Software Engineer Intern - 1076
Major Responsibilities
- Support engineering projects through research, design, development, testing, and documentation
- Collaborate with engineers, technical teams, and project managers to achieve project goals
- Participate in the design, prototyping, and scoping of engineering solutions
- Prepare technical documentation related to engineering projects and processes
- Identify and troubleshoot technical issues and develop solutions with guidance from experienced engineers
Education and Experience
- Pursuing a degree in Computer Science, Software Engineering, Engineering, or a related field preferred
- Experience with one or more programming languages such as Python, Go, JavaScript, Rust, or C++
- Understanding of basic software engineering principles, data structures, and algorithms
- Familiarity with database concepts, including SQL, NoSQL, and relational databases
- Strong problem-solving and analytical skills
- Excellent written and verbal communication skills with the ability to collaborate effectively within a team
- Eager to learn, adaptable, and able to quickly develop new technical skills
Lightcast is a global leader in labor market insights, with headquarters in Moscow, ID (US) and offices in the United Kingdom, Europe, and India. We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities.
Lightcast is proud to be an equal opportunity workplace and does not discriminate on the basis of federally protected statuses. Lightcast has always been, and always will be, committed to diversity of thought and unique perspectives. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.
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