Data Integration Engineer

Data Integration Engineer at Amentum in Boise, Idaho, United States Job Description Amentum is seeking a dynamic, motived, energetic and driven Data Integration Engineer US Citizenship is required to apply. Design, develop and implement enterprise data integration and pipeline architectures to facilitate the collection, storage, and management of data for various analytical, operational, and decision-making purposes. Utilizes technologies to facilitate implementation of various integration patterns to ensure appropriate integration between Amentum systems including enterprise data pipelines, spark notebooks, dataflows, data lakes, SQL Serverless, messaging, API's and data warehouse processes and artifacts from internal and external data sources. Essential Responsibilities: + Focuses on data integration between key business data sources, applications, services, and systems. + Works on design and implementation of data flows/pipelines - focuses on control and optimization of data movement and transformation. + Works on data integration between different systems or source/sink requirements. Specific Job Duties: + Design and implement data integration and pipeline architectures to facilitate the collection, storage, and management of data from various sources and systems. + Develop and maintain ETL (Extract, Transform, Load) processes and data workflows that ensure efficient and error-free data transfer between systems. + Select and implement suitable integration methods for various enterprise needs. + Create and enforce data quality checks and balances to ensure accuracy and integrity of integrated data. + Collaborate with data engineers and analysts to understand data needs and deliver tailored data resources for analytics and reporting purposes. + Optimize data integration processes for improved performance, scalability, and reliability, utilizing best practices in data engineering. + Implement data privacy and security measures in compliance with regulatory requirements and company policies. + Troubleshoot and resolve issues related to data integration, including performance bottlenecks and data discrepancies. + Document data integration processes, including data flow diagrams and data models, to ensure clarity and maintainability for future modifications. + Design, develop, test, and manage the overall framework to facilitate analysis and processing of enterprise data working closely with the Data Architect to direct and optimize the flow of data within the framework and ensure consistency of data deli To view full details and how to apply, please login or create a Job Seeker account