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Engineering Economics Jobs (NOW HIRING)

Analytics Engineering Intern

Denver, CO

$17.25 - $22.50/hr

Currently pursuing a Bachelor's degree in Statistics, Engineering, Economics, Business Administration, Data Science, Computer Science, or related fields. * Interest in data analysis, business ...

Analytics Engineering Intern

Denver, CO · On-site

$17.25 - $22.50/hr

Currently pursuing a Bachelor's degree in Statistics, Engineering, Economics, Business Administration, Data Science, Computer Science, or related fields. * Interest in data analysis, business ...

PR · On-site

$16.25 - $21.25/hr

Currently pursuing a Bachelor's degree in Statistics, Engineering, Economics, Business Administration, Data Science, Computer Science, or related fields. * Interest in data analysis, business ...

Independently develops models, data bases and spreadsheets to analyze data (e.g., statistics, operations research, engineering economics), and provides summary analysis and metrics for consultation ...

Review sales contracts using engineering economics to perform profitability analyses and suggest pricing or operational improvements to boost profit. * Monitor sales and marketing systems, applying ...

Showing results 41-60

Engineering Economics information

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$53

$65

$75

How much do engineering economics jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for engineering economics in the United States is $65.38, according to ZipRecruiter salary data. Most workers in this role earn between $59.62 and $71.15 per hour, depending on experience, location, and employer.

Is engineering economics difficult?

Engineering economics involves analyzing costs, benefits, and financial factors related to engineering projects, and it requires understanding of economic principles, mathematics, and engineering concepts. The difficulty depends on a person's background in these areas and their familiarity with financial analysis tools like present worth and rate of return calculations. Developing strong analytical skills and gaining practical experience can help manage the complexity of the subject.

What are the typical responsibilities of an engineering economics professional?

Engineering Economics professionals are typically responsible for evaluating the financial viability of engineering projects, conducting cost-benefit analyses, and preparing detailed economic forecasts to guide project planning. They often collaborate closely with engineering teams, project managers, and financial departments to gather data, assess risk, and ensure resources are optimally allocated. On a daily basis, they may work on developing financial models, presenting findings to decision-makers, and recommending strategies to improve project efficiency and profitability. This interdisciplinary work enables organizations to make data-driven investment and project management decisions.

What is engineering economics?

An Engineering Economics job involves applying economic principles to engineering projects to ensure cost efficiency and financial feasibility. Professionals in this field analyze costs, evaluate investment decisions, and optimize resource allocation for engineering projects. They work in industries like construction, manufacturing, and infrastructure development to balance technical and financial considerations. Their role helps organizations make data-driven decisions that maximize profitability while maintaining project sustainability.

What are the key skills and qualifications needed to thrive in engineering economics?

To excel in Engineering Economics, you need strong quantitative analysis, economic modeling, and engineering fundamentals, usually backed by a degree in engineering or a related field. Familiarity with financial analysis software, spreadsheet modeling, and cost estimation tools is highly valuable, and certification such as Professional Engineering (PE) or specialized economics credentials can be advantageous. Excellent problem-solving, attention to detail, and communication skills help professionals explain complex cost-benefit analyses to technical and non-technical stakeholders. These competencies ensure accurate economic assessments and informed decision-making, directly impacting project viability and resource allocation.

What jobs combine engineering and economics?

Jobs that combine engineering and economics include roles such as engineering economist, cost analyst, project manager, and operations researcher. These positions often require skills in financial analysis, data modeling, and engineering principles to evaluate project feasibility, optimize resource allocation, and improve operational efficiency.
More about Engineering Economics jobs
What cities are hiring for Engineering Economics jobs? Cities with the most Engineering Economics job openings:
What are the most commonly searched types of Engineering Economics jobs? The most popular types of Engineering Economics jobs are:
What states have the most Engineering Economics jobs? States with the most job openings for Engineering Economics jobs include:
Infographic showing various Engineering Economics job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, 4% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $135,999 per year, or $65.4 per hour.

$17.25 - $22.50/hr

Full-time

Re-posted 26 days ago


Job description

We are looking for an Analytics Engineering Intern who is eager to learn and passionate about transforming information into actionable insights. This role is ideal for students with curiosity for programming, process automation, and building scalable analytical solutions.
As part of our Analytics team, you will collaborate with experienced professionals, contribute to real projects, and strengthen your technical and analytical skills in a dynamic environment.
  • Support the development of automated data workflows and reporting processes.
  • Assist in building scripts and tools using Python to improve operational efficiency.
  • Work with structured and unstructured data to support analytics and automation
    initiatives.
  • Collaborate on process optimization and automation projects across teams.
Technical Requirements
  • Familiarity with Python for scripting, automation and/or data analysis.
  • Basic knowledge of SQL and data querying concepts.
  • Exposure to Power BI or visualization tools.
  • Familiarity with APIs, automation tools, or workflow optimization concepts is a plus.
  • Intermediate proficiency in Excel and data organization.
Professional Qualifications
  • Currently pursuing a Bachelor's degree in Statistics, Engineering, Economics, Business Administration, Data Science, Computer Science, or related fields.
  • Interest in data analysis, business intelligence, or analytics consulting.
  • Strong analytical thinking and attention to detail.
  • Good communication and collaboration skills.
  • Ability to learn quickly and work in a team-oriented environment.
  • Self-motivated, organized, and curious mindset.
    Preferred Qualifications
  • Experience with Python libraries such as Pandas and NumPy, and familiarity with writing scripts for data processing or automation.
  • Experience building academic or personal projects involving data pipelines, dashboards, or automation.
  • Familiarity with GitHub, Git, or version control tools.
  • Interest in building integrations, automations, or data workflows using APIs and scripting tools.
  • Interest in AI, machine learning, or intelligent automation.