Software Engineering Data Analytics Intern - Digital Foundry

About Carrier 

Carrier Global Corporation, global leader in intelligent climate and energy solutions, is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do. 

About this role 

Built on Willis Carrier's invention of modern air conditioning in 1902, Carrier is a leading provider of heating, ventilating, air conditioning, and refrigeration systems, building controls and automation, and fire and security systems, leading to safer, smarter, sustainable, and high-performance buildings. We constantly build upon our history of proven innovation with new products and services that improve global comfort and efficiency. Today, Carrier needs your talent to build upon this legacy and create solutions that matter for people and our planet!

We are seeking a motivated, results-oriented college student to join our team for the summer of 2024. The Carrier internship experience offers interns an environment that provides practical, challenging, and meaningful on-the-job work experience and the opportunity to apply knowledge and demonstrate strengths in efforts to assist Carrier in achieving its business strategy.

Key Responsibilities

As a Software Engineering – Data Analytics Intern, you will gain experience to include, but not limited to, the following activities and tasks:

• Assisting with designing, developing, and building applications in a fast-paced, collaborative, and iterative delivery environment.
• Evaluating new companies/features in collaboration with business stakeholders, design, engineering, and commercial teams
• Developing a technical understanding of the platform stack to understand the feasibility and level of effort required for the projects/tasks at hand.
• Embracing a culture of experimentation and constantly striving for improvement and learning.
• Working in a collaborative, trusting, thought-provoking environment - one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally.

Required Qualifications 

• Pursuing Bachelor’s degree in Computer Engineering, Computer Science, or related field
• 3.0 or higher GPA  
• Must be eligible to work in the US without sponsorship 

Preferred Qualifications

• Database (relational or NO-SQL) experience, SQL query language.
• Data software engineering and analytics
• Knowledge of other programming languages and environments – Python, Javascript, TypeScript, React or React.js, Node.js, C, etc.
• AWS or Software Development Experience is a plus
• IoT experience or knowledge a plus
• Familiarity with Edge Computing is a plus
• Relevant coursework or previous internships are preferred.
• Flexibility and mobility to be located in either West Palm Beach, Florida, or Atlanta, GA, location.
• Strong analytical, strategic, and creative problem-solving skills.

• Self-starter, go-getter, hit-the-ground-running personality with a passion for cutting-edge technology.
• Team player with a positive, collaborative work ethic. Enjoys collaborating with design, product, and other teams.
• Understanding the software development life cycle, from the customer needs to product release, is essential. Some hands-on experience with development tools & dev-ops is a plus.
• Domain knowledge in developing and maintaining reusable software services and infrastructure for promoting the reuse of services/ components/ libraries.
• Ability to analyze software services for reuse potential.
• Understanding of standard practices of open-source software development tools and methodology is absolute.
• Some experience with or knowledge of the following:
  • Latest digital technologies.
  • Software or SaaS engineering/development.
  • Code review.
  • Analyzing requirements and designing new functionality.
  • Supporting and fixing existing functionality.
  • AWS Cloud Native (serverless) environments – using Lambda for deployments.
  • Agile/Scrum methodology knowledge.
  • Source control management tools – Bitbucket, AWS code Commit, Circle CI, GIT, etc.
  • Using an IOT simulator to simulate devices.

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