Senior Analyst, Software Engineering | Software Engineer II
hackajob · Lehi, UT · 6 days ago
HybridEngineeringFull-time
Responsibilities
- Design, implement, test, and maintain software components using Python and C/C++.
- Implement architectural designs and technical patterns defined by senior engineers and software architects.
- Develop and maintain systems that ingest, transform, validate, and serve radar and weather data products.
- Own well-defined features or services from development through deployment and operational support.
- Write clean, maintainable, and well-tested code that meets performance, reliability, and quality standards.
- Participate in technical design discussions and provide implementation-focused input on proposed solutions.
- Work cross-functionally with product managers and scientists to translate domain-specific requirements into technical solutions.
- Contribute to peer code reviews and shared engineering best practices.
Qualifications
- Bachelor's degree or equivalent practical experience in Computer Engineering, Software Engineering, or a related scientific or engineering discipline such as Atmospheric Science, Meteorology, Hydrology, Physics, Mathematics, or Engineering.
- At least 2 years of professional software engineering experience in an industry environment.
- Professional experience with Python and C/C++.
- Experience working across the full Software Development Lifecycle.
- Familiarity with CI/CD workflows and tools such as GitLab CI, Jenkins, or Bamboo.
- Experience using version control systems (e.g., Git).
- Hands-on professional experience working with radar and weather data.
- Direct experience with one or more weather or radar data formats such as NEXRAD Level II, GRIB2, or NetCDF.
Preferred Qualifications
- Strong experience developing or maintaining systems that process radar data at scale, including real-time or near-real-time pipelines.
- Familiarity with geospatial data concepts and coordinate systems.
- Experience collaborating closely with scientists or domain experts.
- Exposure to data-driven or analytics-enabled systems.
- Experience in high-performance, data-intensive, or scientific computing environments.
Additional Information
Travel Required: Less than 1%
Work Environment: Remote