Data Engineer
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Before you apply
SalaryNo pay range posted
LocationCalifornia, United States - Remote, United States - Remote
Work moderemote
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentEngineering
EquityIncluded
Company size5+ people
PostedAug 28, 2025 · 1y ago
Verified live3d ago
May no longer be actively hiring
Posted by the company on Aug 28, 2025100% of this company's open roles have been listed for 90+ daysNo pay range listed, though California requires one
At a glanceSummarised by Seekless from the posting.
5+ years building and scaling backend systems that handle real-world complexity
Fluent in Python (FastAPI preferred) and cloud-native development on AWS or GCP
Design data models and transformation logic for complex, real-time workflows
Build with resilience, security, and performance as first principles
Thrive in a high-context, low-process environment where speed and ownership matter
Hands-on experience with SIEMs, SOARs, detection pipelines, or IR tools
Worked with event streaming/orchestration systems (Kafka, Kinesis, Airflow)
Understand security-first architecture (RBAC, audit logs, multi-tenancy)
Built on OpenSearch or DynamoDB for large-scale, fast data access
Skills
Python
FastAPI
AWS
GCP
React.js
Tailwind CSS
TypeScript
Node.js
Docker
Terraform
GitHub Actions
OpenSearch
DynamoDB
Gemini
Anthropic
OpenAI
Figma
Storybook
CI/CD
Kafka
Kinesis
Airflow
SIEM
EDR
SOAR
Benefits
Remote first
Equity
About the role
Transform raw signals into actionable intelligence. Build the pipelines that turn chaos into clarity.
At detections.ai, we believe that great detection starts with great data. We’re looking for a data engineer who doesn’t just move bytes—but architects the intelligence infrastructure that helps security teams see threats before they strike. This is your chance to build the data foundation that powers the future of threat detection.
Responsibilities
You’ll Own:
•
Backend services end-to-end – from first design sketch to production deployment.
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High-throughput data pipelines that transform messy security telemetry into clean, enriched streams.
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Integrations with SIEMs, EDRs, and security platforms that make our product the connective tissue of the modern security stack.
•
Cross-team collaboration with frontend, AI, and detection engineers to ensure data becomes truly actionable.
•
Core architecture and APIs that other engineers (and customers) will build on every day.
Requirements
You’re a Fit If You:
•
Have 5+ years building and scaling backend systems that handle real-world complexity.
•
Are fluent in Python (FastAPI preferred) and cloud-native development on AWS or GCP.
•
Can design data models and transformation logic for complex, real-time workflows.
•
Build with resilience, security, and performance as first principles.
•
Thrive in a high-context, low-process environment where speed and ownership matter.
Nice to have
You’ll Stand Out If You:
•
Have hands-on experience with SIEMs, SOARs, detection pipelines, or IR tools.
•
Have worked with event streaming/orchestration systems (Kafka, Kinesis, Airflow).
•
Understand security-first architecture (RBAC, audit logs, multi-tenancy).
•
Have built on OpenSearch or DynamoDB for large-scale, fast data access.
Tech Stack:
•
Frontend: React.js, Tailwind CSS, TypeScript
•
Middle Layer: Node.js, TypeScript
•
Backend: Python (FastAPI)
•
Infra & DevOps: AWS, GCP, Docker, Terraform, GitHub Actions
•
Data: OpenSearch, DynamoDB
•
AI Agents: Gemini, Anthropic, OpenAI
•
Tooling: Figma, Storybook, CI/CD pipelines
Benefits
The Offer:
•
Remote-first with meaningful equity
•
Build for real users: Work side-by-side with detection engineers.
•
Own meaningful problems: Architect the systems that make detections possible.
•
Move fast without red tape: Small, high-context team with outsized impact.
•
Shape product and culture: Your work is foundational to the company’s success.
This isn’t just another data engineering role—it’s your chance to build the data foundation that powers the next generation of threat detection.
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