GreenLight Workforce Solutions Inc - Corporate Security Technology & Data Engineer (Contract)
Requirements
• 5+ years of experience in data engineering, analytics engineering, software engineering, solutions architecture, business systems, or a similar technical role. • Experience integrating physical security and risk-management technologies, including access control, visitor management, threat intelligence, case management, and incident response platforms • 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, Databricks, Codex, AI agents, or LLM-based tools to build internal workflows or automation. • Experience with Airtable, Ontic, Jira, 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. • What success looks like • Within the first few months, this contractor will have developed a clear understanding of Corporate Security’s systems, workflows, and existing Codex/ChatGPT projects. They will identify where data is fragmented, where quality needs to improve, and where teams are duplicating effort. • Over time, this person will help create a connected Corporate Security data and technology ecosystem, including reliable data flows, cleaner source systems, stronger automation, and dashboards that give leadership a real-time view of Corporate 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 Corporate Security 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 Corporate Security 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 Corporate Security tools. • Build prototypes quickly, test with users, and iterate toward production-ready solutions. • Help establish data standards, governance practices, and repeatable patterns for future Corporate Security technology builds. • Translate ambiguous business needs into clear technical requirements and practical solutions. • Serve as a technical partner to Corporate Security leadership on dashboards, automation, AI-enabled workflows, and data strategy. • Have strong experience building dashboards, data products, internal tools, or automation systems in complex operating environments. • Are comfortable working with ambiguous requirements and turning them into simple, scalable technical solutions. • Have experience integrating systems through APIs, scripts, databases, and automation platforms. • Care about data quality and know that dashboards are only as good as the data behind them. • Can partner with non-technical stakeholders and quickly understand how their work actually happens. • Are excited about using AI tools like ChatGPT, Codex, and agents to improve real-world operations. • Can move between strategy and execution, from designing the architecture to building the actual workflow. • Have strong judgment around privacy, access control, and responsible handling of sensitive operational data. • Are highly organized, self-directed, and able to drive work across multiple stakeholders.
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