Job Description:Job SummaryThis 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
Working Place: Baltimore, Maryland, United States Company : 2026 Feb 12th Virtual - Space Telescope Science Institute 
