Description

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

Requirements

Experience, Skills & Qualifications

Bachelor’s 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