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Entry Level Biometrics Jobs (NOW HIRING)

Build the automated and triggered campaigns that drive our entry-level SKUs - abandoned cart ... Build audiences using behavioral, biometric, and CRM data so every message feels like it was built ...

... and implementing passenger biometric recognition, immigration processing, and intelligent ... This is an entry-level opportunityideal for a recent college graduate or early-career professional ...

Acts as an entry-level incumbent with basic knowledge and skills, generally gained through college ... Use biometrics and statistical analysis in applying data analysis techniques. Analyze and present ...

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Entry Level Biometrics information

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$29K

$63.4K

$100K

How much do entry level biometrics jobs pay per year?

As of Jun 5, 2026, the average yearly pay for entry level biometrics in the United States is $63,444.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,000.00 and $75,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Biometrics professional, and why are they important?

To thrive as an Entry Level Biometrics professional, you need a foundational understanding of biology, statistics, and data analysis, often supported by a degree in biology, statistics, computer science, or a related field. Familiarity with biometric software, statistical analysis tools like R or Python, and data management systems is typically expected. Attention to detail, problem-solving skills, and strong communication abilities help you excel in collaborative, data-driven environments. These skills ensure accurate data interpretation and effective collaboration, which are crucial for supporting research and technological advancements in biometrics.

What types of projects and technologies can I expect to work with as an entry level biometrics professional?

As an entry level biometrics professional, you will typically be involved in projects related to the collection, analysis, and management of biometric data, such as fingerprints, facial recognition, or iris scans. You may work with software tools for biometric enrollment and verification, assist in testing new biometric systems, and support data quality assurance. Collaboration with cross-functional teams, including software engineers and data analysts, is common as you help integrate biometric solutions into broader security or identity management systems. This exposure can provide a solid foundation for specialization in areas like cybersecurity or advanced biometric algorithm development.

What are entry level biometrics jobs?

Entry level biometrics jobs are positions for individuals who are new to the field of biometrics, which involves using biological data such as fingerprints, facial recognition, or iris scans for identification and security purposes. These roles typically require at least a bachelor's degree in computer science, biology, engineering, or a related field, and may involve tasks such as data collection, analysis, system testing, and assisting in the development of biometric systems. Entry level employees often work under the supervision of senior staff while gaining hands-on experience with biometric technologies and security protocols.

What is the difference between Entry Level Biometrics vs Entry Level Data Analyst?

AspectEntry Level BiometricsEntry Level Data Analyst
Required CredentialsDegree in Biometrics, Computer Science, or related field; basic knowledge of biometric systemsDegree in Data Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentLaboratories, security facilities, biometric system installationsOffices, data centers, client sites
Employer & Industry UsageSecurity firms, government agencies, biometric technology companiesFinance, healthcare, marketing, technology sectors

Entry Level Biometrics focuses on biometric systems and security applications, requiring knowledge of biometric technologies. Entry Level Data Analysts analyze data sets across various industries. While both roles require analytical skills, Entry Level Biometrics emphasizes biometric hardware and security protocols, whereas Entry Level Data Analysts focus on data interpretation and reporting.

More about Entry Level Biometrics jobs
What cities are hiring for Entry Level Biometrics jobs? Cities with the most Entry Level Biometrics job openings:
What are the most commonly searched types of Biometrics jobs? The most popular types of Biometrics jobs are:
What states have the most Entry Level Biometrics jobs? States with the most job openings for Entry Level Biometrics jobs include:
What job categories do people searching Entry Level Biometrics jobs look for? The top searched job categories for Entry Level Biometrics jobs are:
Infographic showing various Entry Level Biometrics job openings in the United States as of May 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 100% In-person job distribution, with an average salary of $63,444 per year, or $30.5 per hour.
Jr. Quality Assurance Engineer

Jr. Quality Assurance Engineer

Securiport LLC

Reston, VA • On-site

Full-time

Posted 14 days ago


Job description

Position Summary: Securiport LLC is a US company based in Reston, VA, specializing in designing and implementing passenger biometric recognition, immigration processing, and intelligent information reporting and management systems based on advanced technological solutions. Securiport provides a complete immigration processing solution and analytics to maintain border security. Services include technical analysis, design, implementation, and maintenance of Securiport's software solutions, training, and technical support to the field operations.
This is an entry-level opportunity ideal for a recent college graduate or early-career professional with a degree in Software Engineering, Computer Science, Information Technology, Computer Engineering, Information Systems, or a related technical field.
You will work across the software lifecycle to help ensure the quality, reliability, and functionality of products delivered to clients. You will collaborate with the QA Team, developers, product teams, and other cross-functional stakeholders to support test design, test execution, defect tracking, documentation, and release readiness. You will be working in a hybrid Agile/Waterfall software lifecycle, with a strong bias toward Agile. You should have academic, internship, project-based, or early professional exposure to testing web applications, desktop applications, APIs, or software systems.
Principal Duties and Responsibilities
  • Support quality assurance activities across the full software development lifecycle, including requirements analysis, design, development, testing, release, and post-release support.
  • Assist with test planning, test case design, test execution, defect tracking, regression testing, and documentation.
  • Perform manual testing of thick-client desktop applications, web applications, and web services/APIs.
  • Review requirements, user stories, acceptance criteria, and technical documentation to help ensure testability and completeness.
  • Identify, document, track, and verify software defects using test management and defect tracking tools.
  • Participate in Agile software development activities, including sprint planning, daily stand-ups, backlog refinement, sprint reviews, and retrospectives.
  • Collaborate with QA team members, developers, product owners, business analysts, and other stakeholders to validate expected system behavior.
  • Assist with creating and maintaining clear end-user and administrator documentation in collaboration with cross-functional teams.
  • Support automated testing activities at the unit, integration, and end-to-end levels; exposure to tools such as Playwright, Selenium, or Ranorex is preferred.
  • Gain hands-on experience using test management and ALM tools, such as Azure DevOps, OpenText ALM, Jira, Confluence, Redmine, or similar platforms.
  • Apply strong written and verbal communication skills in English to document test results, defects, and QA findings clearly.

Required Knowledge, Skills, Abilities
  • Bachelor's degree in Software Engineering, Computer Science, Information Technology, Computer Engineering, Information Systems, Cybersecurity, Data Science, or a related technical field from an accredited institution. QA-related coursework, certifications, bootcamps, internships, or academic projects are a plus.
  • Zero to three (0-3) years of experience in software quality assurance, software testing, software development, technical support, systems analysis, application support, or a related technical field.
  • Basic understanding of software quality assurance methodologies, tools, and best practices.
  • Academic, internship, project-based, or early professional exposure to the software development lifecycle.
  • Basic knowledge of test planning, test case development, defect tracking, regression testing, and test execution.
  • Familiarity with web applications, desktop applications, APIs, databases, or enterprise software systems.
  • Basic understanding of Agile software development environments, such as Scrum or Kanban.
  • Strong analytical, problem-solving, troubleshooting, and attention-to-detail skills.
  • Ability to work collaboratively in a team environment and communicate effectively with technical and non-technical stakeholders.
  • Willingness to learn new technologies, testing tools, QA processes, and business systems.
  • Must be a U.S. Citizen or Green Card holder.
  • Only local candidates will be considered.

Any or all of these skills are desired
  • Experience or coursework using collaboration and application lifecycle management tools such as Confluence, Azure DevOps, Jira, Redmine, or similar platforms.
  • Basic experience with programming or scripting, particularly in Java, C#, JavaScript, Python, or a similar language.
  • Exposure to automated testing tools such as Playwright, Selenium, Ranorex, or similar frameworks.
  • Basic experience with API testing tools such as Postman, Swagger, SoapUI, or similar platforms.
  • Familiarity with databases and basic SQL queries.
  • Exposure to commercial cloud environments, such as Microsoft Azure or Amazon Web Services.
  • Interest in learning manual testing, automated testing, API testing, performance testing, and quality engineering best practices.
  • Ability to create clear documentation, test summaries, and defect reports.
  • #LI-NA1

Securiport is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Securiport is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.
Disclaimer: Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. The above statements are intended to describe the general nature and level of work being performed by people assigned to this position at the time this job description was written. They are not intended to be an exhaustive list of all duties, responsibilities and skills required of personnel so classified. This document does not create an employment contract, implied or otherwise, and all employees in this position are employed "at-will."