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Intern Tcs Java Developer information
What is the difference between Intern Tcs Java Developer vs Tcs Java Developer?
| Aspect | Intern Tcs Java Developer | Tcs Java Developer |
|---|---|---|
| Qualifications | Typically pursuing or recently completed a degree in Computer Science or related field | Bachelor's degree in Computer Science or related field, with some experience |
| Work Environment | Training programs, supervised projects, entry-level tasks | Full-time development projects, team collaboration, client interactions |
| Responsibilities | Learning, assisting in coding, testing, and documentation | Designing, coding, debugging, and maintaining Java applications |
The main difference between an Intern Tcs Java Developer and a Tcs Java Developer lies in experience and responsibilities. Interns are in learning and assisting roles, while Java Developers handle full development tasks. Internships serve as a stepping stone to full-time roles, which require more expertise and independence.
What are the most commonly searched types of Tcs Java Developer jobs in Colorado? The most popular types of Tcs Java Developer jobs in Colorado are:
What are popular job titles related to Intern Tcs Java Developer jobs in Colorado? For Intern Tcs Java Developer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Intern Tcs Java Developer jobs in Colorado look for? The top searched job categories for Intern Tcs Java Developer jobs in Colorado are:
What cities in Colorado are hiring for Intern Tcs Java Developer jobs? Cities in Colorado with the most Intern Tcs Java Developer job openings:
Intern, Software Engineering - Data Science Engineering (Broomfield, CO)
MagniteBroomfield, CO • On-site
Full-time
Posted 17 days ago
Job description
Intern, Software Engineering - Data Science Engineering
Broomfield, CO
Hybrid Schedule (M/F remote, T/W/TH in-office)
At Magnite, we cultivate an environment of continuous growth and collaboration. Our work impacts what millions of people read, watch, and buy, and we're looking for people to help us tackle that responsibility with creativity and focus. Magnite (NASDAQ: MGNI) is the world's largest independent sell-side advertising platform. Publishers use our technology to monetize their content across all screens and formats including CTV / streaming, online video, display, and audio. Our tech fuels billions of transactions per day!
About the Team
Our Data Science Engineering team acts as the primary bridge between data science and the rest of engineering, owning a variety of features across Magnite's ecosystem. Through a mix of Scala Spark and Python jobs, we transform the platform's petabytes of data into insightful metrics and generate impactful signals that power our real-time systems at auction time.
As a Data Science Engineering Intern, you will:
We're looking for someone with:
Why Intern at Magnite?
Company Culture:
We believe collaboration is essential to success. Magnite's hybrid schedule includes two days worked remotely (Monday and Friday) and three days on-site (Tuesday, Wednesday and Thursday). Our offices provide catered lunches, beverages, snacks, training and development, and office events to support your work week. We also understand you have appointments, families, hobbies, and other commitments. Magnite strives to maintain a healthy work/life integration for all employees so you can bring your best every day - both at work and at home.
About Us
The world's leading agencies and brands trust our platform to access brand-safe, high-quality ad inventory and execute billions of advertising transactions each month. Anchored in bustling New York City, sunny Los Angeles, mile high Denver, historic London, and down under in Sydney, Magnite has offices across North America, EMEA, LATAM, and APAC.
Broomfield, CO
Hybrid Schedule (M/F remote, T/W/TH in-office)
At Magnite, we cultivate an environment of continuous growth and collaboration. Our work impacts what millions of people read, watch, and buy, and we're looking for people to help us tackle that responsibility with creativity and focus. Magnite (NASDAQ: MGNI) is the world's largest independent sell-side advertising platform. Publishers use our technology to monetize their content across all screens and formats including CTV / streaming, online video, display, and audio. Our tech fuels billions of transactions per day!
About the Team
Our Data Science Engineering team acts as the primary bridge between data science and the rest of engineering, owning a variety of features across Magnite's ecosystem. Through a mix of Scala Spark and Python jobs, we transform the platform's petabytes of data into insightful metrics and generate impactful signals that power our real-time systems at auction time.
As a Data Science Engineering Intern, you will:
- Collaborate with teammates, data scientists, product managers, and engineering partners to design and deliver pragmatic data science solutions for real business needs.
- Contribute to the design and implementation of scalable machine learning models, infrastructure, and product offerings.
- Apply analytics thinking and a data-driven mindset to influence both technical and product decisions.
- Learn and apply modern software development practices, including AI-assisted development tools, testing frameworks, and collaborative engineering workflows.
- Participate in Agile development processes including sprint planning, standups, code reviews, and technical discussions.
- Write and maintain high-quality code within our core technology stack, including Scala, Python, Spark, MapR, AWS, Snowflake, Databricks, Jenkins, Docker.
We're looking for someone with:
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.
- Curiosity, initiative, and a desire to continuously learn new technologies and solve challenging problems.
- Strong interest in software engineering, problem-solving, and building scalable applications or automation systems.
- Familiarity with one or more programming languages such as Java, Scala, Python, C++, Rust, or similar technologies.
- Exposure to statistics, machine learning, or backend data pipelines is a plus.
- Interest in emerging technologies such as AI-assisted development tools, machine learning, or large language models (LLMs).
- Solid understanding of computer science fundamentals including data structures, algorithms, and software design principles.
- Strong communication, collaboration, and learning mindset with the ability to work effectively in a fast-paced team environment.
Why Intern at Magnite?
- Hands-on Impact: Work on real projects that have tangible impacts on internal tools and platform performance.
- Mentorship: Gain dedicated guidance, shadow senior engineers, and participate in comprehensive learning opportunities.
- Work-Life Integration: Enjoy a hybrid work environment. Our offices feature daily catered lunches, snacks, and frequent team events.
Company Culture:
We believe collaboration is essential to success. Magnite's hybrid schedule includes two days worked remotely (Monday and Friday) and three days on-site (Tuesday, Wednesday and Thursday). Our offices provide catered lunches, beverages, snacks, training and development, and office events to support your work week. We also understand you have appointments, families, hobbies, and other commitments. Magnite strives to maintain a healthy work/life integration for all employees so you can bring your best every day - both at work and at home.
About Us
The world's leading agencies and brands trust our platform to access brand-safe, high-quality ad inventory and execute billions of advertising transactions each month. Anchored in bustling New York City, sunny Los Angeles, mile high Denver, historic London, and down under in Sydney, Magnite has offices across North America, EMEA, LATAM, and APAC.
About Magnite
Sourced by ZipRecruiter
Company size
501 - 1,000 Employees
Headquarters location
Los Angeles, CA, US
Year founded
2007