Data Engineer Mid

Amentum; Hawaii; On-site; USD 120,000 - 150,000; Full time

Job summary

Amentum is seeking a Mid-Level Data Engineer to design and maintain scalable data pipelines for intelligence operations. You will implement ETL processes and real-time data solutions, ensuring robust data models and compliant data governance across diverse sources.

The role requires experience with Python, SQL/NoSQL, cloud platforms, and a strong focus on data quality and security. Collaboration with intelligence analysts and participation in planning meetings is expected.

Qualifications

• Bachelor's degree in a technical field is required.
• Proficiency with Python (or R) and SQL/NoSQL databases.
• Experience with ETL tools and data pipelines.
• Experience with cloud-based data platforms and services.
• Strong understanding of data governance and information security.

Responsibilities

• Design and implement scalable data architectures for intelligence operations.
• Develop automated data ingestion, transformation, and integration processes.
• Build storage solutions using SQL and NoSQL technologies.
• Create data pipelines for batch and real-time processing.
• Implement data quality controls and monitoring systems.
• Optimize query performance and data access for analysts.
• Ensure compliance with IC standards and data governance.

Skills

Python

SQL

NoSQL

ETL tools

Data pipelines

Cloud platforms

Data governance

Security practices

Batch and real-time processing

Problem solving

Education

Bachelor's degree in Computer Science, Information Systems, Data Science, or related field

Tools

None

Job description

Purpose and Impact:

This position is contingent upon award of contract, business needs, security clearance verification, and funding availability. We are seeking a Mid-Level Data Engineer to support various locations. The ideal candidate will need to do the following. Designs, implements, and maintains robust data pipeline architectures to support complex intelligence operations. This position is responsible for developing scalable data infrastructure using industry-standard practices for data integration and storage to enable efficient intelligence analysis and decision-making. The Data Engineer implements extract, transform, load (ETL) processes and real-time data processing solutions that facilitate the ingestion, transformation, and integration of diverse intelligence sources. This role requires expertise in creating and optimizing data models and schemas to support efficient querying and analysis by intelligence personnel while ensuring compliance with IC security standards and data governance requirements.

Work Schedule:

Standard 40-hour work week between 0600 and 1800, Monday through Friday. Ability to work shift work if necessary.

Essential Responsibilities:

• Design and implement scalable data architectures to support intelligence operations, ensuring systems can handle growing volumes of data
• Develop automated processes for data ingestion, transformation, and integration from multiple sources, including conditioning of non-standard datasets
• Build efficient data storage solutions optimized for intelligence functions using appropriate SQL and NoSQL technologies
• Create and maintain data pipelines for both batch and real-time processing to ensure timely availability of critical intelligence data
• Implement data quality controls and monitoring systems that ensure integrity and reliability of information
• Optimize query performance and data access patterns to support rapid retrieval of intelligence data by analysts
• Implement data governance practices and quality assurance processes to ensure compliance with IC standards
• Develop and maintain comprehensive data documentation and lineage information to support data provenance requirements
• Create robust security measures to protect sensitive data in accordance with classification guidelines
• Collaborate with intelligence analysts to understand complex data requirements and develop appropriate technical solutions
• Actively participate in JIOC intelligence planning conferences and exercises, 12 working groups, intelligence system capability development meetings, Joint and national-level intelligence coordination boards, and technical exchange meetings with mission partners

Minimum Requirements (Knowledge, Skills, and Abilities):

• Proficiency in programming languages essential for data engineering, particularly Python (or R)
• Experience with database technologies including both SQL and NoSQL systems
• Knowledge of ETL tools and data pipeline frameworks
• Demonstrated experience with cloud-based data platforms and services
• Understanding of data governance principles and information security practices
• Experience designing and implementing data pipelines for batch and real-time processing
• Demonstrated ability to optimize database performance and query efficiency
• Experience integrating data from multiple sources and in various formats
• Familiarity with intelligence data types and collection methodologies

Security Clearance Required

• TS/SCI. Ability to take a poly if requested

Minimum Education

• Bachelor's degree in Computer Science, Information Systems, Data Science, or related technical field

Minimum Years of Experience

• Minimum 3-5 years of experience in data engineering, database administration, or similar roles.

This position is not designated as a safety sensitive position.

Amentum is a drug-free workplace and requires all personnel to comply with company drug and alcohol policies as a condition of employment. Employment is contingent upon successful completion of the drug screening process. Please note that this may include pre-hire screening for marijuana, as well as other federally controlled substances due to Amentum’s role as a federal contractor and trusted partner to the US Government.

Other Responsibilities:

Safety

Amentum enforces a safety culture whereby all employees have the responsibility for continuously developing and maintaining a safe work environment. As appropriate, each employee is responsible for completing all training requirements and fulfilling all self‑aid/buddy aid responsibilities, participating in emergency response tasks and serving on safety committees and teams.

Quality

Quality is the foundation for the management of our business and the keystone to our goal of customer satisfaction. It is our policy to consistently provide services that meet customer expectations. Accordingly, each employee must conform to the Amentum Quality Policy and carry out job activities in compliance with applicable Amentum Quality System documents and customer contracts. Each employee must read and understand his/her Quality Management and Customer Satisfaction responsibilities.

Procedure Compliance

Each employee must read, understand and implement the general and specific operational, safety, quality and environmental requirements of all plans, procedures and policies pertaining to his/her job.

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

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