Software Engineer/Principal Software Engineer – Data Analyst

Responsibilities

• Develop, integrate, and maintain an enterprise grade toolset to support cross-disciplinary engineering teams.
• Build tools to leverage large operational data sets for maintaining communications subsystems and advanced payload technologies.
• Collaborate within an engineering environment spanning Cloud & Application, Communications & Networking, Advanced Payload Technologies, Test Automation, DevSecOps, and Systems Test.
• Partner with stakeholders to design, build, and sustain mission critical systems.
• Identify technical risks and opportunities, and proactively develop mitigation plans.
• Communicate team progress and accomplishments to senior leadership.
• Create and maintain CI/CD pipelines to ensure stability and quality across the software development life cycle.
• Continuously expand skills and maintain relevant certifications.

Requirements

• Level 2: Bachelor's Degree in a STEM discipline with 2 years of related engineering experience; OR Master’s degree in a STEM discipline with 0 years of related engineering experience.
• Level 3: Bachelor's Degree in a STEM discipline with 5 years of related engineering experience; OR Master’s degree in a STEM discipline with 3 years of related engineering experience; OR PhD in a STEM discipline with 1 year of related engineering experience.
• Hands-on software development experience with Python, Java, C++, and/or MATLAB to enable processing of large data sets.
• Experience in at least two of the following areas:
  • Predictive trend analysis including AI/ML techniques.
  • Building and maintaining complex databases across multiple IT infrastructures.
  • Working with database technologies such as Parquet, SQL, Neo4j, Elasticsearch, or MongoDB.
  • Container management tools such as Kubernetes, Amazon EKS, Docker Swarm, Nomad, or Red Hat OpenShift.
  • Automating tasks with Ansible, Bash, PowerShell, Puppet, or Python.
  • Performance monitoring tools such as Elastic Stack or Grafana.
  • Interpreting complex Interface Control Documents (ICDs) and drawings to derive data structures from raw sources.
  • Strong collaboration and communication skills using Atlassian Suite (Confluence, Jira, Bitbucket).
• Strong agile background with the ability to adapt across multiple teams.
• Active U.S. Government Top Secret clearance with SCI eligibility (with a background investigation within the past 5 years or enrolled in Continuous Evaluation).
• Ability to obtain and maintain initial SAP access via a PAR, within a timeframe determined by the company to meet business needs.
• Ability to obtain and maintain subsequent SAP PARs following employment to fully support the statement of work.
• Education: PhD in STEM (as listed in the role) with alternative level qualifications defined above.

Technologies

• Python
• Java
• C++
• MATLAB
• Parquet
• SQL
• Neo4j
• Elasticsearch
• MongoDB
• Kubernetes
• Amazon EKS
• Docker Swarm
• Nomad
• Red Hat OpenShift
• Ansible
• Bash
• PowerShell
• Puppet
• Elastic Stack
• Grafana
• Atlassian Suite (Confluence, Jira, Bitbucket)

Benefits

• Health insurance coverage
• Life and disability insurance
• Savings plan
• Company paid holidays
• PTO for vacation and/or personal business
• Annual bonuses
• Long Term Incentives
• Discretionary bonus

Relocation Assistance

• Relocation assistance may be available

Clearance for Start

• Yes

Clearance Type

• Top Secret

Travel

• Yes, 25% of the time

Salary Range

• Primary level salary range: $91,800.00 - $137,600.00
• Secondary level salary range: $114,000.00 - $171,000.00