Job Summary This role focuses on designing, developing, and maintaining cloud-based software systems that support the processing, storage, retrieval, and archiving of large-scale scientific datasets. The position supports mission-critical data processing pipelines and plays a key role in ensuring the reliability, performance, and accuracy of scientific data products used by researchers worldwide. The role is part of a data management team responsible for end-to-end data workflows across multiple space science missions. The engineer will contribute to both new development and ongoing operational support, including troubleshooting, performance optimization, and production issue resolution. Key Responsibilities Design and develop software systems for large-scale data processing pipelines Develop and maintain interfaces between databases and data processing systems Improve processing algorithms and optimize performance for scientific workloads Participate in day-to-day operational support, including troubleshooting, debugging, and resolving production issues Contribute to maintaining stable, scalable, and reliable data processing environments Experience, Skills & Qualifications Bachelors degree in Computer Science, Engineering, or a related field 8+ years of hands-on experience in software engineering and data management Strong expertise in Python programming Experience working with workflow management systems such as Airflow Strong experience with relational databases Proficiency with automation tools and CI/CD pipelines Experience working with cloud platforms and services, including storage, compute, container, messaging, and database services Strong problem-solving skills and ability to work effectively in a collaborative team environment
Senior Cloud Software Developer • Maryland, United States
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