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Remote Python Sql Tableau Jobs in Washington, NJ

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Remote Python Sql Tableau information

See Washington, NJ salary details

$12

$56

$83

How much do remote python sql tableau jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for remote python sql tableau in Washington, NJ is $56.80, according to ZipRecruiter salary data. Most workers in this role earn between $46.83 and $64.52 per hour, depending on experience, location, and employer.

What is the difference between Remote Python Sql Tableau vs Data Analyst?

AspectRemote Python Sql TableauData Analyst
Required SkillsPython, SQL, Tableau, data visualizationExcel, SQL, data visualization, basic statistics
Work EnvironmentRemote, collaborative teams, project-basedRemote or on-site, business-focused
Industry UsageTech, finance, healthcare, marketingFinance, retail, healthcare, consulting

Remote Python Sql Tableau roles focus on programming, data manipulation, and visualization, often requiring coding skills. Data Analysts analyze data to generate insights, typically using Excel and SQL. While both roles involve data visualization, Python and Tableau are more prominent in Remote Python Sql Tableau positions, whereas Data Analysts may rely more on Excel and basic tools. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What job categories do people searching Remote Python Sql Tableau jobs in Washington, NJ look for? The top searched job categories for Remote Python Sql Tableau jobs in Washington, NJ are:
What cities near Washington, NJ are hiring for Remote Python Sql Tableau jobs? Cities near Washington, NJ with the most Remote Python Sql Tableau job openings:
Remote Python Sql Tableau jobs near you
Vulnerability Remediation Engineer

Vulnerability Remediation Engineer

Noblesoft Technologies

Raritan, NJ • Remote

Contractor

Re-posted 8 days ago

Job description

Job Title: Vulnerability Remediation Engineer

Location:  Raritan, NJ 08869 / REMOTE

Job Description:

  • Implement capabilities for a global Vulnerability Management program: internal/external exposure, imminent threats, prioritization, remediation facilitation.
  • Serve as technical SME for vulnerability tools and processes (Tenable, Qualys, Rapid7, or equivalent).
  • Continuously improve VM processes for coverage, efficiency, and visibility.
  • Leverage automation, analytics, and threat intelligence to improve accuracy and reduce remediation timelines.
  • Operate/optimize scanning platforms, discovery tooling, and reporting pipelines for asset visibility.
  • Partner with Infrastructure, Engineering, Application, and Cloud teams to reduce risk across environments.
  • Lead critical vulnerability identification and response exercises, including zero-day/imminent threats.
  • Develop and maintain metrics, dashboards, and executive-level reporting on posture, remediation progress, and program maturity.
  • Track and communicate remediation SLAs, risk reduction, and program improvements.

Qualifications and Skills:

  • Technical proficiency across network, system, and application layers; scanning, asset discovery, and exploit analysis
  • Hands-on experience with VM tools (e.g., Tenable.io, Qualys VMDR/WAS, Rapid7 InsightVM/AppSec) and discovery utilities (Nmap, SSLScan, Shodan, BitSight, Security Scorecard, custom scripts).
  • Knowledge in threat intel and data-driven prioritization (CVSS/CISA/EPSS).
  • Strong cloud understanding (AWS, Azure, GCP) and modern app stacks.
  • Scripting/automation (Python, PowerShell, Bash) and data analysis (SQL, Excel).
  • Scale-ready processes, metrics, dashboards, and analytics (Tableau, PowerBI).
  • Cross-functional collaboration; clear risk communication to technical and business stakeholders.
  • Knowledge of IT processes, secure baselines, and control frameworks (CIS, NIST, ISO, Microsoft, etc.).

Preferred:

  • Relevant certifications such as OSCP, GWAPT, CEH, or CSSLP.
  • Experience working in Agile and DevSecOps environments.
  • Knowledge of containerized applications and security tools (e.g., Docker, Kubernetes, etc.).
  • Understanding of regulatory compliance requirements (e.g., PCI DSS, GDPR, HIPAA).
  • Experience with penetration testing and exploit development.