About the position
KBR is seeking a highly motivated Data Analyst to support NASA's Earth Observing System Data and Information System (EOSDIS) Evolution and Development 3 (EED-3) contract. KBR is a subcontractor on RTX's EED-3 team to provide Earth scientists and others access to data from NASA's Earth Science missions. As a member of the EED-3 team, you will work in a fast-paced Agile environment that ensures the accurate and timely design, development, and deployment of products and services that allows the large collection of NASA earth science data to be more discoverable by the end user community. The Senior Software Engineer (Data Analytics) is a key development team member supporting the evolution and sustainment of data analytics services for EED enterprise systems and supporting infrastructure. In this role, the Senior Software Engineer (Data Analytics) will support the collection, curation, visualization, and automated reporting of information and insights across a suite of data analytics platforms spanning cloud hosted services (Cloud Metrics) and end-user community engagement (Google Analytics).
Responsibilities
- Design, development, evolution, and sustainment of data analytics infrastructures including AWS Athena/S3, Elasticsearch, and Google Analytics
- Implementing and refining data pipelines for the extract, transform, and load (ETL) of new data streams
- Support data management activities including retention, curation, catalog management, and schema development or extensions with focus on data management automation wherever practical.
- Preparing data visualizations and reporting for both internal application development teams and program leadership via Kibana, AWS QuickSight, Google Analytics 4.
Requirements
- Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related discipline
- 6+ years of experience in an engineering role related to data analytics.
Nice-to-haves
- Experience with Elasticsearch data cluster sustainment and visualization via Kibana
- Experience with tracking and reporting application usage metrics via Google Analytics in an enterprise setting
- Experience providing operational support, including monitoring systems, troubleshooting issues, and implementing bugfixes.
- Experience providing responsive customer support via a service desk. Track record of maintaining positive user and customer relationships.
- Familiarity with data analytics techniques (statistical analysis and/or AI/ML)
Benefits
- 401K plan with company match
- Medical, dental, vision, life insurance, AD&D
- Flexible spending account
- Disability
- Paid time off
- Flexible work schedule
- Support for career advancement through professional training and development
