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Engineering Mathematics Jobs (NOW HIRING)

T Rowe Price

Director of Software Engineering

Baltimore, MD · Hybrid

$251K/yr

Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent professional experience. * 10+ years in software and data engineering, with significant leadership responsibility over ...

Prolim Global

Engineer Systems

Baltimore, MD · On-site

$125/hr

Basic Qualifications: • -Bachelor's degree in STEM (Science, Technology, Engineering, Math) discipline with 5 years of engineering experience in Science, Technology, Engineering, Mathematics, or ...

Kimes Engineering

Structural Engineer

Tampa, FL · On-site

$75K - $120K/yr

Bachelor's degree in civil engineering, mathematics, or a closely related field * Master's degree (preferred) * Structural design experience * Professional Engineering (PE) license strongly preferred ...

Kimes Engineering

Structural Engineer

Tampa, FL · On-site

$75K - $120K/yr

Bachelor's degree in civil engineering, mathematics, or a closely related field * Master's degree (preferred) * Structural design experience * Professional Engineering (PE) license strongly preferred ...

Metrea

CNO Developer Computer Scientist

Annapolis Junction, MD · On-site

$128K - $176K/yr

... engineering, mathematics, or a related field and five years of additional experience is required. • OR A master's degree in computer science, engineering, mathematics, or a related field and three ...

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Engineering Mathematics information

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$22.5K

$58.8K

$94.5K

How much do engineering mathematics jobs pay per year?

As of Jun 9, 2026, the average yearly pay for engineering mathematics in the United States is $58,837.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $70,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working in Engineering Mathematics roles?

Professionals in Engineering Mathematics often encounter the challenge of translating complex mathematical theories into practical, real-world engineering solutions. They must communicate intricate concepts to multidisciplinary teams, which can include engineers, project managers, and clients with varying levels of technical expertise. Additionally, staying current with evolving computational tools and industry standards is essential for success. The role typically involves balancing analytical tasks with collaborative problem-solving, which can be both demanding and rewarding.

What is the difference between Engineering Mathematics vs Data Analyst?

AspectEngineering MathematicsData Analyst
Required CredentialsDegree in Engineering, Mathematics, or related fieldsDegree in Statistics, Mathematics, or related fields
Work EnvironmentEngineering firms, research labs, manufacturingBusiness, finance, tech companies, consulting
Industry UsageDesigning systems, solving engineering problemsInterpreting data, generating reports, supporting decision-making

Engineering Mathematics focuses on applying mathematical principles to solve engineering problems, often involving complex calculations and modeling. Data Analysts interpret data sets to provide insights and support business decisions. While both roles require strong analytical skills and quantitative knowledge, Engineering Mathematics is more technical and theoretical, whereas Data Analysis emphasizes data interpretation and communication.

What are the key skills and qualifications needed to thrive as an Engineering Mathematician, and why are they important?

To thrive as an Engineering Mathematician, you need a strong background in advanced mathematics, problem-solving, and analytical thinking, typically supported by a degree in mathematics, engineering, or a related field. Familiarity with programming languages (such as MATLAB or Python), mathematical modeling software, and statistical analysis tools is commonly required. Strong communication, teamwork, and adaptability help convey complex ideas and collaborate on multidisciplinary engineering projects. These skills are vital for developing innovative solutions and ensuring accurate modeling and analysis in engineering applications.

What is engineering mathematics?

Engineering mathematics is a branch of applied mathematics that focuses on mathematical methods and techniques used in engineering and industry. It includes topics such as calculus, differential equations, linear algebra, probability, and statistics, all tailored to solve practical engineering problems. Engineers use these mathematical tools to analyze systems, design solutions, and optimize processes in fields like civil, mechanical, electrical, and chemical engineering. Mastery of engineering mathematics is essential for understanding and addressing complex technical challenges.
More about Engineering Mathematics jobs
What states have the most Engineering Mathematics jobs? States with the most job openings for Engineering Mathematics jobs include:
What job categories do people searching Engineering Mathematics jobs look for? The top searched job categories for Engineering Mathematics jobs are:
Engineering Mathematics jobs near you
Infographic showing various Engineering Mathematics job openings in the United States as of May 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $58,837 per year, or $28.3 per hour.
Director of Software Engineering

Director of Software Engineering

T Rowe Price

Baltimore, MD • Hybrid

$251K/yr

Other

Posted 12 days ago

T. Rowe Price rating

9.1

Company rating: 9.1 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

Job description

Role Summary

As a senior technology leader within the Data Engineering organization, the Director of Software Engineering is responsible for shaping and executing the strategy that drives our data engineering capabilities-enabling enhanced investment, risk management, and client outcomes. This role demands both a deep technical background and strong leadership skills, operating at the intersection of engineering innovation, data architecture, and business value delivery.

Responsibilities

  • Develop and own the technical and delivery strategy for data engineering platforms, data products, and analytics applications, ensuring alignment with the firm's enterprise data and technology architecture.
  • Lead, mentor, and retain high-performing engineering leaders, fostering a culture of excellence and accountability.
  • Establish and uphold consistent engineering standards, architectural best practices, and operational rigor across teams.
  • Ensure timely and reliable delivery of data pipelines, platforms, and analytics-ready data products.
  • Collaborate with architecture and security teams to deliver scalable, resilient, compliant, and cost-efficient solutions.
  • Serve as a key partner to investment, risk, and distribution stakeholders, translating business objectives into technical direction.
  • Advocate for modern engineering practices, including agile methodologies, DevOps, automation, and continuous process improvement.
  • Provide strategic input on vendor selection, build vs. buy decisions, and cloud cost management.

Core Capabilities & Attributes

  • Experienced engineering leader with credibility and presence to influence at director and executive levels.
  • Effective people manager who coaches leaders, builds succession plans, and sets high standards for performance and conduct.
  • Pragmatic technologist with a focus on simplicity, business value, and long-term sustainability.
  • Comfortable navigating ambiguity, balancing strategic vision with hands-on problem-solving.
  • Collaborative leader who can constructively challenge and inspire teams.

Technical & Domain Expertise

  • Extensive experience in data and platform engineering within modern, cloud-based data environments.
  • Strong understanding of lakehouse and analytical data architectures (e.g., Snowflake, Apache Iceberg, Spark, dbt, Airflow/Dagster).
  • Proven track record of building and managing large-scale AWS-based data platforms.
  • Solid grounding in software engineering principles: system design, data modeling, reliability, and security.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent professional experience.
  • 10+ years in software and data engineering, with significant leadership responsibility over engineering teams and leaders.
  • Demonstrated success managing complex delivery portfolios in regulated or mission-critical settings.
  • Prior hands-on engineering experience, with the ability to engage deeply in architectural and design discussions as needed.

Preferred:

  • Advanced degree in Computer Science, Engineering, Mathematics
  • Experience within buy-side financial services and familiarity with market data, investment data, and regulatory requirements.

FINRA Requirements

FINRA licenses are not required and will not be supported for this role.

Work Flexibility

This role is eligible for hybrid work, with up to three days per week from home.

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