Corporate Security Technology & Data Engineer (Contract)

GreenLight.ai is focused on protecting its people, places, operations, and leadership through its Corporate Security team. They are seeking a contractor to build a cohesive technology and data ecosystem that enhances workflows and provides real-time visibility into security operations.

Responsibilities:

• Partner with teams across Corporate Security to understand their operational workflows, data sources, reporting needs, and automation goals
• Build best-in-class dashboards and metrics that provide real-time visibility into CorpSec operations, performance, risks, and program health
• Use ChatGPT, Codex, agents, APIs, and automation tools to build scalable internal tools and workflows
• Create a unified technical vision that connects team-level projects into a broader CorpSec data and technology ecosystem
• Assess current data sources and workflows, identify gaps, and improve the quality, consistency, and reliability of data
• Design clean data pipelines and reporting structures across systems such as Airtable, Ontic, Jira, Asana, Google Workspace, and other CorpSec tools
• Build prototypes quickly, test with users, and iterate toward production-ready solutions
• Help establish data standards, governance practices, and repeatable patterns for future CorpSec technology builds
• Translate ambiguous business needs into clear technical requirements and practical solutions
• Serve as a technical partner to CorpSec leadership on dashboards, automation, AI-enabled workflows, and data strategy

Requirements:

• 5+ years of experience in data engineering, analytics engineering, software engineering, solutions architecture, business systems, or a similar technical role
• Experience building dashboards, reporting systems, or operational analytics products
• Experience working with APIs, data pipelines, databases, scripts, or automation tools
• Ability to work directly with business stakeholders and translate operational needs into technical solutions
• Strong understanding of data quality, data modeling, and scalable reporting practices
• Demonstrated ability to build practical tools in fast-moving environments
• Experience using ChatGPT, Codex, AI agents, or LLM-based tools to build internal workflows or automation
• Experience with Airtable, Ontic, Jira, Asana, Google Workspace, Slack, or similar enterprise tools
• Experience supporting security, risk, intelligence, operations, trust and safety, or enterprise resilience teams
• Experience building executive-facing dashboards or metrics programs
• Comfort with SQL, Python, JavaScript, APIs, and low-code/no-code platforms
• Experience designing data governance, permissions, and access-control models for sensitive data