Jobs via Dice
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 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. SAIC is a premier technology integrator providing full life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets. SAIC is an Equal Opportunity Employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
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TS/SCI cleared Senior Data Engineer
in support of NAVWAR's Naval Operational Architecture (NOA) program in San Diego, CA. The Data Engineer will 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. SAIC is a premier technology integrator providing full life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets. SAIC is an Equal Opportunity Employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
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