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Forensic Tech Jobs in Portland, OR (NOW HIRING)

Ankura

Director, eDiscovery

Vancouver, WA · Hybrid

Exposure to cutting-edge technology and methodologies in the field of digital forensics and eDiscovery. * A supportive team that fosters professional growth and development. Requirements: * BA/BS in ...

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All JobsForensic Tech JobsForensic Tech Jobs in Portland, OR

Forensic Tech information

See Portland, OR salary details

$27K

$64.9K

$100.2K

How much do forensic tech jobs pay per year?

As of Aug 4, 2026, the average yearly pay for forensic tech in Portland, OR is $64,856.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,300.00 and $73,200.00 per year, depending on experience, location, and employer.

How much do forensic technicians make?

Forensic technicians typically earn a median annual salary of around $60,000, with salaries ranging from approximately $40,000 to $80,000 depending on experience, location, and certifications. Entry-level positions may start lower, while experienced technicians or those with specialized skills can earn higher wages.

What degree do I need to be a forensic tech?

To become a forensic technician, a high school diploma or equivalent is the minimum requirement, but most employers prefer candidates with an associate's or bachelor's degree in forensic science, criminal justice, biology, chemistry, or a related field. Relevant skills include laboratory techniques, attention to detail, and familiarity with forensic tools and procedures.

Is it hard to get a job as a forensic technician?

Securing a position as a forensic technician can be competitive due to specialized skills required, such as knowledge of crime scene investigation, evidence collection, and laboratory analysis. Candidates often need relevant education, certifications, and experience, which can influence the difficulty of obtaining the job.

What is the difference between Forensic Tech vs Crime Scene Investigator?

AspectForensic TechCrime Scene Investigator
Required CredentialsHigh school diploma or associate's degree; certifications like ASQ or FEPBachelor's degree often preferred; certifications like CSCSA
Work EnvironmentLaboratory settings, processing evidenceOn-site at crime scenes, outdoor and indoor environments
Employer & IndustryLaw enforcement agencies, forensic labsPolice departments, law enforcement agencies
Common Search & ComparisonOften compared for evidence processing rolesFocuses on scene investigation

Forensic Techs primarily work in laboratories, analyzing evidence collected from crime scenes, while Crime Scene Investigators are responsible for visiting crime scenes, collecting evidence, and documenting the scene. Both roles are essential in forensic investigations but differ in work environment and specific duties.

What are the key skills and qualifications needed to thrive as a forensic tech?

To thrive as a Forensic Tech, you need a solid background in laboratory sciences, evidence handling, and crime scene investigation, often supported by a degree in forensic science or a related field. Familiarity with laboratory equipment, forensic software, and chain-of-custody protocols is typically required. Attention to detail, analytical thinking, and strong written communication help you excel when documenting evidence and testifying in legal settings. These competencies are crucial for ensuring the integrity and admissibility of forensic evidence in criminal investigations.

What is a forensic tech?

Forensic techs, also known as forensic science technicians, are professionals who assist in criminal investigations by collecting, analyzing, and preserving physical evidence from crime scenes. They work closely with law enforcement to document and process evidence such as fingerprints, biological samples, and digital data. Their work is crucial in helping to solve crimes, ensure the integrity of evidence, and sometimes testify in court regarding their findings.

What are some common challenges faced by forensic techs when processing crime scenes?

Forensic Techs often encounter challenges such as working in high-pressure environments, preserving the integrity of evidence, and meticulously documenting every step to ensure legal admissibility. They must be detail-oriented to avoid contamination and aware of chain-of-custody procedures. Additionally, Forensic Techs frequently collaborate with law enforcement and other specialists, requiring strong communication skills and adaptability to various crime scene conditions.
What are popular job titles related to Forensic Tech jobs in Portland, OR? For Forensic Tech jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Forensic Tech jobs in Portland, OR look for? The top searched job categories for Forensic Tech jobs in Portland, OR are:
Forensic Tech jobs near you
Infographic showing various Forensic Tech job openings in Portland, OR as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $64,856 per year, or $31.2 per hour.

Forward Deployed Engineer - Databricks - Forensic Discovery & Financial Crime

Deloitte

Portland, OR • On-site

Other

Re-posted 18 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

57th of 150 rated financial services

Job description

Senior Consultant - Forward Deployed Engineer (FDE) - Databricks

Forward Deployed Engineers at Deloitte work alongside clients to help turn artificial intelligence opportunities into scalable business solutions. As a Senior Consultant - Forward Deployed Engineer (FDE), you will design, build, and implement AI-enabled applications and data solutions in enterprise environments. This role combines software engineering, data engineering, and client-facing delivery to help move solutions from concept to production. If you can translate technical complexity into business value, this role offers the opportunity to help clients accelerate adoption of generative AI capabilities.

Recruiting for this role ends on 9/30/2026

Work you'll do

As a Senior Consultant - Forward Deployed Engineer (FDE) - Databricks on the Forensic, Discovery, & Financial Crime team, you will be responsible for designing, deploying, and scaling AI-enabled solutions that help clients address complex business and technology needs.

  • Collaborate with client stakeholders to define business needs, operational constraints, priority use cases, and measurable success criteria.
  • Design, build, and integrate AI-enabled applications, application programming interfaces (APIs), machine learning models, data pipelines, and microservices tailored to client environments.
  • Use AI-assisted development workflows to accelerate delivery while maintaining code quality, security, and maintainability.
  • Lead implementation activities required to move solutions into production, including architecture, security, privacy, and access reviews.
  • Troubleshoot technical and integration issues and optimize performance across Databricks and cloud-based enterprise environments.
  • Create reusable assets, document workflows and support processes, and help client teams build the capabilities needed to sustain and extend delivered solutions.

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 provide clear guidance to others

The team

Our Forensic, Discovery, & Financial Crime offering provides services to support anti-money laundering, discovery, business disputes, and investigations. We help protect brands from financial crime and other corporate misconduct, as well as empower organizations with advanced tradecraft and technology to combat emerging and evolving threats.

Qualifications

Required:

  • Bachelor's degree, or equivalent experience, in Computer Science, Data Science, Engineering, or a related field
  • 3+ years of experience in software engineering, data engineering, data science, analytics engineering, or technical delivery roles, with experience in Amazon Web Services (AWS), Microsoft Azure, Google Cloud, or comparable cloud platform services
  • 1+ years of experience with Databricks, including hands-on experience with one or more of the following: DBRX, MLflow, Vector Search, or Databricks AI Gateway
  • 1+ years of experience leading project workstreams or client engagements, including translating business requirements into technical solutions and aligning delivery priorities with stakeholders
  • 1+ years of hands-on experience building and deploying artificial intelligence (AI), generative artificial intelligence (GenAI), or large language model (LLM)-powered solutions in client or production environments
  • Demonstrated proficiency building and shipping production code with AI-assisted development tools, including the judgment to direct, review, and correct AI-generated output and to maintain engineering guardrails such as code review, testing, type checking, and linting
  • Experience presenting, defending, and iterating on technical designs and architectures with client and internal stakeholders, and incorporating feedback through to delivery
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • Experience supporting anti-money laundering (AML), fraud, financial crime, investigations, or compliance technology use cases
  • Experience with Spark, Airflow, dbt, streaming, data modeling, feature engineering, experimentation, or model evaluation
  • Experience with machine learning operations (MLOps) or large language model operations (LLMOps), including evaluation frameworks, model monitoring, or prompt management
  • Experience integrating LLM-based solutions with enterprise systems through APIs, microservices, or event-driven architectures
  • Experience delivering software within enterprise security and compliance processes, such as security and architecture design reviews, data and privacy impact assessments, and identity and access management
  • Working knowledge of how modern large language models behave in applications, including tool and function calling, structured outputs, evaluation of model outputs, and the trade-offs between generative and deterministic approaches

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

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 $134500 to $265100.

Qualifications:

Senior Consultant - Forward Deployed Engineer (FDE) - Databricks

Forward Deployed Engineers at Deloitte work alongside clients to help turn artificial intelligence opportunities into scalable business solutions. As a Senior Consultant - Forward Deployed Engineer (FDE), you will design, build, and implement AI-enabled applications and data solutions in enterprise environments. This role combines software engineering, data engineering, and client-facing delivery to help move solutions from concept to production. If you can translate technical complexity into business value, this role offers the opportunity to help clients accelerate adoption of generative AI capabilities.

Recruiting for this role ends on 9/30/2026

Work you'll do

As a Senior Consultant - Forward Deployed Engineer (FDE) - Databricks on the Forensic, Discovery, & Financial Crime team, you will be responsible for designing, deploying, and scaling AI-enabled solutions that help clients address complex business and technology needs.

  • Collaborate with client stakeholders to define business needs, operational constraints, priority use cases, and measurable success criteria.
  • Design, build, and integrate AI-enabled applications, application programming interfaces (APIs), machine learning models, data pipelines, and microservices tailored to client environments.
  • Use AI-assisted development workflows to accelerate delivery while maintaining code quality, security, and maintainability.
  • Lead implementation activities required to move solutions into production, including architecture, security, privacy, and access reviews.
  • Troubleshoot technical and integration issues and optimize performance across Databricks and cloud-based enterprise environments.
  • Create reusable assets, document workflows and support processes, and help client teams build the capabilities needed to sustain and extend delivered solutions.

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 provide clear guidance to others

The team

Our Forensic, Discovery, & Financial Crime offering provides services to support anti-money laundering, discovery, business disputes, and investigations. We help protect brands from financial crime and other corporate misconduct, as well as empower organizations with advanced tradecraft and technology to combat emerging and evolving threats.

Qualifications

Required:

  • Bachelor's degree, or equivalent experience, in Computer Science, Data Science, Engineering, or a related field
  • 3+ years of experience in software engineering, data engineering, data science, analytics engineering, or technical delivery roles, with experience in Amazon Web Services (AWS), Microsoft Azure, Google Cloud, or comparable cloud platform services
  • 1+ years of experience with Databricks, including hands-on experience with one or more of the following: DBRX, MLflow, Vector Search, or Databricks AI Gateway
  • 1+ years of experience leading project workstreams or client engagements, including translating business requirements into technical solutions and aligning delivery priorities with stakeholders
  • 1+ years of hands-on experience building and deploying artificial intelligence (AI), generative artificial intelligence (GenAI), or large language model (LLM)-powered solutions in client or production environments
  • Demonstrated proficiency building and shipping production code with AI-assisted development tools, including the judgment to direct, review, and correct AI-generated output and to maintain engineering guardrails such as code review, testing, type checking, and linting
  • Experience presenting, defending, and iterating on technical designs and architectures with client and internal stakeholders, and incorporating feedback through to delivery
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • Experience supporting anti-money laundering (AML), fraud, financial crime, investigations, or compliance technology use cases
  • Experience with Spark, Airflow, dbt, streaming, data modeling, feature engineering, experimentation, or model evaluation
  • Experience with machine learning operations (MLOps) or large language model operations (LLMOps), including evaluation frameworks, model monitoring, or prompt management
  • Experience integrating LLM-based solutions with enterprise systems through APIs, microservices, or event-driven architectures
  • Experience delivering software within enterprise security and compliance processes, such as security and architecture design reviews, data and privacy impact assessments, and identity and access management
  • Working knowledge of how modern large language models behave in applications, including tool and function calling, structured outputs, evaluation of model outputs, and the trade-offs between generative and deterministic approaches

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

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 $134500 to $265100.

Education:Bachelor's DegreeEmployment Type:

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