Geodetic Data Pipeline Engineer

Science Systems and Applications, Inc.; Greenbelt (MD); On-site; USD 100,000 - 150,000; Full time

Job summary

Science Systems and Applications, Inc. (SSAI) seeks a Scientific Data Software Engineer to build and operate automated ingestion, validation, cataloging, and archiving pipelines for high-volume geodetic data.

You will develop robust Python software and Linux shell workflows that keep metadata extraction accurate and archives reliable for global scientific distribution. You will collaborate with geodesy scientists, archive engineers, and data managers to ensure data quality, performance, and

Qualifications

• B.S. in Computer Science, Software Engineering, Earth/Geophysical Sciences, GIS, or related technical discipline.
• Python proficiency: 2+ years building automated data pipelines, file I/O, text parsing, and system interaction (os, sys, pathlib, subprocess, pandas).
• Linux/Unix fluency with shell scripting (Bash).
• Version control with Git (GitHub or GitLab).
• Problem-solving to debug data anomalies and trace runtime errors.
• U.S. Citizenship required.

Responsibilities

• Pipeline Development & Maintenance: design, implement, test, and maintain modular Python apps to automate ingestion, metadata parsing, format standardization, and archival storage workflows.
• Data Validation & Quality Assurance: author automated validation routines and sanity checks prior to long-term archiving.
• Incident Troubleshooting: triage runtime pipeline failures, diagnose I/O bottlenecks, and resolve operational issues affecting data availability.
• Interdisciplinary Collaboration: interface with geodesy scientists, archive engineers, and external data providers to align pipeline capabilities with community standards.

Skills

Python

Linux

Problem solving

Education

Bachelor's degree in CS/SE/Geoscience

Tools

Git

SQL

Docker

RESTful APIs

AWS S3

Job description

Science Systems and Applications, Inc. (SSAI) seeks a Scientific Data Software Engineer to build and operate automated ingestion, validation, cataloging, and archiving pipelines for high-volume geodetic data.

You will develop robust Python software and Linux shell workflows that keep metadata extraction accurate and archives reliable for global scientific distribution. You will collaborate with geodesy scientists, archive engineers, and data managers to ensure data quality, performance, and