Data Engineer Jobs

Amentum is seeking a Data Engineer – Mid Level. The Data Engineer will work closely with the Task Manager (TM ) to direct and optimize the flow of data within the framework and ensure consistency of data delivery and utilization across multiple projects.

Responsibilities:

• Provide the Enterprise Microelectronics Report every Monday
• Design and develop Directorate data requirements, in a non-information technology (IT) environment, enabling data-driven decision making
• Communicate results and ideas to the TM, key decision makers, and other stakeholders and shall provide information regarding the dataset applicability to the stakeholder’s mission
• Design, implement, and operate data management systems for intelligence needs
• Support change management activities with regard to data analysis across Directorates
• Recommend and implement ways to improve data reliability, efficiency, and quality; shall evaluate, compare, and improve the different approaches including the design patterns innovation, data lifecycle design, data ontology alignment, annotated datasets, and elastic search approaches
• Design how data will be stored, accessed, used, integrated, and managed by different data regimes and digital systems
• Work with data users to determine, create, and populate optimal data architectures, structures, and systems
• Plan, design, and optimize data throughput and query performance
• Document all processes, models, and activities
• Integrate external or new datasets into existing datasets
• Process, clean, and verify the integrity, accuracy, completeness, and uniformity
• Develop a framework and thresholds for ascribing quantitative values to qualitative values to align data sets
• Curate and collect the data from a variety of traditional and non-traditional sources: extract data from sources, transform and integrate data in line with existing data, and load data into data stores for access by others
• Design, develop, test, and manage the overall framework that helps analyze and process data in the way the organization needs it
• Build data and analytics proofs that will offer deeper insight into datasets, allowing for critical discoveries surrounding key performance indicators and customer activity
• Perform research and analysis of large data sets to include operational data and perform data validation and visualization and other statistical analysis of a mildly urgent/sensitive nature

Requirements:

• ACTIVE TS/SCI clearance is required
• Knowledge of basics of algorithms and data structures, distributed computing, big data querying tools, and big data toolkits
• Demonstrated ability to work across the Enterprise to develop processes that support data transformation, data structures, metadata, dependency, and workload management
• Minimum of 5 years of experience working in a data engineer role
• Experience building and optimizing data pipelines, architectures, and data sets

Preferred:

Bachelor’s Degree in Computer Science, Information Systems, or equivalent field