ASI

Defense

DataLead(Defense)

$175–245k ~AI est. Colorado, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Data Lead (Defense) at ASI. Skills: Data engineering, Data forensics, Technical communication. Operate data flows. Improve data flows”

Industry & Context.

Defense
Problems you'll solve

Problem solving

Eligibility Requirements

Active SECRET or TOP SECRET U. S. Security Clearance, Classified network environments, IL5/IL6, ATO processes, Hybrid cloud, On-prem environments

What They're Looking For.

Must Have

Active SECRET or TOP SECRET U. S. Security Clearance

Nice to Have

PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified

What You'll Do.

Translate findings into pipelines

Deploy data infrastructure

How You'll Work.

Communication Scope

Technical communication

Full Job Description

About Air Space Intelligence ASI's mission-critical technology powers decision-making across aviation, defense, energy, and other critical infrastructure domains. Backed by top-tier investors including Andreessen Horowitz, Spark Capital, and Renegade Partners, ASI delivers operational decision superiority—compressing days of analysis into seconds of action. ASI is leading the way and pushing the boundaries of what’s possible. What You Will Do: You will own the reality layer that powers ASI's defense products. You will operate, improve, and expand the data flows that move operational data from mission systems into usable, trusted datasets for decision-making. This role is equal parts data engineering, data forensics, and technical communication. You will dig into real-world data, determine what it actually means, and translate findings into clear, actionable pipelines ready to drive mission-critical decisions for end users. What We Value: - Strong fluency with modern data engineering tooling and patterns: streaming and batch pipelines, schema evolution, data contracts, and lineage. - Demonstrated ability to debug data: profiling, anomaly detection, reconciling sources, and separating signal from noise while cross-validating. - Strong technical communication skills: you can explain what the data is doing, what it means, what is broken, why it matters, and what engineering should change. - Comfort with distributed messaging and processing (Kafka, Flink, Spark, or equivalents) and modern orchestration (Airflow, Dagster, Temporal, or similar). - Strong grasp of API design and integration patterns (REST, gRPC, GraphQL) and experience working across a range of data formats and wire-level protocols (JSON, XML, Protobuf, and binary protocols like JREAP-C or CMF-B). - Working knowledge of modern network protocols, firewalls, system level connections, cross-system authentication, and an enthusiasm to get data flowing. - Familiarity with defense operational data and mission sys

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