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Senior Data Engineer (St Louis)

ClearanceJobsSt Louis, MO, United States

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Intelligent Data Fabric Architect

Lead the design and implementation of the intelligent data fabric that transforms geospatial datasets into AI-enabled, discoverable resources. This role will architect the ETL pipelines, metadata enrichment systems, and graph database implementations that serve both human analysts and autonomous AI systems.

Responsibilities

Lead data lake structure development with SQL and ElasticSearch integration
Design and implement Apache Airflow ETL pipelines for diverse geospatial data sources
Develop AI-powered metadata enrichment using NLP and semantic analysis
Architect knowledge graph construction systems for anomaly detection and pattern discovery
Implement comprehensive structured logging in JSON format for AI training datasets
Design ontology-driven graph database population strategies
Lead spatiotemporal analytics and activity-based intelligence tool development
Ensure data quality monitoring and automated validation throughout ingestion processes

Qualifications :

TS / SCI Clearance

10+ years experience in data engineering and ETL pipeline development

Expertise with graph databases (Neo4j, Amazon Neptune) and ontology modeling

Advanced knowledge of ElasticSearch, PostGIS, and distributed SQL systems

Experience with Apache Airflow orchestration and workflow management

Proficiency in Python, SQL, and data processing frameworks

Experience with geospatial data formats and standards (OGC, ISO)

Knowledge of metadata management and controlled vocabularies

Desired Qualifications

15+ years experience with publications and patents in data engineering

Experience with AI / ML classification systems and automated processes

Background in geospatial intelligence and NGA mission requirements

Experience with FAISS vector databases and semantic similarity matching

Knowledge of ICD 503 compliance and security audit trail requirements

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Senior Data Engineer • St Louis, MO, United States

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