Data Security Engineer, Exposure and Vulnerability Management

Jobtailor; Town of Florida (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

Jobtailor seeks an experienced data engineer to architect, build, and maintain scalable ETL/ELT pipelines for large cybersecurity datasets. You will ingest from vendor platforms via REST/GraphQL/APIs, design data models, and create executive dashboards.

Roles require implementing secure coding practices and translating leadership needs into actionable data products. You will work in Agile teams and apply AI/LLM tools for advanced analytics and reporting.

Qualifications

• Architect scalable ETL/ELT pipelines for cybersecurity datasets.
• Ingest and normalize data from vendor platforms via REST/GraphQL/APIs.
• Design data models and executive dashboards for stakeholders.
• Implement baseline security controls and secure coding practices.
• Translate leadership requirements into data products and presentations.
• Work in Agile delivery workflows and cross-functional collaboration.
• Develop cybersecurity analytics using AI/LLM, predictive analytics, and RAG.

Responsibilities

• Build and maintain scalable data pipelines and data products.
• Ingest data from multiple vendors via REST/GraphQL/APIs and ensure data quality.
• Create dashboards and reports for executives and technical teams.
• Apply secure coding and security controls across data integrations.
• Collaborate with stakeholders to translate needs into architectures.
• Participate in Agile sprints and cross-functional teams.
• Leverage AI/LLM tools for cybersecurity analytics and predictions.

Skills

ETL/ELT Development

Python Programming

SQL Technologies

Data Modeling

API Integration

Looker Modeling

Vector Embeddings

RAG Architectures

Secure Coding

Agile Methodologies

Cloud Platforms

Cybersecurity Analytics

Education

Bachelor's degree or 4+ years experience

Tools

Apache Airflow

Talend

Alteryx

Google BigQuery

Snowflake

AWS Redshift

Jira

GitHub

Job description

• Architect, build, and maintain scalable ETL/ELT pipelines for large-scale cybersecurity and vulnerability datasets


• Ingest, transform, and normalize data from external vendor platforms through REST, GraphQL, webhook, and other APIs


• Design data models, interactive dashboards, and reports for executive and technical audiences


• Implement baseline security controls and secure coding practices across data integrations and analytical web applications


• Translate leadership requirements into actionable data products and executive presentations


• Prioritize tasks, manage workloads, and participate in Agile delivery workflows


• Collaborate with cross-functional teams to transform stakeholder needs into technical architectures


• Perform deep data exploration and develop cybersecurity analytics solutions using AI/LLM, predictive analytics, vector embeddings, and RAG architectures

Requirements

• Bachelor's degree or four or more years of work experience


• Four or more years of relevant work experience, including work, military experience, or specialized training


• Four or more years of experience with Python or similar object-oriented programming languages such as Java, C#, or C++


• Experience building ETL/ELT data pipelines using SSIS, Apache Airflow, Talend, Alteryx, or custom Python orchestration


• Hands‑on experience with large‑scale enterprise datasets


• Experience with SQL or similar technologies, including T‑SQL, MySQL, or PostgreSQL


• Experience with vendor APIs, pagination, error handling, and payload ingestion


• Understanding of data modelling in Looker, Tableau, SSRS, or Splunk


• Proficiency with Google Workspace or Microsoft Office, especially presentation tools


• Understanding of application security and secure coding principles


• Ability to work independently and collaborate on team projects


• Experience with AI/LLM data tools and predictive analytics


• Experience with cloud analytical platforms such as Google BigQuery, Snowflake, or AWS Redshift


• Experience with vector embeddings or RAG architectures for cybersecurity analytics


• Experience translating executive stakeholder requests into technical deliverables and presenting findings to non‑technical leadership


• Experience building analytical web applications or front‑end dashboards using HTML, CSS, JavaScript, or modern frameworks


• Experience extracting and transforming data via APIs from security platforms such as Tenable, CrowdStrike, Armis, Axonius, Shodan, BitSight, Flexera, ServiceDesk, ServiceNow, or JIRA


• Experience analysing enterprise‑scale telecommunications or cybersecurity data formats


• Familiarity with vulnerability management concepts, including CVEs, zero‑day vulnerabilities, and remediation workflows


• Experience with Agile management platforms such as Jira, Smartsheet, or Asana


• Experience with Git, GitHub, or GitLab


• Strong work ethic, initiative, time‑management, and prioritisation skills

Core Competencies

Demonstrates expertise in architecting and maintaining scalable ETL/ELT pipelines, transforming and normalising data from various APIs, and implementing secure coding practices. Proficient in translating executive requirements into actionable data products and delivering insights through interactive dashboards and presentations.

Highest-signal resume keywords

• ETL/ELT Pipeline Development


• Python Programming


• Data Modeling in Looker


• Cloud Analytical Platforms


• Cybersecurity Analytics Solutions

ATS Optimization Keywords

Hard Skills

• ETL/ELT Pipeline Development


• Python Programming


• SQL Technologies


• Data Modeling


• Predictive Analytics


• API Integration


• Analytical Web Applications


• Vector Embeddings


• RAG Architectures


• Secure Coding Practices

Soft Skills

• Time Management


• Prioritisation


• Collaboration


• Initiative


• Strong Work Ethic

Industry Keywords

• Cybersecurity


• Vulnerability Management


• CVE


• Zero‑Day Vulnerabilities


• Data Integration


• Enterprise Datasets


• Agile Methodologies


• Telecommunications Data Formats

Tools & Technologies

• Google Workspace


• Microsoft Office


• Apache Airflow


• Talend


• Alteryx


• Google BigQuery


• Snowflake


• AWS Redshift


• Jira


• GitHub