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Job ID: 2504910
Location: SAN DIEGO, CA, US
Date Posted: 2025-04-23
Category: Information Technology
Subcategory: Big Data Engineer
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: Top Secret
Clearance Level Must Be Able to Obtain: TS/SCI
Potential for Remote Work: No
Description
SAIC is seeking an experienced and dynamic Senior Data Engineer will oversee data integration efforts including developing and maintaining data models, supporting cleaning and transformation of data prior to data persistence, and writing scripts for data analysis. This role will work as a member of the Data Modeling team and work collaboratively with members of the Data Operations and Data Metrics and Assessment teams to interpret operational requirements, perform data modeling and integrate data from a variety of sources and implement secure data pipelines for near-real-time ingest from a myriad of tactical and intelligence community data sources. A major responsibility is implementing and enforcing data modeling best practices and version controlling of software and configuration among development, integration, and production environments.
Qualifications
U.S. Citizenship and an active TS clearance.
TYPICAL EDUCATION AND EXPERIENCE:
Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
SAIC accepts applications on an ongoing basis and there is no deadline.
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.
Location: SAN DIEGO, CA, US
Date Posted: 2025-04-23
Category: Information Technology
Subcategory: Big Data Engineer
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: Top Secret
Clearance Level Must Be Able to Obtain: TS/SCI
Potential for Remote Work: No
Description
SAIC is seeking an experienced and dynamic Senior Data Engineer will oversee data integration efforts including developing and maintaining data models, supporting cleaning and transformation of data prior to data persistence, and writing scripts for data analysis. This role will work as a member of the Data Modeling team and work collaboratively with members of the Data Operations and Data Metrics and Assessment teams to interpret operational requirements, perform data modeling and integrate data from a variety of sources and implement secure data pipelines for near-real-time ingest from a myriad of tactical and intelligence community data sources. A major responsibility is implementing and enforcing data modeling best practices and version controlling of software and configuration among development, integration, and production environments.
Qualifications
U.S. Citizenship and an active TS clearance.
TYPICAL EDUCATION AND EXPERIENCE:
- Bachelors and five (5) years or more experience; Masters and three (3) years or more experience; PhD or JD and fifteen years or more experience.
- Experience with tools for data routing and transformation such as NiFi, Airflow, or dbt.
- Strong in Java, Python, or SQL ETL/ELT data pipelines development supporting data-driven applications.
- Proficient in scripting such as Linux shell, Python, Perl, Javascript, or similar scripting languages.
- Proficient with data modeling conventions for both physical (ex: schemas) and logical data models (ex: UML). Experience with developing and maintaining data serialization tools such as Protobuf, Avro, JSON, and XML.
- Familiar with data security fundamentals such as encryption, pedigree, and provenance to ensure compliance of policy, processes, and procedures.
- Experience with source code management tools including git via GitHub, GitLab, or BitBucket.
- Experience with drafting and maintenance of technical documentation.
- Experience with RDBMS (ex: Oracle, Postgres, MySQL) and non-SQL DBs (ex: HBase, Accumulo, MongoDB, Neo4J) methodologies
- Familiarity with Cloud technologies such as Azure, AWS, or Google Cloud Platform.
- Experience working in a classified environment on operational networks such as SIPR or JWICS.
- Experience with Intelligence and C2 data sets including, but not limited to Link16, JREAP-C, SIGINT, MASINT, and GEOINT.
- Familiarity with DoD Architectural framework. Huge plus for experience with contributions to maintaining systems engineering artifacts adhering to DoDAF.
- Experience with cross domain methodologies.
- Familiarity with horizontally-scalable frameworks such as Hadoop, Docker, Kubernetes and Kafka.
Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
SAIC accepts applications on an ongoing basis and there is no deadline.
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job Job ID: 2504910
Location: SAN DIEGO, CA, US
Date Posted: 2025-04-23
Category: Information Technology
Subcategory: Big Data Engineer
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: Top Secret
Clearance Level Must Be Able to Obtain: TS/SCI
Potential for Remote Work: No
Description
SAIC is seeking an experienced and dynamic Senior Data Engineer will oversee data integration efforts including developing and maintaining data models, supporting cleaning and transformation of data prior to data persistence, and writing scripts for data analysis. This role will work as a member of the Data Modeling team and work collaboratively with members of the Data Operations and Data Metrics and Assessment teams to interpret operational requirements, perform data modeling and integrate data from a variety of sources and implement secure data pipelines for near-real-time ingest from a myriad of tactical and intelligence community data sources. A major responsibility is implementing and enforcing data modeling best practices and version controlling of software and configuration among development, integration, and production environments.
Qualifications
U.S. Citizenship and an active TS clearance.
TYPICAL EDUCATION AND EXPERIENCE:
Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
SAIC accepts applications on an ongoing basis and there is no deadline.
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.
Location: SAN DIEGO, CA, US
Date Posted: 2025-04-23
Category: Information Technology
Subcategory: Big Data Engineer
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: Top Secret
Clearance Level Must Be Able to Obtain: TS/SCI
Potential for Remote Work: No
Description
SAIC is seeking an experienced and dynamic Senior Data Engineer will oversee data integration efforts including developing and maintaining data models, supporting cleaning and transformation of data prior to data persistence, and writing scripts for data analysis. This role will work as a member of the Data Modeling team and work collaboratively with members of the Data Operations and Data Metrics and Assessment teams to interpret operational requirements, perform data modeling and integrate data from a variety of sources and implement secure data pipelines for near-real-time ingest from a myriad of tactical and intelligence community data sources. A major responsibility is implementing and enforcing data modeling best practices and version controlling of software and configuration among development, integration, and production environments.
Qualifications
U.S. Citizenship and an active TS clearance.
TYPICAL EDUCATION AND EXPERIENCE:
- Bachelors and five (5) years or more experience; Masters and three (3) years or more experience; PhD or JD and fifteen years or more experience.
- Experience with tools for data routing and transformation such as NiFi, Airflow, or dbt.
- Strong in Java, Python, or SQL ETL/ELT data pipelines development supporting data-driven applications.
- Proficient in scripting such as Linux shell, Python, Perl, Javascript, or similar scripting languages.
- Proficient with data modeling conventions for both physical (ex: schemas) and logical data models (ex: UML). Experience with developing and maintaining data serialization tools such as Protobuf, Avro, JSON, and XML.
- Familiar with data security fundamentals such as encryption, pedigree, and provenance to ensure compliance of policy, processes, and procedures.
- Experience with source code management tools including git via GitHub, GitLab, or BitBucket.
- Experience with drafting and maintenance of technical documentation.
- Experience with RDBMS (ex: Oracle, Postgres, MySQL) and non-SQL DBs (ex: HBase, Accumulo, MongoDB, Neo4J) methodologies
- Familiarity with Cloud technologies such as Azure, AWS, or Google Cloud Platform.
- Experience working in a classified environment on operational networks such as SIPR or JWICS.
- Experience with Intelligence and C2 data sets including, but not limited to Link16, JREAP-C, SIGINT, MASINT, and GEOINT.
- Familiarity with DoD Architectural framework. Huge plus for experience with contributions to maintaining systems engineering artifacts adhering to DoDAF.
- Experience with cross domain methodologies.
- Familiarity with horizontally-scalable frameworks such as Hadoop, Docker, Kubernetes and Kafka.
Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
SAIC accepts applications on an ongoing basis and there is no deadline.
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job