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Data Platform Engineer (Member of Technical Staff)

Cogent SecurityVulnerability Management company
San Francisco, United States$100K - $300KSenior
Data & AI

About the role

Build scalable data ingestion, pipelines, and indexing for GenAI-driven enterprise security use cases.

  • Design and implement Cogent's data platform and integration pipeline to ingest, normalize, and transform enterprise data for GenAI systems.
  • Key Responsibilities Build data connectors, pipelines, and ETLs to ingest enterprise data securely.
  • Design indexing, storage, and query strategies for semantic search and RAG.
  • Architect scalable data platform components and make build vs buy decisions.
  • Work with Applied AI teams to taxonomize, correlate, and deduplicate data.
  • Requirements 5+ years as a hands-on engineer and technical leader.
  • Experience building data pipelines for information retrieval systems.
  • Familiarity with ETL orchestration (Temporal, Airflow) and streaming (Kafka, Flink).
  • Expertise in SQL, database fundamentals, and distributed computing.
  • Experience with Kubernetes, Terraform, Docker, and multi-cloud deployments.
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Tech stack

PythonSQLDatabricksApache KafkaApache FlinkAirflowKubernetesTerraformDocker

Match insights

Tech:Python, SQL, Databricks, Apache Kafka, Apache Flink
Level:Senior

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