Data Engineer (Op AI) Job at SAIC in San Diego
SAIC, San Diego, CA, United States
Job ID 2610656
Location San Diego, CA, US
Date Posted 2026-03-25
Category Information Technology
Subcategory Database Engr
Schedule Full-Time
Shift Day Job
Travel Yes - 10% of the time
Minimum Clearance Required Top_Secret
Clearance Level Must Be Able to Obtain TS/SCI
Potential for Remote Work ORA_ON_SITE
Description SAIC is seeking a Data Engineer in support of NAVWAR’s Naval Operational Architecture (NOA) program. 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.
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 and we are looking to hire in either one of the following locations listed below and you must be local to one of them
San Diego, CA
Charleston, SC
Monterey, CA
Washington Liason Office and Pentagon
Fort Carson, CO
Colorado Springs, CO
Denver, CO
There will be up to 15% of travel required for this role.
Please view our program page for more information and to view all open positions available https//jobs.saic.com/pages/NOA
Job Duties Conduct data pre-processing, exploratory data analysis, and data pipeline engineering to ensure performant and high-quality data output.
Conduct thorough testing and validation of data pipelines and analytics to ensure accuracy, reliability, and robustness.
Design or normalize data to common standards to support interoperability and analytical workflows.
Develop and deploy data pipelines and analytics in real-world applications.
Work with multiple data formats, including CSV, JSON, XML, Parquet, and ORC.
Perform exploratory data analysis, algorithm development, and testing.
Deploy, monitor, and improve data pipelines for operational environments.
Implement event streaming pipelines using Apache Kafka, RabbitMQ, or ZeroMQ.
Collaborate with analytics, engineering, and mission teams to ensure effective data integration and output quality.
Stay current with emerging trends in data engineering, distributed systems, and modern data architecture.
Document data processes, pipeline structures, and engineering best practices.
Qualifications Education and Years of Experience Requirements
Bachelor’s degree in computer science, Data Science, Engineering, Mathematics, Statistics, or a related STEM field and eight (8) years of experience in of AI/ML experience in defense or intelligence environments. Years of equivalent experience in lieu of degree to be taken into consideration.
Citizenship And Clearance Requirements
No dual citizenship.
Active Top Secret clearance required to start; TS SCI clearance preferred.
Required Skills And Experience
Strong programming skills in Python, G, Rust, Pandas, R, SQL, or related languages
3 years of experience as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst/engineer, machine learning engineer, or software engineer, or related field.
Willingness to travel.
100% On Site willingness.
Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders(stairwells) and navigating confined spaces while maintaining required points of contact. Tools and equipment will weigh no more than 50 lbs.
Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending, and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions.
Ability to perform activities on a reoccurring basis during shipboard operations or testing evolutions.
Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE).
Ability to operate in a DDIL office environment
Reasonable accommodations may be provided to enable qualified individuals to meet these requirements and perform the essential functions of the position.
Candidates should be prepared to complete a coding exercise as part of the interview process.
Preferred Skills And Experience Experience with large-scale data architecture across secure DoD or government environments.
Experience supporting NAVWAR, NIWC Pacific, or other Navy programs.
Experience integrating production data pipelines and analytics into operational mission systems, including secure deployment, monitoring, troubleshooting, and performance tuning.
Familiarity with MLOps practices or deploying analytics/ML-enabled pipelines in classified, cross-domain, or constrained environments.
Experience designing and/or normalizing data to common standards to support interoperability across teams/systems.
Experience working with multiple data formats (e.g., CSV, JSON, XML, Parquet, ORC).
Familiarity with event streaming platforms (e.g., Apache Kafka, RabbitMQ, ZeroMQ).
Experience with data pipeline frameworks and libraries (e.g., Apache Airflow, dbt, AirByte, Apache Iceberg, Snowflake or similar).
Experience with geospatial data retrieving and managing GIS data (e.g., ArcGIS, PostGIS).
Expertise with Elasticsearch, Redis, S3, PostgreSQL, or similar data stores.
Experience with distributed computing (AWS Lambda, DASK, Spark).
Familiarity with cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes).
Understanding of cybersecurity principles as applied to data applications and operational environments (including DDIL constraints).
Target salary range $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
#J-18808-Ljbffr
In Summary: SAIC is seeking a Data Engineer in support of NAVWAR’s Naval Operational Architecture (NOA) program . 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 .
En Español: ID de trabajo 2610656 Ubicación San Diego, CA, Estados Unidos Fecha publicada 2026-03-25 Categoría Tecnología de la Información Subcategoria Base de Datos Engr Orden del Día de Trabajo de Vuelo a tiempo completo Sí - 10% del tiempo Mínimo Clearance Required Top_Secret Clearance Level Must Be Able to Obtain TS/SCI Potential for Remote Work ORA_ON_SITE Description SAIC está buscando un ingeniero de datos para apoyar el programa Naval Operational Architecture (NOA) de NAVWAR. El Ingeniero de Datas apoyará una iniciativa transformadora centrada en redes dirigida por la Armada que converge los sistemas existentes, automatizar la correlación de múltiples flujos de datos ISR, reduciendo drásticamente la línea de tiempo "shooter-to-sensor". Este es un contrato recientemente adjudicado, financiado durante cinco años. Este es un contrato recientemente adjudicado, financiado por cinco años. Por favor consulte nuestra página de programa para obtener más información y ver todos los puestos abiertos disponibles en https://jobs.saic.com/pages/NOA Duties of Job We are looking to hire in either of the following locations listed below and you must be local to one of them San Diego, CA Charleston, SC Monterey, CA Washington Liason Office and Pentagon Fort Carson, CO Colorado Springs, CO Denver, CO Se requiere hasta el 15% del viaje requerido para este papel. Consulte la página de nuestro programa para conocer todas las posiciones abiertas disponibles https//jobs.seic. com/pagas/NoA Trabajos tareas Conduce el preprocesamiento de datos, análisis de datos exploratorios e ingeniería de datos para garantizar datos de alto rendimiento y alta calidad. Realiza pruebas minuciosas y validación de tuberías de datos Apache para asegurar la exactitud, fiabilidad y precisión de los procesos de transmisión de datos. Años de experiencia equivalente en lugar del grado a tener en cuenta. Ciudadanía y requisitos de autorización No se requiere doble ciudadanía. Activa Top Secret clearance requerida para comenzar; TS SCI clearance preferido. Habilidades requeridas Y Experiencia Competencias de programación fuertes en Python, G, Rust, Pandas, R, SQL o idiomas relacionados 3 años de experiencia como analista de negocios, analitico de datos, científico de los datos, ingeniero de información, administrador de bases de datos , analista geoespacial/ingeniero, técnico de aprendizaje automático o ingeniero software o campo relacionado. Disponibilidad para viajar. 100% En el sitio voluntad. Capacidad para llevar con seguridad herramientas, equipos y materiales a bordo del barco, incluyendo subir y bajar escaleras embarcadas) Las herramientas y el equipo pesarán no más de 50 libras. Capacidad para realizar los trabajos requeridos a bordo de buques de la Marina y en entornos de embarque DDIL, incluyendo navegar por pasillos estrechos, escaleras ascendentes y descendentes (escalas), trabajar en plataformas elevadas y operar en condiciones marítimas variables. La capacidad de llevar a cabo actividades sobre una base recurrente durante las operaciones de navegación o evoluciones de pruebas. La estimación mostrada representa el rango salarial típico de este puesto basado en la experiencia y otros factores. #J-18808-Ljbffr
Location San Diego, CA, US
Date Posted 2026-03-25
Category Information Technology
Subcategory Database Engr
Schedule Full-Time
Shift Day Job
Travel Yes - 10% of the time
Minimum Clearance Required Top_Secret
Clearance Level Must Be Able to Obtain TS/SCI
Potential for Remote Work ORA_ON_SITE
Description SAIC is seeking a Data Engineer in support of NAVWAR’s Naval Operational Architecture (NOA) program. 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.
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 and we are looking to hire in either one of the following locations listed below and you must be local to one of them
San Diego, CA
Charleston, SC
Monterey, CA
Washington Liason Office and Pentagon
Fort Carson, CO
Colorado Springs, CO
Denver, CO
There will be up to 15% of travel required for this role.
Please view our program page for more information and to view all open positions available https//jobs.saic.com/pages/NOA
Job Duties Conduct data pre-processing, exploratory data analysis, and data pipeline engineering to ensure performant and high-quality data output.
Conduct thorough testing and validation of data pipelines and analytics to ensure accuracy, reliability, and robustness.
Design or normalize data to common standards to support interoperability and analytical workflows.
Develop and deploy data pipelines and analytics in real-world applications.
Work with multiple data formats, including CSV, JSON, XML, Parquet, and ORC.
Perform exploratory data analysis, algorithm development, and testing.
Deploy, monitor, and improve data pipelines for operational environments.
Implement event streaming pipelines using Apache Kafka, RabbitMQ, or ZeroMQ.
Collaborate with analytics, engineering, and mission teams to ensure effective data integration and output quality.
Stay current with emerging trends in data engineering, distributed systems, and modern data architecture.
Document data processes, pipeline structures, and engineering best practices.
Qualifications Education and Years of Experience Requirements
Bachelor’s degree in computer science, Data Science, Engineering, Mathematics, Statistics, or a related STEM field and eight (8) years of experience in of AI/ML experience in defense or intelligence environments. Years of equivalent experience in lieu of degree to be taken into consideration.
Citizenship And Clearance Requirements
No dual citizenship.
Active Top Secret clearance required to start; TS SCI clearance preferred.
Required Skills And Experience
Strong programming skills in Python, G, Rust, Pandas, R, SQL, or related languages
3 years of experience as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst/engineer, machine learning engineer, or software engineer, or related field.
Willingness to travel.
100% On Site willingness.
Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders(stairwells) and navigating confined spaces while maintaining required points of contact. Tools and equipment will weigh no more than 50 lbs.
Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending, and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions.
Ability to perform activities on a reoccurring basis during shipboard operations or testing evolutions.
Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE).
Ability to operate in a DDIL office environment
Reasonable accommodations may be provided to enable qualified individuals to meet these requirements and perform the essential functions of the position.
Candidates should be prepared to complete a coding exercise as part of the interview process.
Preferred Skills And Experience Experience with large-scale data architecture across secure DoD or government environments.
Experience supporting NAVWAR, NIWC Pacific, or other Navy programs.
Experience integrating production data pipelines and analytics into operational mission systems, including secure deployment, monitoring, troubleshooting, and performance tuning.
Familiarity with MLOps practices or deploying analytics/ML-enabled pipelines in classified, cross-domain, or constrained environments.
Experience designing and/or normalizing data to common standards to support interoperability across teams/systems.
Experience working with multiple data formats (e.g., CSV, JSON, XML, Parquet, ORC).
Familiarity with event streaming platforms (e.g., Apache Kafka, RabbitMQ, ZeroMQ).
Experience with data pipeline frameworks and libraries (e.g., Apache Airflow, dbt, AirByte, Apache Iceberg, Snowflake or similar).
Experience with geospatial data retrieving and managing GIS data (e.g., ArcGIS, PostGIS).
Expertise with Elasticsearch, Redis, S3, PostgreSQL, or similar data stores.
Experience with distributed computing (AWS Lambda, DASK, Spark).
Familiarity with cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes).
Understanding of cybersecurity principles as applied to data applications and operational environments (including DDIL constraints).
Target salary range $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
#J-18808-Ljbffr
In Summary: SAIC is seeking a Data Engineer in support of NAVWAR’s Naval Operational Architecture (NOA) program . 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 .
En Español: ID de trabajo 2610656 Ubicación San Diego, CA, Estados Unidos Fecha publicada 2026-03-25 Categoría Tecnología de la Información Subcategoria Base de Datos Engr Orden del Día de Trabajo de Vuelo a tiempo completo Sí - 10% del tiempo Mínimo Clearance Required Top_Secret Clearance Level Must Be Able to Obtain TS/SCI Potential for Remote Work ORA_ON_SITE Description SAIC está buscando un ingeniero de datos para apoyar el programa Naval Operational Architecture (NOA) de NAVWAR. El Ingeniero de Datas apoyará una iniciativa transformadora centrada en redes dirigida por la Armada que converge los sistemas existentes, automatizar la correlación de múltiples flujos de datos ISR, reduciendo drásticamente la línea de tiempo "shooter-to-sensor". Este es un contrato recientemente adjudicado, financiado durante cinco años. Este es un contrato recientemente adjudicado, financiado por cinco años. Por favor consulte nuestra página de programa para obtener más información y ver todos los puestos abiertos disponibles en https://jobs.saic.com/pages/NOA Duties of Job We are looking to hire in either of the following locations listed below and you must be local to one of them San Diego, CA Charleston, SC Monterey, CA Washington Liason Office and Pentagon Fort Carson, CO Colorado Springs, CO Denver, CO Se requiere hasta el 15% del viaje requerido para este papel. Consulte la página de nuestro programa para conocer todas las posiciones abiertas disponibles https//jobs.seic. com/pagas/NoA Trabajos tareas Conduce el preprocesamiento de datos, análisis de datos exploratorios e ingeniería de datos para garantizar datos de alto rendimiento y alta calidad. Realiza pruebas minuciosas y validación de tuberías de datos Apache para asegurar la exactitud, fiabilidad y precisión de los procesos de transmisión de datos. Años de experiencia equivalente en lugar del grado a tener en cuenta. Ciudadanía y requisitos de autorización No se requiere doble ciudadanía. Activa Top Secret clearance requerida para comenzar; TS SCI clearance preferido. Habilidades requeridas Y Experiencia Competencias de programación fuertes en Python, G, Rust, Pandas, R, SQL o idiomas relacionados 3 años de experiencia como analista de negocios, analitico de datos, científico de los datos, ingeniero de información, administrador de bases de datos , analista geoespacial/ingeniero, técnico de aprendizaje automático o ingeniero software o campo relacionado. Disponibilidad para viajar. 100% En el sitio voluntad. Capacidad para llevar con seguridad herramientas, equipos y materiales a bordo del barco, incluyendo subir y bajar escaleras embarcadas) Las herramientas y el equipo pesarán no más de 50 libras. Capacidad para realizar los trabajos requeridos a bordo de buques de la Marina y en entornos de embarque DDIL, incluyendo navegar por pasillos estrechos, escaleras ascendentes y descendentes (escalas), trabajar en plataformas elevadas y operar en condiciones marítimas variables. La capacidad de llevar a cabo actividades sobre una base recurrente durante las operaciones de navegación o evoluciones de pruebas. La estimación mostrada representa el rango salarial típico de este puesto basado en la experiencia y otros factores. #J-18808-Ljbffr