Overview
On Site
140k - 180k
Full Time
Skills
Lean Methodology
Unstructured Data
Data Validation
Data Deduplication
Analytics
Machine Learning (ML)
Workflow
Real-time
Collaboration
Artificial Intelligence
Regulatory Compliance
Data Engineering
Python
Extract
Transform
Load
API
Cloud Computing
Microsoft Azure
Orchestration
RESTful
Startups
Management
Communication
Security Clearance
Employment Authorization
Job Details
We're looking for a Senior Data Engineer who thrives in complex systems, enjoys solving hard problems, and wants to build data products that actually make a difference.
We are a fast-moving startup in the security intelligence space, working with diverse data sources to help organizations detect and prevent harm. You'll be joining a lean, high-talent team where your decisions directly shape how we scale and evolve our platform.
You'll be hands-on with everything from architecture to implementation, designing systems that power real-time insights, agentic bots, and automated data pipelines. This is a chance to work at the intersection of AI, data engineering, and security tech building something genuinely impactful.
What You'll Do
We are a fast-moving startup in the security intelligence space, working with diverse data sources to help organizations detect and prevent harm. You'll be joining a lean, high-talent team where your decisions directly shape how we scale and evolve our platform.
You'll be hands-on with everything from architecture to implementation, designing systems that power real-time insights, agentic bots, and automated data pipelines. This is a chance to work at the intersection of AI, data engineering, and security tech building something genuinely impactful.
What You'll Do
- Design and build scalable data pipelines from ingestion to transformation across 1,400+ structured and unstructured data sets.
- Develop frameworks for data validation, enrichment, and deduplication that power downstream analytics and machine learning.
- Own architecture decisions for our Python-based backend and data infrastructure.
- Work with internal and external teams to build high-performance, secure, and reliable systems.
- Build and maintain scrapers, bots, and automation workflows that feed real-time intelligence.
- Collaborate with AI engineers and data scientists to deploy new models and agentic automation tools.
- Support integrations for enterprise clients and data compliance needs
- 9+ years of experience in data engineering, backend engineering, or similar roles.
- Strong command of Python for ETL, API integrations, and automation.
- Experience working with large, messy data sets and designing scalable pipelines.
- Solid knowledge of modern data stack tools and cloud platforms (Azure preferred).
- Familiarity with distributed systems, orchestration tools, and RESTful data services.
- Comfort operating in a startup environment - resourceful, self-directed, and comfortable with ambiguity.
- Strong communication skills and a collaborative mindset.
- Must be eligible to obtain security clearance (U.S. work authorization required).
- Ideally based in Phoenix, AZ or Florida.
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