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Data Forensics Jobs (NOW HIRING)

... forensics, and technical communication. • You will dig into real-world data, determine what it actually means, and translate findings into clear, actionable pipelines ready to drive mission ...

The Forensics Analyst Mid performs hands-on forensic analysis and malware investigation activities ... Analyze Windows Registry, Windows System Calls, Linux artifacts, file system data, logs, and memory ...

In addition to source data, Forensics/eDiscovery practitioners make use of vital properties that must be preserved, such as metadata, time stamps, and change logs, which often provide an electronic ...

Host Forensics Analyst

Arlington, VA · On-site

$131K - $149K/yr

Providing technical assistance on data collection techniques and forensic investigative techniques to appropriate personnel when necessary * Writing in-depth reports, supports with peer reviews and ...

Performs a variety of forensic and electronic discovery services, including digital evidence preservation, forensic analysis, data recovery, tape recovery, electronic mail extraction, and database ...

The role involves forensic data collection, ensuring compliance with regulations, and managing ... Forensics SOPs and regulations. • Conduct full physical extractions whenever possible. • ...

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Data Forensics information

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$35

$67

$84

How much do data forensics jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for data forensics in the United States is $67.61, according to ZipRecruiter salary data. Most workers in this role earn between $59.86 and $76.68 per hour, depending on experience, location, and employer.

What is data forensics?

Data forensics, also known as digital forensics, involves the identification, preservation, analysis, and presentation of electronic data in a way that is legally admissible. Professionals in this field investigate cybercrimes, data breaches, and unauthorized access by collecting digital evidence from computers, networks, and other devices. Their work is crucial for legal proceedings, internal investigations, and ensuring data security. Data forensics experts use specialized tools and techniques to recover, analyze, and document digital evidence while maintaining its integrity.

What are the key skills and qualifications needed to thrive as a data forensics specialist?

To excel as a Data Forensics Specialist, you need expertise in computer science, digital investigations, and a strong understanding of cybersecurity principles, often supported by a relevant degree or certifications like EnCE or GCFA. Familiarity with forensic analysis tools such as EnCase, FTK, and X-Ways, as well as knowledge of operating systems and file systems, is crucial. Attention to detail, analytical thinking, and strong communication skills set top performers apart in this field. These skills are vital for accurately uncovering digital evidence and presenting findings clearly in legal or organizational contexts.

What are some common challenges faced by professionals in data forensics, and how can they be managed?

Data forensics professionals often encounter challenges such as working with incomplete or corrupted data, maintaining strict chain-of-custody protocols, and staying current with rapidly evolving technologies. Managing these challenges requires strong attention to detail, continual learning, and close collaboration with IT, legal, and compliance teams. Additionally, clear documentation and adherence to industry best practices help ensure the integrity and admissibility of digital evidence throughout investigations.

What is the difference between Data Forensics vs Digital Forensics?

AspectData ForensicsDigital Forensics
CertificationsEnCE, GCFAEnCE, GCFA
Work EnvironmentInvestigating data breaches, data recoveryAnalyzing digital devices, computers, mobile devices
Industry UsageIT security, cybersecurity firmsLaw enforcement, legal cases
Search & Comparison IntentData recovery, data breach investigationCybercrime, device analysis

Data Forensics focuses on recovering and analyzing digital data, often related to data breaches or data integrity issues. Digital Forensics encompasses a broader scope, including analyzing digital devices and media for legal or investigative purposes. While overlapping, Data Forensics is more specialized in data recovery, whereas Digital Forensics covers a wider range of digital evidence analysis.

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What cities are hiring for Data Forensics jobs?

Cities with the most Data Forensics job openings:

What states have the most Data Forensics jobs?

States with the most job openings for Data Forensics jobs include:

Infographic showing various Data Forensics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $140,621 per year, or $67.6 per hour.

Data Lead (Defense)

ASI

Colorado Springs, CO • On-site

Full-time

Re-posted 3 days ago


Job description

Job Summary:
Air Space Intelligence is a company focused on delivering mission-critical technology for decision-making across various domains, including defense. The Data Lead will be responsible for managing the data flows that power ASI's defense products, ensuring the operational data is transformed into trusted datasets for critical decision-making.
Responsibilities:
• You will own the reality layer that powers ASI's defense products.
• You will operate, improve, and expand the data flows that move operational data from mission systems into usable, trusted datasets for decision-making.
• This role is equal parts data engineering, data forensics, and technical communication.
• You will dig into real-world data, determine what it actually means, and translate findings into clear, actionable pipelines ready to drive mission-critical decisions for end users.
Qualifications:
Required:
• Strong fluency with modern data engineering tooling and patterns: streaming and batch pipelines, schema evolution, data contracts, and lineage.
• Demonstrated ability to debug data: profiling, anomaly detection, reconciling sources, and separating signal from noise while cross-validating.
• Strong technical communication skills: you can explain what the data is doing, what it means, what is broken, why it matters, and what engineering should change.
• Comfort with distributed messaging and processing (Kafka, Flink, Spark, or equivalents) and modern orchestration (Airflow, Dagster, Temporal, or similar).
• Strong grasp of API design and integration patterns (REST, gRPC, GraphQL) and experience working across a range of data formats and wire-level protocols (JSON, XML, Protobuf, and binary protocols like JREAP-C or CMF-B).
• Working knowledge of modern network protocols, firewalls, system level connections, cross-system authentication, and an enthusiasm to get data flowing.
• Familiarity with defense operational data and mission systems, with an appreciation for delayed reporting, inconsistent identifiers, changing semantics, and obscure edge cases.
• Comfort operating in classified network environments (e.g., SIPR, JWICS) and working within accreditation boundaries (IL5/IL6, ATO processes).
• Experience deploying data infrastructure on Kubernetes and across hybrid cloud and on-prem environments.
• A bias for action and distinct aptitude for problem solving in ambiguous environments.
• Active SECRET or TOP SECRET U.S. Security Clearance.
Company:
ASI is an industry-proven, dual-use software company that enables success for the most complex operations, from critical infrastructure to defense. Founded in 2018, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.