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Data Engineer I
Skills
ContextData IntegrityEmergency ServicesLarge Language ModelsLinuxPrompt EngineeringSafeguard
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Hands-on production experience building or operating streaming data pipelines
- Demonstrated ability to debug and optimize GCP Dataflow or comparable Beam-based stream processing
- Reliability mindset with fluency in SLAs observability on-call and incident response
- Proficiency with Python SQL and Linux
- Real experience integrating Vertex AI Gemini or similar LLM platforms into data workflows
Nice to have
- Autonomous
- Detail-oriented
- Calm under pressure
- Operationally minded
- Collaborative
Day to day
- Own end-to-end operations of real-time data pipelines that ingest enrich filter and route threat intelligence data.
- Monitor and optimize Pub/Sub Dataflow and AI enrichment workflows to keep petabyte-scale systems reliable and responsive.
- Troubleshoot incidents under pressure improve observability and harden production systems so customers receive accurate data on time.