Corporate Security Technology & Data Engineer – Contract

🕒 June 11

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GreenLight.ai

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2018

💼 Consulting

⚖️ Legal

📦 Logistics

💰 Pre seed on 2020-04

Consulting • Legal • Logistics

GreenLight. ai is a B2B SaaS platform that provides a Freelancer Management System (FMS) to help organizations compliantly hire, onboard, classify, manage, and pay freelancers, contractors, and vendors at scale. It combines core FMS features with Employer of Record (EOR), Agent of Record (AOR), and worker classification services, plus APIs, embedded integrations, and white-label options for enterprises, talent marketplaces, and staffing firms. The product emphasizes compliance, configurable workflows, payroll (bill & pay), reporting, and security to reduce legal risk and streamline extended workforce operations globally.

📋 Description

• 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.

🏖️ Benefits

• Flexible work arrangements