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Biometric Data Engineer Jobs (NOW HIRING)

$131K - $237K/yr

Biometrics Software Engineer role specializes in integrating biometric technologies (e.g ... Develop data processing pipelines to handle biometric data capture, storage, and transmission ...

Develop data processing pipelines to handle biometric data capture, storage, and transmission ... Participate in software programming initiatives to support innovation and enhancement, using Java ...

Develop data processing pipelines to handle biometric data capture, storage, and transmission ... Participate in software programming initiatives to support innovation and enhancement, using Java ...

Develop data processing pipelines to handle biometric data capture, storage, and transmission ... Participate in software programming initiatives to support innovation and enhancement, using Java ...

Develop data processing pipelines to handle biometric data capture, storage, and transmission ... Participate in software programming initiatives to support innovation and enhancement, using Java ...

Develop data processing pipelines to handle biometric data capture, storage, and transmission ... Participate in software programming initiatives to support innovation and enhancement, using Java ...

Develop data processing pipelines to handle biometric data capture, storage, and transmission ... Participate in software programming initiatives to support innovation and enhancement, using Java ...

Yes DATA ENGINEER PRINCIPAL Own your opportunity to turn data into measurable outcomes for our ... By proceeding, you authorize the collection, processing, and use of your biometric data for ...

Senior Data Engineer

Sterling, VA · Hybrid

$153K - $207K/yr

None Job Family: Data Science and Data Engineering Job Qualifications: Skills: Artificial ... By proceeding, you authorize the collection, processing, and use of your biometric data for ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

The Data Engineer will leverage their expertise with Python to support the customer's data ... of biometrics. Our team of Highly Cleared Specialists have hard-to-find skills and expertise in a ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

The Data Engineer will leverage their expertise with Python to support the customer's data ... of biometrics. Our team of Highly Cleared Specialists have hard-to-find skills and expertise in a ...

Software Engineer

Fort Belvoir, VA · On-site

$99K - $144K/yr

... support secure biometric data management across tactical and enterprise systems. You will ... Provide software engineering support to Field Support Representatives (FSRs) supporting CONUS and ...

... biometric data. • Ensure software solutions comply with government cybersecurity regulations and information assurance requirements. • Support Agile, DevOps, and DevSecOps software development ...

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... biometrics and artificial intelligence to ensure authenticity and protect against identity fraud.

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Biometric Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do biometric data engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for biometric data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a biometric data engineer?

Biometric Data Engineers are professionals who design, develop, and maintain systems that collect, process, and analyze biometric data such as fingerprints, facial recognition, iris scans, or voice patterns. They work with large datasets and specialized algorithms to enable secure identification and authentication processes. Their responsibilities often include building data pipelines, ensuring data quality, integrating biometric technologies, and supporting privacy and security standards. Biometric Data Engineers play a crucial role in industries like security, healthcare, banking, and government agencies where biometric identification is essential.

How does a biometric data engineer typically collaborate with data scientists and software developers on biometric authentication projects?

Biometric Data Engineers play a key role in bridging the gap between data science and software development teams. They are responsible for designing robust data pipelines, ensuring the quality and integrity of biometric datasets, and optimizing data storage for high-throughput authentication systems. Collaboration often involves working closely with data scientists to preprocess and label data for algorithm training, while also partnering with software developers to integrate biometric solutions into end-user applications. Regular cross-functional meetings and code reviews are common to ensure seamless deployment, compliance, and performance of biometric technologies.

What are the key skills and qualifications needed to thrive as a biometric data engineer, and why are they important?

To thrive as a Biometric Data Engineer, you need strong skills in data engineering, machine learning, and biometrics, typically supported by a degree in computer science, engineering, or a related field. Experience with programming languages like Python, familiarity with biometric software (e.g., fingerprint or facial recognition systems), and knowledge of big data platforms such as Hadoop or Spark are often required. Attention to detail, problem-solving ability, and effective communication are valuable soft skills for ensuring data accuracy and collaboration with cross-functional teams. These competencies are crucial for securely developing, optimizing, and maintaining biometric systems that support user authentication and data privacy.

What is the difference between Biometric Data Engineer vs Data Scientist?

AspectBiometric Data EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; experience with biometric data processingBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentTech companies, biometric labs, security firmsVarious industries including finance, healthcare, tech
Employer & Industry UsageSpecialized in biometric data collection, storage, and processingData analysis, modeling, and insights across sectors

Biometric Data Engineers focus on developing systems for biometric data collection and processing, while Data Scientists analyze data to extract insights. Both roles require technical skills but serve different functions within data management and analysis.

What do biometric data engineers do?

Biometric data engineers develop and maintain systems that collect, process, and analyze biometric data such as fingerprints, facial recognition, or iris scans. They work with data management tools, programming languages, and security protocols to ensure accurate and secure biometric identification. Their role often involves data modeling, algorithm development, and collaboration with security and software teams.

What are popular job titles related to Biometric Data Engineer jobs?

For Biometric Data Engineer jobs, the most frequently searched job titles are:

Infographic showing various Biometric Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Associate Data Engineer / AWS Developer (Biometric Data Platform) / Remote

Austin, TX • On-site

Apetan Consulting llc
IT Services • 1 - 10 employees

$40 - $45/hr

Contractor

Re-posted 14 days ago


Job description

Role: Associate Data Engineer / AWS Developer (Biometric Data Platform)Location: Fremont, CA or Austin, TX – Remote  

Job Overview

We are looking for a Junior/Associate Data Engineer to support the development of an AWS-based data management platform for a Biometric AI R&D team. This is an excellent opportunity for a recent graduate or someone with 3-5 years of experience who is interested in cloud technologies, AI, and data engineering.

Biometric experience is Preferred. The ideal candidate should have a Computer Science or Information Systems background with strong AWS fundamentals and hands-on project experience building cloud-based applications.

Key Responsibilities
  • Build an AWS-based data repository for AI research.
  • Develop and manage data storage using Amazon S3.
  • Design and maintain metadata tracking for datasets.
  • Build simple REST APIs to support internal applications.
  • Organize and prepare datasets for AI/ML engineers.
  • Develop lightweight internal tools for data management.
  • Support cloud application development and data workflows.
Required Skills
  • 3-5 years of experience in software or data engineering.
  • Strong understanding of AWS fundamentals.
  • Experience with Amazon S3.
  • Python programming experience.
  • Basic knowledge of REST APIs.
  • Familiarity with Git/GitHub.
  • Understanding of data management concepts.
  • Strong problem-solving and analytical skills.
  • Knowledge of AWS Lambda, API Gateway, or DynamoDB.
  • Exposure to AI/ML projects.
  • Familiarity with SQL.
  • Personal, academic, or internship projects involving cloud application development.

Preferred Titles

  • Associate Data Engineer
  • Junior Data Engineer
  • Data Engineer I
  • Cloud Data Engineer
  • Data Management Analyst
  • Junior Python Developer
  • Data Platform Associate
Education
  • BS/MS in Computer Science
  • MS in Information Systems
  • MS in Data Engineering
  • MS in Data Science
  • Software Engineering