About The Position

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Data Science, or a related STEM field.
  • This position requires 12 months or less of relevant professional work experience (excluding Internships).
  • Proficiency in Python for application development, data processing, or automation.
  • Foundational knowledge of SQL and relational database design principles.
  • Familiarity with JavaScript, HTML, and CSS for UI development.
  • Experience working in Linux or cross-platform development environments.
  • Understanding of software version control tools (e.g., Git).
  • The ability to obtain and maintain a U.S. government issued clearance.
  • U.S. citizenship is required as only U.S. citizens are eligible for a security clearance.

Nice To Haves

  • Experience with ML Ops or Data Ops frameworks (e.g., Airflow, MLflow, Kubeflow, or similar).
  • Familiarity with web application architecture and tools (e.g., REST, GraphQL, PostgreSQL MongoDB, Redis).
  • Exposure to real-time systems, distributed architectures, or mission-support software (e.g., visualization dashboards, situational awareness, telemetry).
  • Internship or project experience involving data pipelines, AI/ML integration, or cross-domain systems.
  • Understanding of cloud-based services (AWS, Azure, or GCP).
  • Knowledge of containerization and deployment technologies (e.g., Docker, Kubernetes).
  • Experience with test automation, CI/CD tools (e.g., Jenkins, GitLab CI), or Infrastructure as Code (IaC) tools.
  • Excellent communication, documentation, and problem-solving skills.

Responsibilities

  • Design, implement, and maintain software applications using Python, SQL, JavaScript, and CSS.
  • Develop and integrate back-end data services and RESTful APIs to support real-time and historical data analytics.
  • Contribute to data pipeline development, ML Ops, and Data Ops workflows that improve automation, traceability, and scalability of deployed solutions.
  • Support development of intuitive front-end user interfaces for user operations and data visualization.
  • Participate in code reviews, configuration management, and automated testing as part of a continuous integration/continuous delivery (CI/CD) environment.
  • Collaborate with systems, test, and data engineers to ensure software components align with overall system objectives.
  • Author and maintain technical documentation and contribute to design reviews.

Benefits

  • Whether you’re just starting out on your career journey or are an experienced professional, we offer a robust total rewards package with compensation; healthcare, wellness, retirement and work/life benefits; career development and recognition programs.
  • Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance and child/adult backup care.
  • Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays.
  • Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement.

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What This Job Offers

Job Type

Full-time

Career Level

Entry Level

Number of Employees

5,001-10,000 employees

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