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Job Description
We are seeking an expert Data Engineer to design, build, and optimize scalable backend systems and data integration solutions. This role requires deep expertise across the full software development lifecycle—from system architecture through deployment—with a focus on data-intensive applications, performance optimization, and cross-platform integration.
The ideal candidate thrives in dynamic environments and delivers high-impact solutions supporting mission-critical operations.
Backend & System DevelopmentDesign, develop, and maintain scalable backend systems using languages such as Java, Python, Go, or JavaScript frameworks (e.g., Angular)
Architect and implement data integration solutions for both structured and unstructured data
Develop and maintain RESTful APIs for real-time and batch processing
Build modular, reusable software libraries with clean, well-defined interfaces
Design, build, and optimize ETL pipelines using tools such as Elasticsearch, Kafka, and Airflow
Ensure high performance, scalability, and reliability of data workflows
Integrate externally developed code into core systems and libraries
Deploy and maintain applications in cloud environments (AWS, Azure, GCP)
Implement containerization and orchestration using Docker and Kubernetes
Develop and maintain CI/CD pipelines to support automated delivery
Follow configuration management and infrastructure best practices
Translate business requirements into technical solutions across data and application layers
Maintain high code quality through testing, code reviews, and regression analysis
Troubleshoot and resolve production issues to improve system stability and data integrity
Conduct full lifecycle testing in accordance with established quality standards
Provide bug fixes, enhancements, UI improvements, and access control updates
Install, configure, and monitor applications to meet operational needs
Deliver user support and ad hoc training as required
Collaborate with configuration managers to integrate internal and external solutions
Evaluate and recommend third-party tools, vendors, and technologies
Contribute to development standards, methodologies, and release readiness processes
Bachelor’s degree in Computer Science or a related field
(or equivalent combination of education, certifications, and experience)
15+ years of relevant professional experience
Active TS/SCI clearance with Polygraph (required)
Strong proficiency in one or more: Java, Python, Scala, Go, or JavaScript frameworks
Hands-on experience with Kubernetes and Airflow
Experience with relational and NoSQL databases, as well as cloud-native data services
Familiarity with CI/CD pipelines and Docker
Demonstrated ability to work across the full software development lifecycle
Strong analytical, troubleshooting, and communication skills
Experience building data products using Apache Avro
Experience with Apache ActiveMQ
Work Requirements
Salary and Benefit Information
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