Scientific Data Pipelines Engineer & Analyst

Science Systems and Applications, Inc.; Lanham (MD); On-site; USD 110,000 - 140,000; Full time

Job summary

Science Systems and Applications, Inc. (SSAI) seeks a Scientific Data Software Engineer to build and maintain Python-based data ingestion and archiving pipelines on Linux servers.

You will work closely with scientists, system admins, and data managers to ensure reliable metadata extraction and high-integrity long-term storage for geodetic datasets. You will develop automated validation routines, handle large-scale data streams, and triage pipeline issues while aligning work with community

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Earth/Geophysical Sciences, GIS, or related technical discipline.
• 2+ years of Python experience developing automated data pipelines and data processing workflows.
• Proficient in Linux/Unix environments and shell scripting.
• Experience with version control using Git (GitHub or GitLab).
• Ability to debug data anomalies and troubleshoot pipeline issues.
• U.S. Citizenship required.

Responsibilities

• Design, implement, test, and maintain modular Python applications for end-to-end data ingestion, metadata parsing, and archival workflows.
• Develop automated data validation routines and quality checks.
• Triage pipeline failures, diagnose I/O bottlenecks, and resolve operational data issues.
• Collaborate with geodesy scientists, archive engineers, and data providers to align pipelines with standards.

Skills

Python

Linux CLI

Git

Problem solving

Collaboration

Education

B.S. in Computer Science or related field

Tools

Pandas

Docker

AWS S3

RESTful APIs

SQL (PostgreSQL/MySQL/SQLite)

Job description

Science Systems and Applications, Inc. (SSAI) seeks a Scientific Data Software Engineer to build and maintain Python-based data ingestion and archiving pipelines on Linux servers.

You will work closely with scientists, system admins, and data managers to ensure reliable metadata extraction and high-integrity long-term storage for geodetic datasets. You will develop automated validation routines, handle large-scale data streams, and triage pipeline issues while aligning work with community