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Data Scanning Jobs in Georgia (NOW HIRING)

Role responsibilities will touch on a range of governance activities, including data catalog, glossary, lineage, classifications, policies, collections, scans, and security; AI assessment and posture ...

Role responsibilities will touch on a range of governance activities, including data catalog, glossary, lineage, classifications, policies, collections, scans, and security; AI assessment and posture ...

Showing results 41-60

Data Scanning information

What is data scanning?

Data scanning is the process of systematically reviewing and analyzing large sets of data to identify, extract, or verify specific information. This can involve using automated tools to search databases, documents, or digital storage for patterns, errors, or sensitive data. Data scanning is commonly used for data management, compliance, and security purposes, helping organizations ensure data accuracy and protect confidential information.

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

To thrive as a Data Scanning Specialist, you need attention to detail, basic computer literacy, and familiarity with document management practices, often supported by a high school diploma or equivalent. Proficiency with scanning hardware, document imaging software, and digital archiving systems is typically required. Strong organizational skills, reliability, and the ability to maintain data confidentiality make someone stand out in this position. These skills and qualities are crucial to ensure accurate digitization, secure data handling, and efficient workflow within organizations.

What are some common challenges faced by professionals in data scanning roles, and how can they be addressed?

Data Scanning professionals often encounter challenges such as handling large volumes of documents, ensuring high accuracy in digitization, and maintaining the confidentiality of sensitive information. To address these, it's important to develop strong attention to detail, follow established scanning protocols, and utilize quality control checks. Working closely with IT and data management teams also helps ensure that digital files are properly organized and securely stored, which supports efficient retrieval and compliance with data privacy standards.

What is the difference between Data Scanning vs Data Entry?

AspectData ScanningData Entry
Required SkillsUse of scanning devices, OCR technology, basic computer skillsTyping, data input, attention to detail
Work EnvironmentWarehouse, office, or remote with scanning equipmentOffice or remote computer setup
Common CertificationsNone typically required, but OCR or scanning device training helpfulTyping speed certifications, data entry courses
Employer & Industry UsageLogistics, healthcare, retail, manufacturingAdministrative, finance, healthcare, retail

Data Scanning involves using scanning devices and OCR technology to convert physical documents into digital formats, often in logistics or healthcare settings. Data Entry focuses on manually inputting data into systems, common in administrative and office environments. While both roles require attention to detail, Data Scanning emphasizes technical device operation, whereas Data Entry centers on manual typing skills.

Do data scanning jobs really pay?

Data scanning jobs typically offer hourly wages that range from minimum wage to moderate pay rates, depending on the employer and location. These roles often require basic computer skills and attention to detail, and pay can vary based on experience and the complexity of tasks involved.

What is a data scanning specialist?

A data scanning specialist is a professional responsible for converting physical or digital documents into electronic formats using scanning equipment and software. They ensure data accuracy, manage file organization, and may use tools like OCR (Optical Character Recognition) to extract information efficiently. This role often requires attention to detail and familiarity with data management systems.

What skills are needed for data scanning?

Data scanning requires strong attention to detail, good organizational skills, and proficiency with scanning equipment and data management software. Basic computer literacy and the ability to follow instructions are also important for accuracy and efficiency in the role.

What are the most commonly searched types of Data Scanning jobs in Georgia?

The most popular types of Data Scanning jobs in Georgia are:

What are popular job titles related to Data Scanning jobs in Georgia?

For Data Scanning jobs in Georgia, the most frequently searched job titles are:

What cities in Georgia are hiring for Data Scanning jobs?

Cities in Georgia with the most Data Scanning job openings:

Infographic showing various Data Scanning job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 11% Part Time, 7% Contract, and 3% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Cloud Vulnerability Management Engineer (Onsite Hybrid)

NTT DATA Services

Atlanta, GA • On-site

$53.50 - $71.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


NTT Data rating

7.5

Company rating: 7.5 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

110th of 226 rated it services


Job description

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Cloud Vulnerability Management Engineer (Onsite Hybrid) to join our team in Atlanta, Georgia (US-GA), United States (US).
Technology Focus: Hybrid Cloud / Azure / AWS / Apache Spark
Role Focus: Cloud Vulnerability Management / DevSecOps / Cloud Security
Job Responsibilities Include:
  • Manage the end-to-end vulnerability management lifecycle for enterprise applications and infrastructure hosted across hybrid cloud, Microsoft Azure, and AWS environments.
  • Analyze vulnerability scan results and identify security vulnerabilities affecting cloud infrastructure, operating systems, containers, application dependencies, open-source libraries, and cloud-hosted data platforms.
  • Perform vulnerability assessment and prioritization based on CVE/CVSS severity, exploitability, application criticality, external exposure, and overall business risk.
  • Work closely with Application Development, Cloud Engineering, DevOps, SRE, Infrastructure, and Cybersecurity teams to define and execute vulnerability remediation plans.
  • Support identification and remediation of vulnerabilities across AWS and Azure cloud services, Linux/Windows servers, Kubernetes, containers, Docker images, Java applications, and open-source components.
  • Support vulnerability management for Apache Spark-based applications and data-processing platforms, including Spark runtime versions, Java/JVM dependencies, libraries, packages, and associated cloud infrastructure.
  • Work with engineering teams to troubleshoot the technical root cause of vulnerabilities and recommend appropriate remediation, including patching, dependency upgrades, configuration changes, infrastructure changes, or compensating controls.
  • Validate successful remediation through rescanning, technical verification, and security evidence collection.
  • Track Critical and High vulnerabilities against established remediation SLAs and proactively escalate overdue vulnerabilities, blockers, and risks.
  • Identify recurring vulnerability patterns and recommend systemic solutions and preventive controls to reduce repeat findings.
  • Integrate vulnerability and security scanning into CI/CD and DevSecOps pipelines, enabling earlier identification of vulnerabilities during the software development lifecycle.
  • Support cloud security posture assessments and remediation of configuration weaknesses across Azure, AWS, and hybrid-cloud environments.
  • Develop scripts and automation to improve vulnerability identification, remediation tracking, validation, reporting, and compliance evidence collection.
  • Create dashboards and reports covering open vulnerabilities, remediation aging, SLA compliance, risk acceptance, remediation trends, and vulnerability reduction.
  • Participate in vulnerability governance and operational review meetings and communicate technical risks, remediation status, dependencies, and blockers to engineering and management stakeholders.

Basic Qualifications:
  • Minimum 7+ years of experience in IT engineering, Cloud Engineering, DevOps/SRE, Cybersecurity, Application Security, or Vulnerability Management within enterprise environments.
  • Minimum 4+ years of hands-on experience in Vulnerability Management / Application Security / Cloud Security, including vulnerability analysis, prioritization, remediation, and validation.
  • Minimum 4+ years of experience working with public cloud technologies, with strong hands-on knowledge of AWS and/or Microsoft Azure.
  • Minimum 2+ years of experience supporting hybrid-cloud or multi-cloud environments, preferably involving application migration or transformation between Azure and AWS.
  • Minimum 3+ years of experience using enterprise vulnerability/security platforms such as Qualys, Tenable, Rapid7, Wiz, Prisma Cloud, Microsoft Defender for Cloud, AWS Inspector, or comparable tools.
  • Minimum 3+ years of experience analyzing and remediating CVE/CVSS-based vulnerabilities, including operating-system vulnerabilities, application dependencies, open-source libraries, containers, and cloud infrastructure.
  • Minimum 2+ years of experience supporting security or vulnerability management for Apache Spark, Databricks, EMR, Hadoop, or similar large-scale data-processing platforms.
  • Minimum 2+ years of experience working with Java/JVM applications and open-source dependency vulnerability remediation, including upgrading vulnerable libraries and packages.
  • Minimum 2+ years of experience working with containers and container orchestration technologies such as Docker and Kubernetes, including container/image vulnerability management.
  • Minimum 2+ years of experience with CI/CD and DevSecOps technologies such as GitLab CI, GitHub Actions, Jenkins, Azure DevOps, or comparable platforms.
  • Minimum 2+ years of experience integrating or working with security controls such as SAST, DAST, Software Composition Analysis (SCA), container scanning, secrets scanning, and Infrastructure-as-Code scanning.
  • Minimum 2+ years of experience with scripting or automation using Python, Bash, PowerShell, or equivalent technologies.

Preferred Skills:
  • Strong understanding of AWS and Azure security concepts, including IAM/access controls, cloud configuration, network security, logging/monitoring, and cloud security posture management.
  • Strong knowledge of vulnerability-management concepts including CVE, CVSS, risk-based prioritization, patch management, vulnerability SLAs, remediation validation, security exceptions, and risk acceptance.
  • Strong analytical, troubleshooting, and communication skills with the ability to translate security findings into actionable technical remediation for engineering teams.

Travel:
  • This position may require occasional travel based on client and project requirements.

Degree:
  • Bachelor's degree in Computer Science, Information Technology, Cybersecurity, Engineering, or equivalent work experience.

Nice to Have:
  • Experience working in Banking, Financial Services, or other highly regulated enterprise environments.
  • Experience securing enterprise data platforms utilizing Apache Spark, Databricks, AWS EMR, Kafka, Hadoop, or related technologies.
  • Experience with cloud security services including AWS Security Hub, Inspector, GuardDuty, CloudTrail, Config, Microsoft Defender for Cloud, Azure Policy, and Entra ID.
  • Experience with Infrastructure as Code technologies such as Terraform and AWS CloudFormation.
  • Knowledge of security standards and frameworks including NIST, CIS Benchmarks, OWASP, and cloud security best practices.
  • Experience implementing automated vulnerability-remediation and security-validation workflows.
  • Experience applying AI/LLM-based capabilities to vulnerability analysis, remediation recommendations, or security automation.
  • Familiarity with SRE, observability, production support, and incident-management practices.
  • Relevant certifications such as AWS Certified Security - Specialty, Microsoft Azure Security Engineer, CISSP, CCSP, Security+, or equivalent cloud/security certifications.

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $87,720 - $131,580 per annum. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.
This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.
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About NTT DATA
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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About NTT DATA

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NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967