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Computer Forensics Jobs in Ohio (NOW HIRING)

Nationwide Children's Hospital

$17.25 - $22.75/hr

Overview: The role involves conducting forensic interviews with children who have experienced ... Computer skills, Decision Making, Flexing/extending of neck, Hand use: grasping, gripping, turning ...

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Toxicology Lab Technologist

Dayton, OH

Records all results in an accurate, complete and readable format, utilizes computer systems ... Associate degree in chemistry, toxicology, biochemistry or forensic science required Physical ...

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All JobsComputer Forensics JobsComputer Forensics Jobs in Ohio

Computer Forensics information

See Ohio salary details

$22.4K

$93.9K

$148.1K

How much do computer forensics jobs pay per year?

As of Jul 20, 2026, the average yearly pay for computer forensics in Ohio is $93,938.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,675.00 and $126,605.00 per year, depending on experience, location, and employer.

What can you do with a computer forensics degree?

A computer forensics degree prepares individuals for roles in investigating cybercrimes, analyzing digital evidence, and supporting legal proceedings. Graduates often work as digital forensic analysts, incident responders, or cybersecurity specialists, utilizing tools like EnCase or FTK and obtaining certifications such as GCFA or EnCE to enhance job prospects.

What are some common challenges faced by professionals in computer forensics and how can they be addressed?

Computer forensics professionals often encounter challenges such as dealing with encrypted data, rapidly evolving technology, and maintaining the integrity of digital evidence. Staying current with emerging tools and techniques is crucial, as is meticulous documentation to ensure evidence is admissible in court. Collaboration with law enforcement, legal teams, and IT departments is also essential to overcome technical hurdles and ensure a thorough investigation.

Will AI take over digital forensics?

Computer forensics professionals use AI tools to assist in analyzing large volumes of digital evidence more efficiently. While AI can automate certain tasks, human expertise remains essential for interpretation, decision-making, and handling complex cases in digital forensics.

What is computer forensics?

Computer forensics, also known as digital forensics, is the practice of collecting, analyzing, and preserving digital evidence from computers and other electronic devices. Professionals in this field investigate cybercrimes, recover lost data, and provide evidence for legal cases involving digital information. They use specialized tools and techniques to ensure that the evidence remains authentic and admissible in court. Computer forensics experts often work with law enforcement, government agencies, or private companies to uncover digital footprints and solve technology-related crimes.

What are the key skills and qualifications needed to thrive as a Computer Forensics Specialist, and why are they important?

To thrive as a Computer Forensics Specialist, you need expertise in digital evidence collection, data analysis, and a strong understanding of cybersecurity concepts, often supported by a degree in computer science, cybersecurity, or a related field. Familiarity with forensic tools like EnCase, FTK, and certification such as Certified Computer Examiner (CCE) or GIAC Certified Forensic Analyst (GCFA) is typically required. Analytical thinking, attention to detail, and strong written communication are essential soft skills for accurately interpreting and reporting findings. These skills and qualifications are crucial for ensuring digital evidence is preserved, analyzed, and presented effectively in legal or investigative contexts.

What is the difference between Computer Forensics vs Digital Forensics?

AspectComputer ForensicsDigital Forensics
CertificationsEnCE, GCFAEnCE, GCFA
Work EnvironmentLaw enforcement, corporate security, consultingLaw enforcement, legal, corporate investigations
Industry UsagePrimarily in cybersecurity and law enforcementBroader, including digital crime, legal cases, and incident response

Computer Forensics and Digital Forensics are closely related fields that often overlap. Computer Forensics focuses on analyzing computers and storage devices, while Digital Forensics covers a wider range of digital media and devices. Both roles require similar certifications and are used in law enforcement and corporate settings. The main difference lies in scope: Computer Forensics is more specific to computers, whereas Digital Forensics includes all digital evidence.

Is computer forensics a good career?

Computer forensics is a specialized field within cybersecurity that involves investigating digital crimes and analyzing electronic evidence. It offers strong job growth, competitive salaries, and requires skills in digital tools, programming, and certifications like GCFA or EnCE. The role often involves detailed analysis, report writing, and collaboration with law enforcement or legal teams.

What does a computer forensic do?

A computer forensic professional investigates digital devices to recover, analyze, and preserve electronic evidence for legal or security purposes. They use specialized tools and techniques to examine data, often working closely with law enforcement or legal teams to support investigations and ensure evidence integrity.
What are the most commonly searched types of Computer Forensics jobs in Ohio? The most popular types of Computer Forensics jobs in Ohio are:
What are popular job titles related to Computer Forensics jobs in Ohio? For Computer Forensics jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Computer Forensics jobs in Ohio look for? The top searched job categories for Computer Forensics jobs in Ohio are:
What cities in Ohio are hiring for Computer Forensics jobs? Cities in Ohio with the most Computer Forensics job openings:
Computer Forensics jobs near you
Infographic showing various Computer Forensics job openings in Ohio as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $93,938 per year, or $45.2 per hour.
Forward Deployed Engineer - Databricks - Forensic Discovery & Financial Crime

Forward Deployed Engineer - Databricks - Forensic Discovery & Financial Crime

Deloitte

Cincinnati, OH

Other

Posted 3 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

59th of 148 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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