ZipRecruiter

Log In

1

Civil Engineering Sql Python Jobs (NOW HIRING)

AECOM

Civil Engineering IV

Tampa, FL · On-site

AECOM Technical Services, Inc. is seeking a Civil Engineering IV in Tampa, FL. Job Details ... Python * Ability to serve as engineer of record and sign and seal drawings * Professional Engineer ...

AECOM

Civil Engineering IV

Tampa, FL

AECOM Technical Services, Inc. is seeking a Civil Engineering IV in Tampa, FL. Job Details ... Python * Ability to serve as engineer of record and sign and seal drawings * Professional Engineer ...

CareConnectMD Inc

Senior SQL Developer

Costa Mesa, CA · On-site

$150K - $170K/yr

We are seeking a strong skilled SQL developer with python scripting experience in the healthcare industry. The ideal candidate should have several years of experience in data analysis and data ...

AECOM

Civil Engineering IV

Tampa, FL

AECOM Technical Services, Inc. is seeking a Civil Engineering IV in Tampa, FL. Job Details ... Python * Ability to serve as engineer of record and sign and seal drawings * Professional Engineer ...

IntraEdge

Engineer - Python & SQL

Ashland, OH

$43.50 - $60/hr

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field. Master ... SQL DBA , Tableau and Python developer 3-5 years of exp About the Role We are looking for a skilled ...

floodwave

Python/ Django + SQL Engineer

San Francisco, CA

$59.25 - $81.50/hr

Python/ Django + SQL Engineer We are looking for top-notch Python/ Django frontend developers with strong skills in HTML(5), CSS and JS. You will work with a team to build an analytics and metrics ...

Floodwave

Python/ Django + SQL Engineer

San Francisco, CA · On-site

$59.25 - $81.50/hr

Python/ Django + SQL Engineer We are looking for top-notch Python/ Django frontend developers with strong skills in HTML(5), CSS and JS. You will work with a team to build an analytics and metrics ...

next page

Showing results 1-20

People also search for

All JobsCivil Engineering Sql Python Jobs

Civil Engineering Sql Python information

See salary details

$23K

$140K

$202.5K

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

As of May 31, 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

Stellar IT Group

Miami, FL • On-site

$109.50K - $131.50K/yr

Full-time

Posted 10 days ago

Job description

Overview:
Data Engineer
Location: Miami, FL (Onsite preferred)
Long Term Contract
Role Overview
We are seeking a skilled Data Engineer to design, build, and maintain the data infrastructure powering company's analytics. This role will focus on developing reliable pipelines that ingest data from key commercial systems (Salesforce, HubSpot, Stripe, and more) into BigQuery, ensuring data is clean, well-documented, and readily available for the Analytics and BI teams. The ideal candidate will combine strong technical expertise with a collaborative mindset to deliver trustworthy, high-performance data solutions.
Key Responsibilities
  • Design, build, and maintain robust ELT/ETL pipelines ingesting data into BigQuery.
  • Configure and extend Fivetran connectors; develop custom connectors when required.
  • Develop and maintain dbt models, tests, and documentation to ensure data quality and lineage.
  • Monitor pipeline health, implement alerting, and respond to incidents to ensure data freshness.
  • Partner with the Senior Data Architect on data governance practices (cataloguing, certification, access controls).
  • Optimize BigQuery tables for cost efficiency and query performance (partitioning, clustering, materialization).
  • Collaborate with Analytics Engineers and Analysts to align data models with downstream requirements.
  • Contribute to CI/CD pipelines and infrastructure-as-code practices for data assets.
  • Document data flows, dependencies, and pipeline architecture for transparency and team alignment.
Qualifications
  • 3+ years of experience in data engineering or related roles.
  • Strong proficiency in SQL and Python for pipeline development and debugging.
  • Hands-on experience with BigQuery or other cloud data warehouses (Snowflake, Redshift, etc.).
  • Experience with ELT/ETL tools (Fivetran, Airbyte, or custom frameworks).
  • Proficiency with dbt for transformations and testing.
  • Experience with workflow orchestration tools (Airflow, Cloud Composer, Prefect).
  • Familiarity with GCP services (Cloud Storage, Pub/Sub, Cloud Functions) or equivalent AWS/Azure services.
  • Strong understanding of data modeling concepts (star schema, SCDs, normalization).
  • Fluent in English (written and spoken).
Nice to Have
  • Experience integrating Salesforce, HubSpot, or Stripe data sources.
  • Knowledge of data governance tools (GCP Data Catalog, Dataplex).
  • Experience with streaming pipelines (Pub/Sub, Kafka).
  • Familiarity with Terraform or other IaC tools.
  • Background in Revenue Operations or go-to-market data contexts.
  • Contributions to open-source data projects or dbt packages.

Skills:
Data Engineering,sql,python,etl

Apply