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Remote Data Scanner Jobs in New York (NOW HIRING)

Translate engineering requirements into structured CAD data suitable for AI learning and validation ... Reverse engineering (Scan-to-CAD). * Manufacturability analysis. * Python, iLogic, and VBA ...

Schedule/hours: Monday - Friday, 8:00 AM - 4:30 PM (NO REMOTE WORK). This person provides ... Helps file, copy, scan and helps prepare/create digital files & documents such as customer orders ...

Schedule/hours: Monday - Friday, 8:00 AM - 4:30 PM (NO REMOTE WORK). This person provides ... Helps file, copy, scan and helps prepare/create digital files & documents such as customer orders ...

Schedule/hours: Monday - Friday, 8:00 AM - 4:30 PM (NO REMOTE WORK). This person provides ... Helps file, copy, scan and helps prepare/create digital files & documents such as customer orders ...

Schedule/hours: Monday - Friday, 8:00 AM - 4:30 PM (NO REMOTE WORK). This person provides ... Helps file, copy, scan and helps prepare/create digital files & documents such as customer orders ...

Schedule/hours: Monday - Friday, 8:00 AM - 4:30 PM (NO REMOTE WORK). This person provides ... Helps file, copy, scan and helps prepare/create digital files & documents such as customer orders ...

Schedule/hours: Monday - Friday, 8:00 AM - 4:30 PM (NO REMOTE WORK). This person provides ... Helps file, copy, scan and helps prepare/create digital files & documents such as customer orders ...

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Remote Data Scanner information

What is a remote data scanner?

A Remote Data Scanner is a professional who uses specialized software and tools to access, analyze, and extract information from remote data sources, such as servers, databases, cloud storage, or networks. They often work in fields like cybersecurity, data analytics, and IT, ensuring data integrity, compliance, and security. Their work is typically conducted from a remote location, which allows organizations to monitor and manage data without the need for on-site presence. Remote Data Scanners play a crucial role in identifying vulnerabilities, tracking data flow, and supporting data-driven decision-making.

What are the key skills and qualifications needed to thrive as a remote data scanner?

To thrive as a Remote Data Scanner, you need strong attention to detail, data entry accuracy, and familiarity with data management principles, often supported by a high school diploma or equivalent. Proficiency in spreadsheet software (such as Microsoft Excel or Google Sheets), document scanning tools, and secure data transfer systems is typically required. Excellent organizational skills, time management, and the ability to work independently are valuable soft skills in this role. These skills ensure that large volumes of data are processed accurately and securely, supporting efficient business operations and data integrity.

What are some common challenges faced by remote data scanners, and how can they be addressed?

Remote Data Scanners often encounter challenges such as managing large volumes of data, ensuring data accuracy, and maintaining clear communication with distributed teams. To address these, it's important to establish consistent data validation protocols, use reliable remote collaboration tools, and participate in regular team check-ins. Developing strong organizational skills and staying updated on data security best practices also contribute to efficiency and job satisfaction in this role.

What are popular job titles related to Remote Data Scanner jobs in New York?

For Remote Data Scanner jobs in New York, the most frequently searched job titles are:

What cities in New York are hiring for Remote Data Scanner jobs?

Cities in New York with the most Remote Data Scanner job openings:

Data Platform and Security Engineer 100% Remote

Jersey City, NJ โ€ข Remote

Apetan Consulting llc
IT Servicesย โ€ขย 1 - 10 employees

$80 - $150/hr

Contractor

Re-posted 25 days ago


Job description

Data Platform and Security Engineer 100% REmote 

 

JOB DESCRIPTION:

Focuses on hardening Client’s Data Platforms and code environment against AI-driven attacks (like Mythos) by preventing vulnerabilities early and accelerating remediation using AI.

Objectives:

1. Preventing vulnerabilities in code (shift-left security)

  • Embed controls earlier in the Data platforms
  • Catch issues before they reach production

 

2. Accelerating remediation at AI speed

  • Handle vulnerability volume and velocity driven by AI tools
  • Improve throughput of fixing vulnerabilities

 

Required Qualifications

  • AWS Security & Automation Expertise
    • Strong understanding of core AWS security and governance services, including IAM, Secrets Manager, KMS, and Service Control Policies (SCPs)
    • Experience with infrastructure automation and serverless frameworks, such as CloudFormation, Lambda, and Step Functions
  • Security & Vulnerability Management
    • Experience with security scanning and analysis tools, such as SAST, Snyk, EchoAI, and AI-assisted penetration testing tools
    • Proven ability to identify, prioritize, and remediate vulnerabilities across applications and cloud infrastructure
  • Specific Experience Requirements
    • Data Sharing: Snowflake and enterprise File Transfer solutions
  • File Transfer
      • SFTP
    • Amazon Transfer Family (nice to have)
    • Data Sync
    • Storage Gateway