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Forensic Jobs in Oregon (NOW HIRING)

Aviva Health

Designated Medical Provider

Roseburg, OR · On-site

Medical-Forensic Care Perform pediatric sexual assault medical-forensic examinations (P-SANE exams) in accordance with national best practices, CAC standards, and state/federal guidelines. Provide ...

Aviva Health

Designated Medical Provider

Roseburg, OR · On-site

Medical-Forensic Care • Perform pediatric sexual assault medical-forensic examinations (P-SANE exams) in accordance with national best practices, CAC standards, and state/federal guidelines. • ...

Blueprint Hires

Waterproofing Consultant

Portland, OR · On-site

Technical responsibilities may include forensic investigation, organization of forensic data, code research, architectural package preparation, and providing expert witness testimony in mediations ...

BerryDunn

Medicaid Program Integrity Senior Consultant

$115K - $116K/yr

You will perform claims audits, document findings, and conduct forensic reviews and investigations investigative activities related to Medicaid medical, dental, behavioral health, pharmacy claims, as ...

City of Virginia Beach

$68K - $105K/yr

Provide comprehensive assessments for Forensic individuals with chronic mental illness and co-occurring disorders to determine services and supports needed topromote safety and stability in the ...

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All JobsForensic JobsForensic Jobs in Oregon

Forensic information

See Oregon salary details

$27K

$64.7K

$99.9K

How much do forensic jobs pay per year?

As of Aug 10, 2026, the average yearly pay for forensic in Oregon is $64,659.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,100.00 and $73,000.00 per year, depending on experience, location, and employer.

What is a forensic scientist?

Forensic scientists are professionals who apply scientific principles and techniques to analyze physical evidence from crime scenes. Their work helps law enforcement agencies investigate crimes by identifying, collecting, and examining evidence such as fingerprints, DNA, and trace materials. Forensic scientists often specialize in areas like toxicology, biology, or digital forensics, and their findings may be presented in court as expert testimony. Their expertise is crucial in solving crimes and ensuring justice is served.

How do I start a career in forensic?

To start a career in forensic science, obtain a relevant bachelor's degree in fields such as criminal justice, biology, or chemistry. Gaining laboratory experience, developing strong analytical skills, and earning certifications like the American Board of Criminalistics can improve job prospects. Entry-level positions often require background checks and adherence to legal and ethical standards.

What are the qualifications to get a forensic job?

The qualifications to get a job in this field vary by career. A crime scene investigator, evidence photographer, data analyst, accountant, computer expert, and medical examiner can all be considered forensic roles. Crime scene photographers are often police officers with some postsecondary education who have the skills to photograph evidence. Lab analysts typically have a bachelor’s degree in forensic science, chemistry, or a closely related field, although advanced degrees are available. Computer and accounting investigators (whose responsibilities are to analyze financial data or other digital evidence) should have a background in IT, statistics, or accounting. In addition to education and formal training, strong analytical thinking and an interest in criminal justice are important in this field.

What is the difference between Forensic vs Crime Scene Technician?

AspectForensicCrime Scene Technician
Required CredentialsForensic science degree, certifications in forensic analysisHigh school diploma or associate degree, on-the-job training
Work EnvironmentLaboratories, crime labs, courtroomsCrime scenes, outdoor and indoor locations
Employer & IndustryLaw enforcement agencies, forensic labsPolice departments, crime scene units

Forensic professionals typically hold specialized degrees and certifications, working mainly in labs and courtrooms. Crime Scene Technicians focus on collecting evidence at crime scenes, often with less formal education. Both roles are essential in criminal investigations but differ in work setting and qualifications.

What kind of jobs are there in forensic?

Forensic jobs include roles such as forensic scientist, crime scene investigator, forensic analyst, and forensic technician. These positions involve collecting, analyzing, and presenting evidence, often requiring knowledge of laboratory techniques, evidence handling, and certification in forensic science or related fields.

What are the key skills and qualifications needed to thrive as a forensic scientist, and why are they important?

To thrive as a Forensic Scientist, you need a strong background in chemistry, biology, or a related field, typically supported by a relevant degree and laboratory experience. Familiarity with analytical instruments, forensic databases, and specialized software such as chromatography and DNA analysis tools is essential. Attention to detail, critical thinking, and effective communication are standout soft skills in this role. These competencies ensure accurate evidence analysis and clear reporting, which are vital for supporting criminal investigations and judicial processes.

What are some common challenges faced by forensic professionals when working on criminal investigations?

Forensic professionals often encounter challenges such as managing large volumes of complex evidence, maintaining strict chain of custody protocols, and working under tight deadlines to provide timely results. They must also stay updated on evolving forensic technologies and adhere to rigorous ethical standards to ensure the integrity of their analyses. Collaboration with law enforcement, attorneys, and sometimes testifying in court can add additional pressure, making strong communication skills and attention to detail essential for success in the field.
More about Forensic jobs
What are the most commonly searched types of Forensic jobs in Oregon? The most popular types of Forensic jobs in Oregon are:
What are popular job titles related to Forensic jobs in Oregon? For Forensic jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Forensic jobs in Oregon look for? The top searched job categories for Forensic jobs in Oregon are:
What cities in Oregon are hiring for Forensic jobs? Cities in Oregon with the most Forensic job openings:
Forensic jobs near you
Infographic showing various Forensic job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 66% Full Time, 22% Part Time, 1% Temporary, and 10% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $64,659 per year, or $31.1 per hour.

Forward Deployed Engineer - Databricks - Forensic Discovery & Financial Crime

Deloitte

Portland, OR

Full-time

Re-posted 24 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th 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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