Senior Data Engineer

Job ID: 2510404

Location: SAN DIEGO, CA, US

Date Posted: 2025-10-02

Category: Information Technology

Subcategory: Database Engr

Schedule: Full-time

Shift: Day Job

Travel: Yes, 10 % of the Time

Minimum Clearance Required: TS/SCI

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: No

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: .

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