Cogent Security
Software Engineer - Data Platform (Staff+)
$100K–$300K
San Francisco, CA +1 · Hybrid · Staff · Full-time · Posted Sep 14, 2026
- Location
- San Francisco, CA
New York, NY - Experience
- 5+ years of professional experience as a hands-on engineer and technical leader leading multiple projects.
About the job
Design and build Cogent’s data platform to ingest, normalize, index, and make enterprise data available to AI systems and security workflows.
What you'll do
- Build secure data connectors and pipelines to ingest enterprise data and extract insights and context.
- Design data processing, indexing, storage, and query strategies for use cases including semantic search and retrieval augmented generation.
- Architect the data platform, make build-versus-buy decisions, and develop reusable components that scale across integrations.
What they ask for
- Experience building enterprise data pipelines for information retrieval systems, such as knowledge graphs or search engines.
- Experience with ETL orchestration and workflow management tools, and with batch processing and streaming systems.
- Expertise in database fundamentals, SQL, data reliability practices, and distributed computing.
- Experience with orchestration and deployment technologies across multiple clouds, such as Kubernetes, Terraform, Docker, or Databricks.
Pay
USD $100,000 - $300,000 annually (base salary)
Tools
Temporal, Airflow, Apache Kafka/Flink, SQL, Kubernetes, Terraform, Docker, Databricks
AI focus
Build data infrastructure and indexing strategies for GenAI systems, including semantic search and retrieval augmented generation; integrate enterprise data into a knowledge base for other GenAI systems.
Model-written summary · the original posting is authoritative