Airborne Data Engineer: Processing & Visualization

Science Systems and Applications, Inc.; Lanham (MD); On-site; USD 85,000 - 125,000; Full time

Job summary

Science Systems and Applications, Inc. seeks an Airborne Scientific Data Support Specialist to assist with airborne measurement campaigns, data processing, and data management workflows for NASA Earth science projects focusing on wildfires.

The role requires strong data processing skills, experience with Python/IDL/MATLAB, and the ability to deliver high-quality data products to researchers and stakeholders.

Qualifications

• Master’s degree with 6+ years in related fields or equivalent experience.
• Experience managing scientific data workflows including ingest, QC, and delivery pipelines.
• Proficiency in Python/IDL/MATLAB for data processing and analysis.
• Experience developing data visualizations for researchers and stakeholders.
• Familiarity with airborne remote sensing instruments or multi-sensor data integration.
• U.S. Citizenship or Permanent Residency required.

Responsibilities

• Process and quality-check low-level airborne science data.
• Integrate data from multiple airborne sensors.
• Generate science data products for researchers and user community.
• Calibrate, validate, and format airborne sensor data.
• Develop and maintain data processing workflows.
• Troubleshoot data processing and quality issues.
• Automate data processing using scripts and tools.
• Document processing procedures and metadata.
• Archive and distribute science datasets following standards.
• Support scientists with data analysis and product delivery.

Skills

Data workflow management

Data visualization

Airborne data handling

Scientific programming experience

Education

Master's degree in Atmospheric Science / Earth Science / Computer Science

Bachelor’s degree in atmospheric science / Earth science / computer science or related

Tools

Python

IDL

MATLAB

Job description

Science Systems and Applications, Inc. seeks an Airborne Scientific Data Support Specialist to assist with airborne measurement campaigns, data processing, and data management workflows for NASA Earth science projects focusing on wildfires.

The role requires strong data processing skills, experience with Python/IDL/MATLAB, and the ability to deliver high-quality data products to researchers and stakeholders.