ZipRecruiter

Log In

1

Computer Forensics Analyst Jobs in Gilbert, AZ (NOW HIRING)

Osaic

Incident Responder II

Scottsdale, AZ · Hybrid

$75K - $94K/yr

... Analysis * Track security alerts and logs from both Windows and Linux platforms. * Perform forensic ... Bachelor's degree in Cybersecurity, Information Technology, Computer Science or related field.

Kingdom Structural LLC

Engineer

Mesa, AZ · On-site

Use computer-aided design (CAD) software and other tools for structural analysis and modeling ... Prepare engineering reports for due diligence, condition assessments, and forensic evaluations when ...

Bingham Engineering Consultants

Be Seen First

Project Engineer Structural

Phoenix, AZ · Remote

$70K - $100K/yr

... forensic observations of damaged structures and more. We are able to provide our clients with ... State reciprocity will be considered. - Excellent mathematical, computer, analytical, detail ...

Wells Fargo

Senior Information Security Engineer

Chandler, AZ · On-site

$104K - $142K/yr

Lead or participate in computer security incident response activities for moderately complex events ... Conduct technical investigation of security related incidents and post incident digital forensics ...

previous page

Showing results 21-36

All JobsComputer Forensics Analyst JobsComputer Forensics Analyst Jobs in Gilbert, AZ

Computer Forensics Analyst information

See Gilbert, AZ salary details

$64.8K

$101.3K

$155.5K

How much do computer forensics analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for computer forensics analyst in Gilbert, AZ is $101,347.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,800.00 and $121,600.00 per year, depending on experience, location, and employer.

What does a computer forensics analyst do?

A Computer Forensics Analyst is a cybersecurity professional who investigates digital devices and networks to uncover evidence of crimes or security breaches. They collect, analyze, and preserve data from computers, mobile devices, and other digital storage media, ensuring that the evidence remains admissible in court. These analysts often work with law enforcement agencies, legal teams, or private companies to identify how cybercrimes occurred and to help prevent future incidents.

What are the key skills and qualifications needed to thrive as a computer forensics analyst, and why are they important?

To thrive as a Computer Forensics Analyst, you need a solid understanding of cybersecurity principles, computer systems, and digital evidence handling, often supported by a degree in computer science, cybersecurity, or a related field. Proficiency in forensic tools like EnCase, FTK, and familiarity with operating systems, as well as certifications such as GIAC Certified Forensic Analyst (GCFA) or Certified Computer Examiner (CCE), are typically required. Attention to detail, analytical thinking, and strong written communication skills help analysts effectively investigate incidents and present findings. These competencies are crucial for accurately uncovering digital evidence, supporting legal processes, and maintaining the integrity of investigations.

What are some common challenges faced by computer forensics analysts during investigations?

Computer Forensics Analysts often encounter challenges such as dealing with encrypted or deleted data, rapidly evolving technology, and maintaining the integrity of digital evidence. They must also ensure that their investigative methods comply with legal and regulatory standards to ensure evidence is admissible in court. Additionally, analysts frequently work under tight deadlines and may need to collaborate closely with law enforcement, legal teams, and IT departments to piece together complex digital trails.

What does a computer forensics analyst do?

As a computer forensics analyst, your duties focus on investigating electronic data and digital devices for law enforcement purposes. Your responsibilities include obtaining, accessing, and analyzing data from hard drives, emails, smartphones, and tablets. In this career, you may investigate cyber crimes (which take place on the internet) or gather digital evidence for other types of criminal investigations. In addition to collecting information, you retrieve data that someone destroyed, deleted, or obscured to hide evidence of a crime. Computer forensic analysts work for law enforcement agencies, private contractors, lawyers, or corporations. Some computer experts work on a freelance basis.

What is the difference between Computer Forensics Analyst vs Digital Forensics Specialist?

AspectComputer Forensics AnalystDigital Forensics Specialist
CertificationsEnCE, GCFAEnCE, GCFA
Work EnvironmentLaw enforcement, corporate security, consulting firmsLaw enforcement, government agencies, private sector
Industry UsageCommonly used in investigations and legal casesUsed in incident response and cybersecurity investigations

Both roles involve analyzing digital evidence, often requiring similar certifications like EnCE and GCFA. The main difference lies in their focus: Computer Forensics Analysts typically work on legal cases and investigations, while Digital Forensics Specialists often focus on incident response and cybersecurity threats. Both roles are vital in digital security and forensics fields, with overlapping skills and work environments.

More about Computer Forensics Analyst jobs
What are popular job titles related to Computer Forensics Analyst jobs in Gilbert, AZ? For Computer Forensics Analyst jobs in Gilbert, AZ, the most frequently searched job titles are:
What job categories do people searching Computer Forensics Analyst jobs in Gilbert, AZ look for? The top searched job categories for Computer Forensics Analyst jobs in Gilbert, AZ are:
What cities near Gilbert, AZ are hiring for Computer Forensics Analyst jobs? Cities near Gilbert, AZ with the most Computer Forensics Analyst job openings:
Computer Forensics Analyst jobs near you
Infographic showing various Computer Forensics Analyst job openings in Gilbert, AZ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $101,347 per year, or $48.7 per hour.

Forward Deployed Engineer - Databricks - Forensic Discovery & Financial Crime

Deloitte

Tempe, AZ

Other

Re-posted 21 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:

What Deloitte employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply