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Company: SAIC
Location: San Diego, CA
Career Level: Mid-Senior Level
Industries: Technology, Software, IT, Electronics

Description

Description

SAIC is seeking a TS/SCI cleared Senior Data Engineer in support of NAVWAR's Naval Operational Architecture (NOA) program in San Diego, CA. The Data Engineer will to support a transformational, Navy-led network-centric initiative that converges existing systems, automating the correlation of multiple ISR data streams, dramatically reducing the "sensor-to-shooter" timeline.  This is a recently awarded contract, funded for five years. 

 

Work is performed on site in San Diego, CA. 

 

Responsibilities:  

  • Build and optimize robust data pipelines: ingestion, transformation, storage, and governance. 

     

  • Convert between tactical data formats, e.g., XML, JSON, GEOJSON, Cursor-on-Target (CoT), JREAP-C, Link-16. 

  • Implement automation using CHRON/CRON jobs and data orchestration frameworks (Apache Airflow, Kafka, AWS Step Functions).

  • Architect and maintain scalable data stores (e.g., Apache Iceberg, Elasticsearch) with schema evolution and deduplication. 

  • Enable real-time data indexing and fast query performance. 

  • Implement MIL-STD-6016 (Link-16) and MIL-STD-3011 (JREAP) message handling. 

  • Support integration or development of Cross-Domain Solutions (CDS) for secure, policy-based data transfers. 

  • Present complex data flows and technical insights effectively to leadership and stakeholders using clear data models and visual aids. 

Qualifications

Citizenship and Clearance Requirement:

  • U.S. Citizenship required.
  • Active TS/SCI security clearance required.

 

Education and Certification Requirements: 

  • Bachelor's degree in Data Science, Computer Science, Engineering, or related STEM field and nine (9) years or Masters and seven (7) years or more of experience. 

 

Required Skills and Experience: 

  • At least 9 years' experience working as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst, geospatial engineer, machine learning engineer, or software engineer.

  • Hands on Keyboard- Developer Skillsets.

  • Fluency in Python, can code without Modern libraries. 

  • Experience in format conversions with some of the following: XML, JREAP-C, COT (cursor-on-target), JSON, GEO JSON, UMF/UHR, text link-16, Tapil-J, and other Tactical Data Links. 

  • Experience in natural language parsing (NLP) and using regular expressions, RegEx.

  • Experience implementing CHRON/CRON jobs.

  • Experience in data pipeline orchestration, ETL, orchestration tools (e.g., Kafka, Apache Airflow, AWS Step Functions).

  • Focused experience implementing and monitoring data stores i.e. (Apache Iceberg, elastic search, data lake management).

  • Experience with schema evolution, dataflow and governance.

  • Experience with real-time search and analytics engines for indexing and querying semi-structured data.

  • Focused experience optimizing data store queries for speed and deduplication.

  • Direct experience implementing MIL-STD-6016 and MIL-STD-3011 .

  • Can translate data between source and destination schemas.

  • Data modeling and PowerPoint presentations for leadership and stakeholder presentations.

  • Experience working with or developing Cross Domain Solutions (CDS) systems.

     

 

Preferred Skills and Experience:  

  • Familiarity with DoD data architecture principles (e.g. DoDAF, CADM).

  • Experience with DataOps or similar mission-critical pipeline automation (e.g., deduplication, schema normalization). 

  • Any experience leveraging universal data distribution architectures within DOD operations. 

Please view our Program page for more information and to view all open positions available: https://jobs.saic.com/pages/NOA.
 

 


Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.


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