Software Engineer Data Engineering

CHAOS builds distributed sensor networks that detect threats to warfighters borders and critical infrastructure faster than any system in the world. Our Coherent Distributed Networks (CDN) technology fuses data from radars EO/IR sensors and electronic warfare systems across land sea and air-operating as one unified sensing platform.

Role Overview
Were looking for a Software Engineer to build the data systems that make this possible. Youll design pipelines that move sensor data from the edge to decision-makers in real time integrate feeds from dozens of heterogeneous sources and create the data infrastructure that powers products like Vanquish. This isnt abstract data work - every pipeline you build directly enables faster threat detection and better outcomes for defenders in the field.
Youll work across teams with hardware engineers systems engineers and operators to understand what data matters and how to get it where it needs to go. As we scale youll help shape the architecture of the CHAOS Operating System - a unified data backbone connecting engineering operations and manufacturing.

Responsibilities
Design and build data pipelines that ingest transform and deliver sensor and operational data in real time
Integrate data from diverse sources - radars sensors enterprise systems - into unified queryable formats
Build and maintain data infrastructure including real-time streaming batch processing and storage systems
Collaborate with hardware systems and software engineers to ensure data flows support mission-critical workflows
Monitor troubleshoot and optimize pipeline performance for reliability and low latency
Contribute to architectural decisions as the data platform evolves
Work 3 days per week from our San Francisco or Los Angeles office

Minimum Requirements
1-2 years of experience in software development data engineering or a related field
Proficiency in Python and SQL
Experience building or maintaining data pipelines ETL workflows or backend data services
Familiarity with data modeling concepts and working with structured/unstructured data
Strong problem-solving skills and ability to debug complex data issues

Preferred Requirements
Experience with real-time data processing or streaming technologies (Kafka Spark Streaming Flink)
Familiarity with Palantir Foundry or similar enterprise data platforms
Experience with cloud platforms (Azure AWS GCP)
Background in defense aerospace or sensor systems (radar EO/IR EW)
Experience with containerization (Docker) and orchestration (Kubernetes)
Familiarity with data warehousing solutions and NoSQL databases

Why CHAOS

• Health Benefits: Medical dental and vision benefits 100% paid for by the company
• Additional benefits: 401k ( 50% company match up to 6% of pay) FSA HSA life insurance and more
• Our Perks: Free daily lunch No meeting Fridays unlimited PTO casual dress code
• Compensation Components: Competitive base salaries generous pre-IPO stock option grants relocation assistance and (coming soon!) annual bonuses
• Team Growth: 200 employees and counting across 5 global offices

The stated compensation range reflects only the targeted base compensation range and excludes additional earnings such as bonus equity and benefits. If your compensation requirements fall outside of the range we still encourage you to apply. The salary range for this role is an estimate based on a range of compensation factors inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience education and/or training critical skills and/or business considerations.

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