Job DescriptionJob Description Overview Senior Database EngineerLocation: On-Site at Customer Location (Annapolis Junction, MD) Clearance Required: TS/SCI with Poly Are you ready to take your database engineering expertise to the next level and support mission-critical operations? BigBear.ai is seeking a Senior Database Engineer to join our team and assist in meeting the needs of our government customer. In this role, you'll work onsite at the assigned customer location, ensuring optimized database performance and delivering solutions that directly impact national security. If you're passionate about database management, agile development, and building scalable solutions, we want to hear from you! Responsibilities Optimize Performance: Monitor databases and related systems to ensure they are running efficiently and effectively. Support Agile Development: Participate in agile activities, including release planning, sprint planning, and retrospectives, to incorporate lessons learned into engineering processes. Model Data: Design local schemas, tables, data types, indexes, procedures, and functions to support mission needs. Collaborate with Developers: Work closely with developers throughout the application development lifecycle to build features that deliver value to our customers. Qualifications Experience: Bachelor's Degree and 10+ years of database experience. Clearance: TS/SCI with Poly (required). Technical Expertise: Proficiency in database technologies such as MongoDB or MariaDB, including: Deployment and management of the database itself. Debugging and resolving optimization issues. Scaling databases to meet performance demands. Experience with Django or Flask frameworks. Familiarity with REST endpoints and microservices.
06/08/2026
Full time
Job DescriptionJob Description Overview Senior Database EngineerLocation: On-Site at Customer Location (Annapolis Junction, MD) Clearance Required: TS/SCI with Poly Are you ready to take your database engineering expertise to the next level and support mission-critical operations? BigBear.ai is seeking a Senior Database Engineer to join our team and assist in meeting the needs of our government customer. In this role, you'll work onsite at the assigned customer location, ensuring optimized database performance and delivering solutions that directly impact national security. If you're passionate about database management, agile development, and building scalable solutions, we want to hear from you! Responsibilities Optimize Performance: Monitor databases and related systems to ensure they are running efficiently and effectively. Support Agile Development: Participate in agile activities, including release planning, sprint planning, and retrospectives, to incorporate lessons learned into engineering processes. Model Data: Design local schemas, tables, data types, indexes, procedures, and functions to support mission needs. Collaborate with Developers: Work closely with developers throughout the application development lifecycle to build features that deliver value to our customers. Qualifications Experience: Bachelor's Degree and 10+ years of database experience. Clearance: TS/SCI with Poly (required). Technical Expertise: Proficiency in database technologies such as MongoDB or MariaDB, including: Deployment and management of the database itself. Debugging and resolving optimization issues. Scaling databases to meet performance demands. Experience with Django or Flask frameworks. Familiarity with REST endpoints and microservices.
Job DescriptionJob Description Overview Senior Database EngineerLocation: On-Site at Customer Location (Annapolis Junction, MD) Clearance Required: TS/SCI with Poly Are you ready to take your database engineering expertise to the next level and support mission-critical operations? BigBear.ai is seeking a Senior Database Engineer to join our team and assist in meeting the needs of our government customer. In this role, you'll work onsite at the assigned customer location, ensuring optimized database performance and delivering solutions that directly impact national security. If you're passionate about database management, agile development, and building scalable solutions, we want to hear from you! Responsibilities Optimize Performance: Monitor databases and related systems to ensure they are running efficiently and effectively. Support Agile Development: Participate in agile activities, including release planning, sprint planning, and retrospectives, to incorporate lessons learned into engineering processes. Model Data: Design local schemas, tables, data types, indexes, procedures, and functions to support mission needs. Collaborate with Developers: Work closely with developers throughout the application development lifecycle to build features that deliver value to our customers. Qualifications Experience: Bachelor's Degree and 10+ years of database experience. Clearance: TS/SCI with Poly (required). Technical Expertise: Proficiency in database technologies such as MongoDB or MariaDB, including: Deployment and management of the database itself. Debugging and resolving optimization issues. Scaling databases to meet performance demands. Experience with Django or Flask frameworks. Familiarity with REST endpoints and microservices.
06/08/2026
Full time
Job DescriptionJob Description Overview Senior Database EngineerLocation: On-Site at Customer Location (Annapolis Junction, MD) Clearance Required: TS/SCI with Poly Are you ready to take your database engineering expertise to the next level and support mission-critical operations? BigBear.ai is seeking a Senior Database Engineer to join our team and assist in meeting the needs of our government customer. In this role, you'll work onsite at the assigned customer location, ensuring optimized database performance and delivering solutions that directly impact national security. If you're passionate about database management, agile development, and building scalable solutions, we want to hear from you! Responsibilities Optimize Performance: Monitor databases and related systems to ensure they are running efficiently and effectively. Support Agile Development: Participate in agile activities, including release planning, sprint planning, and retrospectives, to incorporate lessons learned into engineering processes. Model Data: Design local schemas, tables, data types, indexes, procedures, and functions to support mission needs. Collaborate with Developers: Work closely with developers throughout the application development lifecycle to build features that deliver value to our customers. Qualifications Experience: Bachelor's Degree and 10+ years of database experience. Clearance: TS/SCI with Poly (required). Technical Expertise: Proficiency in database technologies such as MongoDB or MariaDB, including: Deployment and management of the database itself. Debugging and resolving optimization issues. Scaling databases to meet performance demands. Experience with Django or Flask frameworks. Familiarity with REST endpoints and microservices.
Job DescriptionJob Description Overview BigBear.ai is seeking a Senior Data Engineer to conduct design, implement, and operate data management systems for intelligence needs. The successful candidate will design how data will be stored, accessed, used, integrated, and managed by different data regimes and digital systems. An employee in this position will work with data users to determine, create, and populate optimal data architectures, structures, and systems. This position will be based out of Washington, D.C. or the greater National Capital Region (NCR). This is an opportunity to get in on the "ground level" of a new and exciting program with a critical Department of War (DoW) customer. An active TS/SCI w/poly is highly desired. Responsibilities Plan, design, and optimize data throughput and query performance. Participate in the selection of backend database technologies (e.g., SQL, NoSQL, HPC, etc.), their configuration and utilization, and the optimization of the full data pipeline infrastructure to support the actual content, volume, ETL, and periodicity of data to support the intended kinds of queries and analysis to match expected responsiveness. Qualifications Must possess a TS/SCI clearance with a poly (or ability to obtain) Bachelor's degree in a STEM field Minimum of 8 years of experience supporting analysis using data engineering, with at least a portion of experience within the last 2 years Deep experience using various data engineering tools and technologies (SQL, NoSQL, HPC, etc.) and of the ETL process, especially as it pertains to US Government customer systems
06/08/2026
Full time
Job DescriptionJob Description Overview BigBear.ai is seeking a Senior Data Engineer to conduct design, implement, and operate data management systems for intelligence needs. The successful candidate will design how data will be stored, accessed, used, integrated, and managed by different data regimes and digital systems. An employee in this position will work with data users to determine, create, and populate optimal data architectures, structures, and systems. This position will be based out of Washington, D.C. or the greater National Capital Region (NCR). This is an opportunity to get in on the "ground level" of a new and exciting program with a critical Department of War (DoW) customer. An active TS/SCI w/poly is highly desired. Responsibilities Plan, design, and optimize data throughput and query performance. Participate in the selection of backend database technologies (e.g., SQL, NoSQL, HPC, etc.), their configuration and utilization, and the optimization of the full data pipeline infrastructure to support the actual content, volume, ETL, and periodicity of data to support the intended kinds of queries and analysis to match expected responsiveness. Qualifications Must possess a TS/SCI clearance with a poly (or ability to obtain) Bachelor's degree in a STEM field Minimum of 8 years of experience supporting analysis using data engineering, with at least a portion of experience within the last 2 years Deep experience using various data engineering tools and technologies (SQL, NoSQL, HPC, etc.) and of the ETL process, especially as it pertains to US Government customer systems
Job DescriptionJob Description Overview BigBear.ai is seeking a Senior Data Engineer to conduct design, implement, and operate data management systems for intelligence needs. The successful candidate will design how data will be stored, accessed, used, integrated, and managed by different data regimes and digital systems. An employee in this position will work with data users to determine, create, and populate optimal data architectures, structures, and systems. This position will be based out of Washington, D.C. or the greater National Capital Region (NCR). This is an opportunity to get in on the "ground level" of a new and exciting program with a critical Department of War (DoW) customer. An active TS/SCI w/poly is highly desired. Responsibilities Plan, design, and optimize data throughput and query performance. Participate in the selection of backend database technologies (e.g., SQL, NoSQL, HPC, etc.), their configuration and utilization, and the optimization of the full data pipeline infrastructure to support the actual content, volume, ETL, and periodicity of data to support the intended kinds of queries and analysis to match expected responsiveness. Qualifications Must possess a TS/SCI clearance with a poly (or ability to obtain) Bachelor's degree in a STEM field Minimum of 8 years of experience supporting analysis using data engineering, with at least a portion of experience within the last 2 years Deep experience using various data engineering tools and technologies (SQL, NoSQL, HPC, etc.) and of the ETL process, especially as it pertains to US Government customer systems
06/08/2026
Full time
Job DescriptionJob Description Overview BigBear.ai is seeking a Senior Data Engineer to conduct design, implement, and operate data management systems for intelligence needs. The successful candidate will design how data will be stored, accessed, used, integrated, and managed by different data regimes and digital systems. An employee in this position will work with data users to determine, create, and populate optimal data architectures, structures, and systems. This position will be based out of Washington, D.C. or the greater National Capital Region (NCR). This is an opportunity to get in on the "ground level" of a new and exciting program with a critical Department of War (DoW) customer. An active TS/SCI w/poly is highly desired. Responsibilities Plan, design, and optimize data throughput and query performance. Participate in the selection of backend database technologies (e.g., SQL, NoSQL, HPC, etc.), their configuration and utilization, and the optimization of the full data pipeline infrastructure to support the actual content, volume, ETL, and periodicity of data to support the intended kinds of queries and analysis to match expected responsiveness. Qualifications Must possess a TS/SCI clearance with a poly (or ability to obtain) Bachelor's degree in a STEM field Minimum of 8 years of experience supporting analysis using data engineering, with at least a portion of experience within the last 2 years Deep experience using various data engineering tools and technologies (SQL, NoSQL, HPC, etc.) and of the ETL process, especially as it pertains to US Government customer systems
Job DescriptionJob Description Overview BigBear.ai is seeking a Data Engineer to conduct design, implement, and operate data management systems for intelligence needs. The successful candidate will design how data will be stored, accessed, used, integrated, and managed by different data regimes and digital systems. An employee in this position will work with data users to determine, create, and populate optimal data architectures, structures, and systems. This position will be based out of Washington, D.C. or the greater National Capital Region (NCR). This is an opportunity to get in on the "ground level" of a new and exciting program with a critical Department of War (DoW) customer. Responsibilities Plan, design, and optimize data throughput and query performance. Participate in the selection of backend database technologies (e.g., SQL, NoSQL, HPC, etc.), their configuration and utilization, and the optimization of the full data pipeline infrastructure to support the actual content, volume, ETL, and periodicity of data to support the intended kinds of queries and analysis to match expected responsiveness. Qualifications Must possess a TS/SCI clearance with a poly (or ability to obtain) Bachelor's degree in a STEM field Minimum of 3 years of experience conducting analysis using data engineering (an additional 4 years of experience may be substituted for the above education requirements) Demonstrable experience using various data engineering tools and technologies (SQL, NoSQL, HPC, etc.) and a thorough understanding of the ETL process
06/08/2026
Full time
Job DescriptionJob Description Overview BigBear.ai is seeking a Data Engineer to conduct design, implement, and operate data management systems for intelligence needs. The successful candidate will design how data will be stored, accessed, used, integrated, and managed by different data regimes and digital systems. An employee in this position will work with data users to determine, create, and populate optimal data architectures, structures, and systems. This position will be based out of Washington, D.C. or the greater National Capital Region (NCR). This is an opportunity to get in on the "ground level" of a new and exciting program with a critical Department of War (DoW) customer. Responsibilities Plan, design, and optimize data throughput and query performance. Participate in the selection of backend database technologies (e.g., SQL, NoSQL, HPC, etc.), their configuration and utilization, and the optimization of the full data pipeline infrastructure to support the actual content, volume, ETL, and periodicity of data to support the intended kinds of queries and analysis to match expected responsiveness. Qualifications Must possess a TS/SCI clearance with a poly (or ability to obtain) Bachelor's degree in a STEM field Minimum of 3 years of experience conducting analysis using data engineering (an additional 4 years of experience may be substituted for the above education requirements) Demonstrable experience using various data engineering tools and technologies (SQL, NoSQL, HPC, etc.) and a thorough understanding of the ETL process
Job DescriptionJob Description Overview BigBear.ai is seeking a Data Engineer to conduct design, implement, and operate data management systems for intelligence needs. The successful candidate will design how data will be stored, accessed, used, integrated, and managed by different data regimes and digital systems. An employee in this position will work with data users to determine, create, and populate optimal data architectures, structures, and systems. This position will be based out of Washington, D.C. or the greater National Capital Region (NCR). This is an opportunity to get in on the "ground level" of a new and exciting program with a critical Department of War (DoW) customer. Responsibilities Plan, design, and optimize data throughput and query performance. Participate in the selection of backend database technologies (e.g., SQL, NoSQL, HPC, etc.), their configuration and utilization, and the optimization of the full data pipeline infrastructure to support the actual content, volume, ETL, and periodicity of data to support the intended kinds of queries and analysis to match expected responsiveness. Qualifications Must possess a TS/SCI clearance with a poly (or ability to obtain) Bachelor's degree in a STEM field Minimum of 3 years of experience conducting analysis using data engineering (an additional 4 years of experience may be substituted for the above education requirements) Demonstrable experience using various data engineering tools and technologies (SQL, NoSQL, HPC, etc.) and a thorough understanding of the ETL process
06/08/2026
Full time
Job DescriptionJob Description Overview BigBear.ai is seeking a Data Engineer to conduct design, implement, and operate data management systems for intelligence needs. The successful candidate will design how data will be stored, accessed, used, integrated, and managed by different data regimes and digital systems. An employee in this position will work with data users to determine, create, and populate optimal data architectures, structures, and systems. This position will be based out of Washington, D.C. or the greater National Capital Region (NCR). This is an opportunity to get in on the "ground level" of a new and exciting program with a critical Department of War (DoW) customer. Responsibilities Plan, design, and optimize data throughput and query performance. Participate in the selection of backend database technologies (e.g., SQL, NoSQL, HPC, etc.), their configuration and utilization, and the optimization of the full data pipeline infrastructure to support the actual content, volume, ETL, and periodicity of data to support the intended kinds of queries and analysis to match expected responsiveness. Qualifications Must possess a TS/SCI clearance with a poly (or ability to obtain) Bachelor's degree in a STEM field Minimum of 3 years of experience conducting analysis using data engineering (an additional 4 years of experience may be substituted for the above education requirements) Demonstrable experience using various data engineering tools and technologies (SQL, NoSQL, HPC, etc.) and a thorough understanding of the ETL process
Job DescriptionJob Description Overview BigBear.ai are seeking a highly skilled and motivated Data Engineer to join our Data Architecture & Engineering team. In this role, you will design and build scalable, secure, and efficient data pipelines that transform raw data into actionable insights. You'll work across cloud environments, databases, and development teams to support mission-critical applications, analytics, and reporting. This position requires expertise in ETL development, AWS cloud services, and database management, along with a strong foundation in Agile software development practices. Responsibilities Design and develop end-to-end data pipelines that support ingestion, transformation, and delivery of structured and unstructured data using tools and frameworks aligned with ETL architecture best practices. Build and maintain ETL processes that ensure data quality, consistency, and performance across multiple environments. Integrate data pipelines with Amazon Web Services (AWS), leveraging services such as S3, Lambda, Glue, and Redshift to enable scalable and secure data processing. Develop and maintain schemas, data dictionaries, and transformation logic to support robust data architecture and documentation. Manage and monitor production datasets, ensuring fault tolerance, redundancy, and data integrity across systems. Collaborate with cross-functional teams to design and launch new data features, including documentation of dataflows, capabilities, and technical support procedures. Support database management and administration tasks such as performance tuning, indexing, and access control. Apply Agile software development practices to deliver iterative improvements and respond to evolving data needs. Develop and integrate APIs to support data access and interoperability across systems. Work with cloud messaging APIs and implement push notification mechanisms where applicable Continuously explore and adopt new tools, technologies, and methods to improve data engineering practices and support mission-driven outcomes Qualifications Clearance: Must possess and maintain a TS-SCI clearance Bachelor's degree in computer science, Engineering, Information Systems, or a related field 4-8 years of relevant experience in data engineering, ETL development, or database administration Proficiency in Amazon Web Services (AWS) and cloud-based data integration Strong experience with ETL architecture, data pipeline development, and end-to-end data processing Solid understanding of database management, including schema design, indexing, and optimization Experience with API development and integration Ability to manage and transform raw data into usable formats for analytics and reporting Familiarity with Agile methodologies and collaborative development environments Strong problem-solving skills, attention to detail, and ability to provide technical support for data systems
06/08/2026
Full time
Job DescriptionJob Description Overview BigBear.ai are seeking a highly skilled and motivated Data Engineer to join our Data Architecture & Engineering team. In this role, you will design and build scalable, secure, and efficient data pipelines that transform raw data into actionable insights. You'll work across cloud environments, databases, and development teams to support mission-critical applications, analytics, and reporting. This position requires expertise in ETL development, AWS cloud services, and database management, along with a strong foundation in Agile software development practices. Responsibilities Design and develop end-to-end data pipelines that support ingestion, transformation, and delivery of structured and unstructured data using tools and frameworks aligned with ETL architecture best practices. Build and maintain ETL processes that ensure data quality, consistency, and performance across multiple environments. Integrate data pipelines with Amazon Web Services (AWS), leveraging services such as S3, Lambda, Glue, and Redshift to enable scalable and secure data processing. Develop and maintain schemas, data dictionaries, and transformation logic to support robust data architecture and documentation. Manage and monitor production datasets, ensuring fault tolerance, redundancy, and data integrity across systems. Collaborate with cross-functional teams to design and launch new data features, including documentation of dataflows, capabilities, and technical support procedures. Support database management and administration tasks such as performance tuning, indexing, and access control. Apply Agile software development practices to deliver iterative improvements and respond to evolving data needs. Develop and integrate APIs to support data access and interoperability across systems. Work with cloud messaging APIs and implement push notification mechanisms where applicable Continuously explore and adopt new tools, technologies, and methods to improve data engineering practices and support mission-driven outcomes Qualifications Clearance: Must possess and maintain a TS-SCI clearance Bachelor's degree in computer science, Engineering, Information Systems, or a related field 4-8 years of relevant experience in data engineering, ETL development, or database administration Proficiency in Amazon Web Services (AWS) and cloud-based data integration Strong experience with ETL architecture, data pipeline development, and end-to-end data processing Solid understanding of database management, including schema design, indexing, and optimization Experience with API development and integration Ability to manage and transform raw data into usable formats for analytics and reporting Familiarity with Agile methodologies and collaborative development environments Strong problem-solving skills, attention to detail, and ability to provide technical support for data systems
Job DescriptionJob Description Overview BigBear.ai are seeking a highly skilled and motivated Data Engineer to join our Data Architecture & Engineering team. In this role, you will design and build scalable, secure, and efficient data pipelines that transform raw data into actionable insights. You'll work across cloud environments, databases, and development teams to support mission-critical applications, analytics, and reporting. This position requires expertise in ETL development, AWS cloud services, and database management, along with a strong foundation in Agile software development practices. Responsibilities Design and develop end-to-end data pipelines that support ingestion, transformation, and delivery of structured and unstructured data using tools and frameworks aligned with ETL architecture best practices. Build and maintain ETL processes that ensure data quality, consistency, and performance across multiple environments. Integrate data pipelines with Amazon Web Services (AWS), leveraging services such as S3, Lambda, Glue, and Redshift to enable scalable and secure data processing. Develop and maintain schemas, data dictionaries, and transformation logic to support robust data architecture and documentation. Manage and monitor production datasets, ensuring fault tolerance, redundancy, and data integrity across systems. Collaborate with cross-functional teams to design and launch new data features, including documentation of dataflows, capabilities, and technical support procedures. Support database management and administration tasks such as performance tuning, indexing, and access control. Apply Agile software development practices to deliver iterative improvements and respond to evolving data needs. Develop and integrate APIs to support data access and interoperability across systems. Work with cloud messaging APIs and implement push notification mechanisms where applicable Continuously explore and adopt new tools, technologies, and methods to improve data engineering practices and support mission-driven outcomes Qualifications Clearance: Must possess and maintain a TS-SCI clearance Bachelor's degree in computer science, Engineering, Information Systems, or a related field 4-8 years of relevant experience in data engineering, ETL development, or database administration Proficiency in Amazon Web Services (AWS) and cloud-based data integration Strong experience with ETL architecture, data pipeline development, and end-to-end data processing Solid understanding of database management, including schema design, indexing, and optimization Experience with API development and integration Ability to manage and transform raw data into usable formats for analytics and reporting Familiarity with Agile methodologies and collaborative development environments Strong problem-solving skills, attention to detail, and ability to provide technical support for data systems
06/08/2026
Full time
Job DescriptionJob Description Overview BigBear.ai are seeking a highly skilled and motivated Data Engineer to join our Data Architecture & Engineering team. In this role, you will design and build scalable, secure, and efficient data pipelines that transform raw data into actionable insights. You'll work across cloud environments, databases, and development teams to support mission-critical applications, analytics, and reporting. This position requires expertise in ETL development, AWS cloud services, and database management, along with a strong foundation in Agile software development practices. Responsibilities Design and develop end-to-end data pipelines that support ingestion, transformation, and delivery of structured and unstructured data using tools and frameworks aligned with ETL architecture best practices. Build and maintain ETL processes that ensure data quality, consistency, and performance across multiple environments. Integrate data pipelines with Amazon Web Services (AWS), leveraging services such as S3, Lambda, Glue, and Redshift to enable scalable and secure data processing. Develop and maintain schemas, data dictionaries, and transformation logic to support robust data architecture and documentation. Manage and monitor production datasets, ensuring fault tolerance, redundancy, and data integrity across systems. Collaborate with cross-functional teams to design and launch new data features, including documentation of dataflows, capabilities, and technical support procedures. Support database management and administration tasks such as performance tuning, indexing, and access control. Apply Agile software development practices to deliver iterative improvements and respond to evolving data needs. Develop and integrate APIs to support data access and interoperability across systems. Work with cloud messaging APIs and implement push notification mechanisms where applicable Continuously explore and adopt new tools, technologies, and methods to improve data engineering practices and support mission-driven outcomes Qualifications Clearance: Must possess and maintain a TS-SCI clearance Bachelor's degree in computer science, Engineering, Information Systems, or a related field 4-8 years of relevant experience in data engineering, ETL development, or database administration Proficiency in Amazon Web Services (AWS) and cloud-based data integration Strong experience with ETL architecture, data pipeline development, and end-to-end data processing Solid understanding of database management, including schema design, indexing, and optimization Experience with API development and integration Ability to manage and transform raw data into usable formats for analytics and reporting Familiarity with Agile methodologies and collaborative development environments Strong problem-solving skills, attention to detail, and ability to provide technical support for data systems