[Remote] Corporate Security Technology & Data Engineer (Contract)
Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
Company Overview