each and every requirement of yours. Our research and development team then sit around those requirements and come up with a plan. Our implementation team then executes that plan for optimal results. After that our support team remains in constant touch with you during and after the entire process.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

Edison, NJ, US

Year founded

2005

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