Overview
On Site
150k - 180k
Full Time
Skills
Lean Methodology
CaliberRM
Systems Design
Workflow
Real-time
Collaboration
Artificial Intelligence
Regulatory Compliance
Data Engineering
Python
Extract
Transform
Load
API
Cloud Computing
Microsoft Azure
Orchestration
RESTful
Startups
Management
Adaptability
Communication
Leadership
Security Clearance
Employment Authorization
Job Details
We're a fast-moving startup in the intelligence space, integrating multiple data sources to deliver real-time insights for businesses-including hotels and other enterprise clients. You'll join a lean, high-caliber team where your decisions will directly influence how we scale, architect, and evolve our platform.
This role is both strategic and hands-on. You'll work across architecture, implementation, and system design to build the infrastructure behind real-time intelligence, agentic bots, and automated data pipelines. If you want to work at the intersection of AI, data engineering, and security technology-on something with real impact-this is it.
This role is both strategic and hands-on. You'll work across architecture, implementation, and system design to build the infrastructure behind real-time intelligence, agentic bots, and automated data pipelines. If you want to work at the intersection of AI, data engineering, and security technology-on something with real impact-this is it.
- Own architecture decisions for our Python-based backend and data infrastructure.
- Partner with internal teams and external stakeholders to deliver secure, reliable, high-performance 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 enterprise integrations and ensure data compliance and governance standards are met.
- 9+ years of experience in data engineering, backend engineering, or similar technical roles.
- Strong expertise with Python for ETL, API integrations, and automation.
- Proven experience designing and managing large-scale data pipelines.
- Knowledge of modern data stack tools and cloud platforms (Azure preferred).
- Familiarity with distributed systems, orchestration tools, and RESTful data services.
- A startup-ready mindset: resourceful, self-directed, adaptable, and comfortable with ambiguity.
- Excellent communication skills and a collaborative, leadership-oriented approach.
- Eligibility to obtain a security clearance (U.S. work authorization required).
- Must be based in the greater Phoenix area.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.