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Digital Evidence Jobs in Ohio (NOW HIRING)

Cscc

Instructional Designer II

Columbus, OH · On-site

$67K/yr

Researches and uses the latest techniques in studio and field video production, digital video capturing and editing, and instructional technology tools. Applies and implements evidence-based ...

Argon Agency

Group Facilitator

Vandalia, OH · On-site

$20 - $22/hr

Facilitate evidence-based curriculum focused on substance use disorders, co-occurring mental health ... Traditional digital marketing was a series of smoke screens, empty promises, one size fits all ...

Aegis Ventures

Compliance Lead

Columbus, OH · On-site +1

$151K/yr

... digital health and artificial intelligence. Our platform brings together market-shaping ideas ... Audit & Evidence Readiness * Coordinate evidence collection, gap assessments, and control testing ...

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Digital Evidence information

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How much do digital evidence jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for digital evidence in Ohio is $21.88, according to ZipRecruiter salary data. Most workers in this role earn between $16.44 and $23.56 per hour, depending on experience, location, and employer.

What is a digital evidence?

A Digital Evidence job involves collecting, analyzing, and preserving electronic data for legal and investigative purposes. Professionals in this field work with law enforcement, government agencies, or private organizations to examine data from computers, mobile devices, and other digital sources. Their role is critical in cybercrime investigations, fraud cases, and legal proceedings. They must ensure the integrity and security of digital evidence while following forensic best practices and legal guidelines.

What are the typical daily responsibilities of a digital evidence?

Professionals in Digital Evidence roles typically analyze and preserve electronic data from computers, mobile devices, and networks as part of investigations. Daily tasks often include collecting, imaging, and examining digital media, drafting detailed forensic reports, and maintaining the chain of custody to ensure evidence integrity. You may also work closely with law enforcement, attorneys, and IT teams to interpret technical findings and provide testimony if required. The job requires a methodical approach and a strong dedication to following legal and procedural standards.

What are the key skills and qualifications needed to thrive in digital evidence, and why are they important?

To thrive in a Digital Evidence role, you typically need expertise in digital forensics, data analysis, and investigative techniques, along with a relevant degree in computer science, criminal justice, or a related field. Familiarity with forensic tools such as EnCase, FTK, Cellebrite, and certifications like Certified Computer Examiner (CCE) or Certified Forensic Computer Examiner (CFCE) are highly valuable. Strong attention to detail, analytical thinking, and clear communication skills help professionals excel when handling sensitive digital data and presenting findings. These skills ensure integrity and accuracy in evidence collection, analysis, and reporting—critical factors for legal investigations and courtroom proceedings.

How do you become a digital evidence investigator?

To become a digital evidence investigator, individuals typically need a background in cybersecurity, computer science, or criminal justice, along with knowledge of digital forensics tools and techniques. Earning certifications such as Certified Computer Examiner (CCE) or EnCase Certified Examiner (EnCE) can enhance job prospects, and experience with law enforcement or cybersecurity environments is often required. Strong analytical skills and attention to detail are essential for handling digital evidence accurately and legally.

Is digital evidence a high paying job?

Digital evidence specialists, such as digital forensic analysts, can earn competitive salaries that vary based on experience, certifications, and location. Entry-level positions typically start with moderate pay, while experienced professionals with certifications like EnCase or CISSP can command higher salaries, especially in government or private sectors. Overall, it is considered a well-paying field within cybersecurity and digital forensics.

What does a digital evidence specialist do?

A digital evidence specialist collects, analyzes, and preserves electronic data for use in investigations and legal proceedings. They use tools like forensic software and follow strict protocols to ensure the integrity of digital evidence, often working closely with law enforcement or legal teams. Certification in digital forensics and knowledge of cybersecurity are common requirements for this role.

What are popular job titles related to Digital Evidence jobs in Ohio?

For Digital Evidence jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Digital Evidence jobs in Ohio look for?

The top searched job categories for Digital Evidence jobs in Ohio are:

Digital Evidence jobs near you
Infographic showing various Digital Evidence job openings in Ohio as of August 2026, with employment types broken down into 88% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $45,520 per year, or $21.9 per hour.

Data Architect - Team Lead

ARCTOS Technology Solutions

Beavercreek, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

ARCTOS Technology Solutions, LLC

arctos-us.com/careers/



OVERVIEW

Reach New Heights!


ARCTOS Technology Solutions, LLC (ARCTOS) is a fast-growing, technology-oriented small business providing aerospace, defense, and digital solutions, with offices and work sites across the United States. We’re looking for team-oriented innovators eager to tackle interesting challenges, work on important problems, and receive great benefits and employee support.


REQUIREMENT

ARCTOS is seeking a technical leader to establish and lead a new Integrated Data and Engineering Analytics (IDEA) team supporting a portfolio of structures and materials R&D and technology programs within the Aerospace Structures & Materials Department. The team will develop programmatic and technical architectures, analytical capabilities, digital engineering methods, and technical workforce required to transform diverse engineering and programmatic data into connected, traceable, and decision-ready knowledge.

The Team Lead will define the vision and technical architecture for this capability while building a multidisciplinary team to execute it. The successful candidate must be able to think strategically about what an integrated engineering intelligence environment should look like three to five years from now while remaining willing and able to work directly with engineers, scientists, software developers, program managers, and customers to solve today's problems.


PRIMARY RESPONSIBILITIES

Technical Vision & Architecture

  • Establish a three-to-five-year vision and technical roadmap for Integrated Data and Engineering Analytics.
  • Define and implement scalable architectures for integrating engineering data, models, digital engineering environments, programmatic information, and analytical capabilities.
  • Balance immediate program requirements with development of reusable organizational capabilities and new areas of business growth
  • Evaluate emerging technologies and identify opportunities that improve engineering analysis and program decision-making.

Engineering Data & Digital Integration

  • Establish methods for organizing, connecting, querying, and analyzing heterogeneous engineering information.
  • Define and implement approaches for metadata, provenance, traceability, configuration management, APIs, data pipelines, and authoritative data sources.
  • Integrate experimental data, materials information, computational models, requirements, and analytical results.
  • Connect engineering information with MBSE, PLM, MDAO, simulation workflows, and other digital engineering environments.

Engineering Analytics & AI/ML

  • Develop capabilities for extracting engineering insight from complex and heterogeneous datasets.
  • Apply statistical analysis, data fusion, visualization, machine learning, AI, surrogate modeling, and predictive analytics where they provide engineering value.
  • Combine experimental and computational information to improve models, quantify uncertainty, identify trends, and reduce technical risk.
  • Ensure analytical approaches maintain appropriate physical interpretation, validation, traceability, and engineering credibility.

Program Decision Analytics

  • Connect technical performance and engineering evidence with program cost, schedule, milestones, technical objectives, readiness, and risk.
  • Develop analytical approaches that allow technical and program leadership to understand how evolving engineering results affect program execution.
  • Identify emerging technical risks, dependencies, opportunities, and decision points.
  • Support quantitative, evidence-based risk management by connecting program risks to underlying engineering data, models, assumptions, and uncertainties.
  • Develop decision environments that allow engineers, program managers, and customers to evaluate technical and programmatic information within a common context.

Applications, Team Development & Customer Solutions

  • Lead development of engineering applications, dashboards, visualization environments, and decision-support tools.
  • Build and lead a multidisciplinary Integrated Data and Engineering Analytics team as program needs grow.
  • Develop strong partnerships with structures, materials, modeling and simulation, test, systems engineering, program management, and other technical organizations.
  • Engage government and industry customers to identify emerging engineering intelligence and digital engineering requirements.
  • Translate customer challenges into technical concepts, architectures, demonstrations, proposals, and executable programs.

 

KNOWLEDGE AND SKILLS

  • Understanding of modern data architectures, metadata management, APIs, data pipelines, databases, cloud computing, and engineering data integration.
  • Experience integrating engineering software, models, databases, and analytical workflows.
  • Understanding configuration management, provenance, traceability, reproducibility, model validation, and uncertainty.
  • Ability to understand relationships among technical performance, program objectives, cost, schedule, uncertainty, and risk.
  • Demonstrated ability to communicate and lead across engineering, software/data, program management, and customer organizations.
  • Demonstrated ability to translate broad technical vision into practical and executable solutions.

Experience in several of the following areas is desirable: hypersonic R&D, aerospace structures and materials; experimental or computational mechanics; engineering test and measurement; finite element or multi-physics simulation; digital engineering and digital threads; MBSE/SysML; PLM; MDAO; cloud architectures; knowledge graphs and semantic architectures; data science and machine learning/artificial intelligence; model validation and uncertainty quantification; scientific computing; program decision analytics; and technical risk management.

EDUCATIONAL, CLEARANCE AND CERTIFICATION

  • Bachelor's degree in aerospace engineering, mechanical engineering, computer science, computational science, systems engineering, data science, or a related technical field; advanced degree preferred.
  • 5+ years of relevant technical experience with demonstrated technical and/or programmatic leadership.
  • Experience developing data architectures, software environments, digital engineering capabilities, or analytical solutions supporting engineering or scientific applications.
  • Experience working with complex engineering data such as experimental measurements, materials characterization, sensor data, computational simulations, or model-generated information.
  • US Citizenship is required.

PHYSICAL/WORKING ENVIRONMENT

  • Primary work environment is a standard office setting.


TRAVEL

  • Occasional travel is anticipated and will be performed under the guidelines of Federal Travel Regulations and/or Joint Travel Regulations.


BENEFITS

401(k) Retirement Plan with Company Matching; Health Insurance & HSA; Dental & Vision Insurance; Company Paid Life Insurance, AD&D and Short-Term Disability; Paid Time Off, Volunteer Time Off; Employee Assistance Program




In compliance with pay transparency requirements, the salary range is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location.

 

 

ARCTOS and its subsidiaries are an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.  We look forward to reviewing your application!