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Engineering Psychologist Jobs in Iowa (NOW HIRING)

Deloitte

Lead AI and Data Science Engineer II

Davenport, IA · On-site

$97K - $128K/yr

... engineering teams on pipelines and infrastructure. Qualifications Required: * Graduate degree in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational Psychology ...

State of Iowa

Correctional Officer

Clarinda, IA

$50K - $70K/yr

  • Retirement

... programming and behavioral objectives in an adult correctional institution; performs related work ... Psychological tests A background investigation check. A post-offer health screen administered by an ...

Country Lane Manor

Activities Assistant

Keosauqua, IA

$14 - $14.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... programming that enhances overall quality of life. Position Details * Status: Part-Time * Pay Rate ... psychological, and spiritual well-being Qualifications * High school diploma or GED preferred

Keosauqua Health Care Center

Activities Assistant

Keosauqua, IA · On-site

$14 - $14.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... programming that enhances overall quality of life. Position Details * Status: Part-Time * Pay Rate ... psychological, and spiritual well-being Qualifications * High school diploma or GED preferred

Varsity Tutors

Video Game Design Tutor

Ames, IA · Remote

$18 - $40/hr

... programming for games, art asset creation, and playtesting methodology. Ability to explain game loop architecture, player psychology, balancing mechanics, and iterative design while preparing ...

Varsity Tutors

Video Game Design Tutor

Iowa City, IA · Remote

$18 - $40/hr

... programming for games, art asset creation, and playtesting methodology. Ability to explain game loop architecture, player psychology, balancing mechanics, and iterative design while preparing ...

Friends of the Family

Housing Navigator

Waterloo, IA · On-site

$20.77/hr

Bachelor Degree in social work, psychology, related field OR combination of equivalent education and experience. * Previous experience in the following preferred: housing programming, affordable ...

Friends of the Family

Housing Navigator

Waterloo, IA

$19.50 - $25.75/hr

Bachelor Degree in social work, psychology, related field OR combination of equivalent education and experience. * Previousexperience in the following preferred: housing programming, affordable ...

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Showing results 41-60

All JobsEngineering Psychologist JobsEngineering Psychologist Jobs in Iowa

Engineering Psychologist information

See Iowa salary details

$10.3K

$87.2K

$374.3K

How much do engineering psychologist jobs pay per year?

As of Aug 17, 2026, the average yearly pay for engineering psychologist in Iowa is $87,176.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $109,900.00 per year, depending on experience, location, and employer.

What is an engineering psychologist?

Engineering psychologists are professionals who study how people interact with machines, systems, and technology in order to improve usability, safety, and efficiency. They apply principles from psychology to the design of products, workplaces, and environments to enhance user experience and reduce human error. Their work is crucial in fields like transportation, healthcare, consumer electronics, and ergonomics, making technology more accessible and user-friendly.

What does an engineering psychologist do?

An engineering psychologist focuses on adapting and improving equipment, technology, and work environments to enhance human capabilities and behavior. As an engineering psychologist, your responsibilities include evaluating the human factors in a workplace, creating guidelines and making changes to guarantee the safety of employees, and explore ways in which workplaces can be made more inclusive and available to people with disabilities. Other duties include analyzing machinery, products, and employee practices to determine if changes are necessary to promote better ergonomics and safety. You typically work with other engineers, stakeholders, and executives to make changes and improvements.

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

To thrive as an Engineering Psychologist, you need a solid background in psychology, human factors, and experimental design, typically supported by at least a master's or doctoral degree in psychology or a related field. Familiarity with usability testing tools, statistical analysis software (such as SPSS or R), and human-computer interaction systems is essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with engineers and designers to optimize user experience. These skills ensure that products, systems, and environments are designed for maximum usability, safety, and efficiency, directly impacting user satisfaction and performance.

How do engineering psychologists typically collaborate with design and engineering teams during the product development process?

Engineering psychologists play a vital role in bridging the gap between human behavior and technology. They often work closely with multidisciplinary teams—including designers, engineers, and product managers—to ensure that products are user-friendly and align with human capabilities. This collaboration usually involves conducting user research, usability testing, and providing feedback on prototypes, helping teams make evidence-based decisions throughout the development cycle. Their input is crucial for identifying potential human errors and enhancing overall user experience, making their contributions highly valued across various industries.

What is the difference between Engineering Psychologist vs Human Factors Specialist?

AspectEngineering PsychologistHuman Factors Specialist
CredentialsMaster's or Ph.D. in psychology, human factors, or related fieldMaster's or Ph.D. in human factors, psychology, or ergonomics
Work EnvironmentResearch labs, government agencies, private industryDesign firms, healthcare, transportation, government agencies
Industry UsageDesigning user interfaces, safety protocols, ergonomic systemsOptimizing product usability, safety, and performance

Engineering Psychologists and Human Factors Specialists often share similar educational backgrounds and work environments. Both focus on improving human interaction with systems and products. However, Engineering Psychologists tend to emphasize research and experimental methods, while Human Factors Specialists often focus more on applied design and usability testing. Both roles are vital in industries like technology, healthcare, and transportation, ensuring safety and efficiency for users.

Is there a job that combines psychology and engineering?

An engineering psychologist is a professional who combines principles of psychology and engineering to improve human interaction with technology and systems. They often work in areas such as user experience, human factors, and ergonomics, utilizing skills in research, data analysis, and design to optimize safety, efficiency, and usability.
More about Engineering Psychologist jobs

What are popular job titles related to Engineering Psychologist jobs in Iowa?

For Engineering Psychologist jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Engineering Psychologist jobs in Iowa look for?

The top searched job categories for Engineering Psychologist jobs in Iowa are:

Engineering Psychologist jobs near you
Infographic showing various Engineering Psychologist job openings in Iowa as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, 4% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $87,176 per year, or $41.9 per hour.

Lead AI and Data Science Engineer II

Deloitte

Davenport, IA • On-site

$97K - $128K/yr

Full-time

Posted 18 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services

Job description

Lead AI and Data Science Engineer II

Drive the design and delivery of advanced analytics, artificial intelligence (AI), and generative artificial intelligence (GenAI) solutions that inform Talent strategy and workforce decisions. In this role, you will lead complex data science work that combines research design, statistical analysis, machine learning, and application development to solve high-priority people challenges. You will also partner with business, Talent, and technology stakeholders to translate workforce data into actionable insights, tools, and recommendations.

Recruiting for this role ends on August 10, 2026.

Work You'll Do

In this role, you will lead the data science dimension of that work, shaping research design, analytical methodology, and solution development while helping develop junior data scientists across the full analytics lifecycle.

Strategy & Stakeholder Partnership

  • Partner with the Advanced Analytics & AI leader to help shape and execute the People Analytics portfolio, using data-driven insights to inform Talent strategy, establish priorities, and manage multiple initiatives.
  • Collaborate with stakeholders across Talent, business leadership, and ITS to define business needs, identify analytics opportunities, communicate complex technical concepts, and advise on the benefits and limitations of automation and artificial intelligence (AI).
  • Develop and drive strategy to understand and improve data quality across relevant Talent data assets.

Analytics & Data Science

  • Design and structure analytical work, including research design, project planning, and use case development, and apply advanced statistical and machine learning methods to generate rigorous, actionable insights.
  • Perform analytics in cloud-based environments, support the development of clear leadership-ready presentations, and stay current on developments in data science, behavioral science, and adjacent disciplines.

Software & Data Engineering

  • Develop full-stack, web-based data and generative artificial intelligence (GenAI) applications that improve Talent reporting and business operations.
  • Partner with data engineering teams on pipeline architecture and infrastructure, using knowledge of extract, transform, load (ETL), version control, and continuous integration and continuous delivery (CI/CD) concepts to inform technical decisions.

People Leadership

  • Mentor junior and mid-level data scientists across the analytics lifecycle, from problem framing and data collection through analysis and synthesis of findings.
  • Provide structure and oversight for analytically complex projects, while assessing talent, delivering developmental feedback, and contributing to a high-performing analytics team.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

The Talent Experience & Engagement, People Analytics - Advanced Analytics & AI team helps the firm make informed people and business decisions by translating workforce data into actionable insights, tools, and strategies. The team combines behavioral science, organizational research, advanced analytics, and artificial intelligence (AI) to address leadership questions, improve decision-making, and create scalable solutions with measurable impact.

The work is delivered through two connected capabilities. Organizational research and storytelling ground analyses in rigorous social science and clear, decision-oriented narratives. Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns in workforce data, build data and generative artificial intelligence (GenAI) applications, and partner with Talent data engineering teams on pipelines and infrastructure.

Qualifications

Required:

  • Graduate degree in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational Psychology, Organizational Behavior, Sociology, Economics, Anthropology, or another quantitative discipline
  • 6+ years of experience in data science, analytics, or applied research
  • Experience using Python and Structured Query Language (SQL), with working knowledge of JavaScript, TypeScript, HyperText Markup Language (HTML), and Cascading Style Sheets (CSS)
  • Experience applying multivariate statistics and machine learning methods, including regression, structural equation modeling, factor analysis, decision trees, clustering, and dimension reduction, in Apache Spark or Databricks environments
  • Experience developing artificial intelligence (AI) or generative artificial intelligence (GenAI) applications and working with extract, transform, load (ETL), pipeline design, and orchestration concepts
  • Demonstrated experience leading AI strategy and enabling adoption of AI or data engineering tools within a complex organizational environment
  • Mentorship of junior and mid-level analysts, providing guidance across the analytics lifecycle from conception through data mining/analysis and synthesis of results
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Doctor of Philosophy (PhD) in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational Psychology, Organizational Behavior, Sociology, Economics, Anthropology, or another quantitative discipline
  • Experience in a professional services organization or large matrixed organization
  • Experience designing and building end-to-end data pipelines for reporting and analytics
  • Experience applying behavioral science frameworks to interpret workforce data and generate insight - not solely technical or statistical proficiency
  • Experience with talent systems such as OneModel or SAP

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $118700 to $218600.

Qualifications:

Lead AI and Data Science Engineer II

Drive the design and delivery of advanced analytics, artificial intelligence (AI), and generative artificial intelligence (GenAI) solutions that inform Talent strategy and workforce decisions. In this role, you will lead complex data science work that combines research design, statistical analysis, machine learning, and application development to solve high-priority people challenges. You will also partner with business, Talent, and technology stakeholders to translate workforce data into actionable insights, tools, and recommendations.

Recruiting for this role ends on August 10, 2026.

Work You'll Do

In this role, you will lead the data science dimension of that work, shaping research design, analytical methodology, and solution development while helping develop junior data scientists across the full analytics lifecycle.

Strategy & Stakeholder Partnership

  • Partner with the Advanced Analytics & AI leader to help shape and execute the People Analytics portfolio, using data-driven insights to inform Talent strategy, establish priorities, and manage multiple initiatives.
  • Collaborate with stakeholders across Talent, business leadership, and ITS to define business needs, identify analytics opportunities, communicate complex technical concepts, and advise on the benefits and limitations of automation and artificial intelligence (AI).
  • Develop and drive strategy to understand and improve data quality across relevant Talent data assets.

Analytics & Data Science

  • Design and structure analytical work, including research design, project planning, and use case development, and apply advanced statistical and machine learning methods to generate rigorous, actionable insights.
  • Perform analytics in cloud-based environments, support the development of clear leadership-ready presentations, and stay current on developments in data science, behavioral science, and adjacent disciplines.

Software & Data Engineering

  • Develop full-stack, web-based data and generative artificial intelligence (GenAI) applications that improve Talent reporting and business operations.
  • Partner with data engineering teams on pipeline architecture and infrastructure, using knowledge of extract, transform, load (ETL), version control, and continuous integration and continuous delivery (CI/CD) concepts to inform technical decisions.

People Leadership

  • Mentor junior and mid-level data scientists across the analytics lifecycle, from problem framing and data collection through analysis and synthesis of findings.
  • Provide structure and oversight for analytically complex projects, while assessing talent, delivering developmental feedback, and contributing to a high-performing analytics team.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

The Talent Experience & Engagement, People Analytics - Advanced Analytics & AI team helps the firm make informed people and business decisions by translating workforce data into actionable insights, tools, and strategies. The team combines behavioral science, organizational research, advanced analytics, and artificial intelligence (AI) to address leadership questions, improve decision-making, and create scalable solutions with measurable impact.

The work is delivered through two connected capabilities. Organizational research and storytelling ground analyses in rigorous social science and clear, decision-oriented narratives. Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns in workforce data, build data and generative artificial intelligence (GenAI) applications, and partner with Talent data engineering teams on pipelines and infrastructure.

Qualifications

Required:

  • Graduate degree in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational Psychology, Organizational Behavior, Sociology, Economics, Anthropology, or another quantitative discipline
  • 6+ years of experience in data science, analytics, or applied research
  • Experience using Python and Structured Query Language (SQL), with working knowledge of JavaScript, TypeScript, HyperText Markup Language (HTML), and Cascading Style Sheets (CSS)
  • Experience applying multivariate statistics and machine learning methods, including regression, structural equation modeling, factor analysis, decision trees, clustering, and dimension reduction, in Apache Spark or Databricks environments
  • Experience developing artificial intelligence (AI) or generative artificial intelligence (GenAI) applications and working with extract, transform, load (ETL), pipeline design, and orchestration concepts
  • Demonstrated experience leading AI strategy and enabling adoption of AI or data engineering tools within a complex organizational environment
  • Mentorship of junior and mid-level analysts, providing guidance across the analytics lifecycle from conception through data mining/analysis and synthesis of results
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Doctor of Philosophy (PhD) in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational Psychology, Organizational Behavior, Sociology, Economics, Anthropology, or another quantitative discipline
  • Experience in a professional services organization or large matrixed organization
  • Experience designing and building end-to-end data pipelines for reporting and analytics
  • Experience applying behavioral science frameworks to interpret workforce data and generate insight - not solely technical or statistical proficiency
  • Experience with talent systems such as OneModel or SAP

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to ski...

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