Software Engineer (Senior) - FULLY CLEARED with POLYGRAPH REQUIRED
@ Constellation Technologies, IncSoftware Engineer (Senior) - FULLY CLEARED with POLYGRAPH REQUIRED
This job is still taking applications, but it's been up a while.
About the job
Constellation Technologies provides advanced software solutions for national security. This role focuses on developing analytics, tools, and architecture to support critical global challenges, working closely with data scientists and end users in a federal environment. US citizenship, clearance required.
Requirements
- 11+ years of relevant experience
- Experience with Jupyter Notebooks
- Proficiency in Python PySpark
- Experience with statistical analysis
- Strong agile project experience
Qualifications
- Bachelor's degree in computer science
- US citizenship and security clearance
- Experience with data flow and big data
- Excellent collaboration skills
Full job description
Required:
- Must be a US Citizen.
- Must have TS/SCI clearance w/ active polygraph.
- Eleven (11) years of direct/relevant experience.
- Bachelor’s degree in computer science or related discipline from an accredited college or university is required.
- Experience with Jupyter Notebooks, Java MapReduce, Python PySpark
- Experience with statistical analysis and machine learning fundamentals
- Experience with customer tools, architecture, data flow, and use of big data
- Proficiency with Jira, Confluence, Gitlab; experience with Agile methodologies
- Experienced with creating custom analytics to perform at scale.
- Work closely with data scientists and end users to develop innovative analytic tools to further discovery and tradecraft around critical global challenges, then deliver innovative solutions focused on operationalizing data science.
- Perform end-to-end software engineering to prototype, develop, integrate, test, and deploy tools and tradecraft into the customer's corporate architecture.
These Qualifications Would be Nice to Have:
- Experience with software development processes (i.e., requirements analysis, software design, implementation, testing, integration, deployment/installation, and maintenance) and programming.
- Experience with Data Science, Machine Learning (ML), Artificial Intelligence (AI) and using Large Language Models (LLMs)
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