Data Engineer I

Data Engineer I LocationRemote in the United StatesEmployment TypeFull timeLocation TypeRemoteDepartmentEngineering Flashpoint is the pioneering leader in threat data and intelligence. We empower commercial enterprises and government agencies to decisively confront complex security challenges, reduce risk, and improve operational resilience amid fast-evolving threats. Through the Flashpoint Ignite platform, we deliver unparalleled depth, breadth and speed of data from highly relevant sources, enriched by human insights. Our solutions span cyber threat intelligence, vulnerability intelligence, geopolitical risk, physical security, fraud and brand protection. The result: our customers safeguard critical assets, avoid financial loss, and protect lives. Discover more at flashpoint.ioAre you a data engineer who actually enjoys being the person who keeps critical systems alive? Flashpoint is looking for a Data Engineer I to own the real-time data infrastructure behind our intelligence platform, the Pub/Sub topics, Dataflow pipelines, and AI enrichment that let our customers spot threats the moment they emerge. This is a depth role, not a learning role. You're joining a small, senior team where the architecture is already solid and proven; your job is to be its operational heartbeat, keeping petabyte-scale pipelines flowing 24/7/365, troubleshooting under pressure, and continuously hardening the systems our customers depend on. We have a role for you if, you:You've operated production streaming pipelines at real scale, Pub/Sub, Kafka, or similar, and you know how message queues actually behave when traffic spikes and consumers fall behind.You've debugged and optimized GCP Dataflow (or comparable Beam-based) jobs in production, not just stood them up.You've been first responder for systems with no tolerance for downtime, and you've owned the incident from page to postmortem.You've built the monitoring and alerting that catches failures before customers do, using tools like Prometheus, Grafana, or Stackdriver.You've integrated LLMs into a data pipeline, Vertex AI and Gemini, or strong transferable work with similar platforms, and understand prompt engineering in a data context.You've worked terabyte-to-petabyte datasets and kept systems responsive while filtering high-volume data.What you will get to do on our team:Own end-to-end operations of real-time pipelines that ingest, enrich, filter, and route data through Vertex AI and Gemini for risk assessment.Own our Pub/Sub infrastructure end to end: message delivery, consumer groups, and the production incident response when something goes sideways.Scale, monitor, and optimize Dataflow streaming and batch jobs processing petabytes of data, diagnosing failures and shipping the fix.Build and maintain the monitoring, alerting, and incident-response tooling for systems that can't go down.Safeguard data integrity end to end, ensuring data reaches customers accurately and on time.Partner with Product, the broader Data team, and Intelligence Analysts to turn requirements into operational reality.What you will achieve:Within 30 days:Onboarded into the GCP environment with full access to pipelines, dashboards, and runbooks; shadowed the on-call rotation.Mapped the end-to-end data flow, Pub/Sub through Dataflow through Vertex AI enrichment, and can explain where it's fragile.Resolved your first production alert with team support.Within 60 days:Carrying on-call independently and resolving common incidents without escalation.Shipped at least one observability or reliability improvement (new alert, dashboard, or runbook) to the existing stack.Identified and fixed a recurring pipeline pain point.By 90 days:Operating as the primary owner of the streaming infrastructure, trusted to run it autonomously.Reduced false-positive alerts and/or measurably improved a key SLA (latency, uptime, or throughput).Documented decisions and hardened systems so the next incident is easier for everyone.Acting as the go-to...