WI · On-site
$110 - $185/hr
At least 4 years of experience in software engineering; internship experience does not apply * At least 1 year of experience with cloud computing, including AWS, Microsoft Azure, or Google Cloud
New
Databricks Internships information
What is a Databricks internship?
Databricks internships are structured programs that offer students and recent graduates the opportunity to gain hands-on experience working with data engineering, machine learning, and cloud technologies at Databricks. Interns typically work on real-world projects alongside experienced engineers, data scientists, and business professionals. These internships provide mentorship, training, and networking opportunities, and are a valuable way to learn about the tech industry and Databricks’ culture. They are available in a variety of roles, including software engineering, product management, and data science.
What types of projects and responsibilities can a Databricks intern expect during their internship?
Databricks interns typically work on impactful, real-world projects alongside full-time engineers or data scientists. You may contribute to product features, optimize data pipelines, or help improve machine learning models, depending on your team placement. Interns are encouraged to collaborate cross-functionally, participate in code reviews, and attend team meetings, gaining exposure to agile development practices and cloud technologies. This hands-on experience fosters strong technical growth and provides valuable insight into fast-paced, collaborative tech environments.
What are the key skills and qualifications needed to thrive as a Databricks intern, and why are they important?
To thrive as a Databricks Intern, you should have a solid background in computer science, programming (especially Python, Scala, or SQL), and data analytics, often supported by relevant coursework or project experience. Familiarity with big data platforms like Apache Spark, cloud services (AWS, Azure), and version control systems such as Git is highly beneficial. Strong problem-solving skills, eagerness to learn, and effective communication help interns collaborate and grow within diverse technical teams. These skills and qualities are crucial for contributing to real-world data projects and maximizing the learning experience during the internship.
What is the difference between Databricks Internships vs Data Engineer Internships?
| Aspect | Databricks Internships | Data Engineer Internships |
|---|---|---|
| Required Skills | Knowledge of Spark, cloud platforms, programming (Python, Scala) | Data pipeline development, SQL, cloud services, programming (Python, Java) |
| Work Environment | Collaborative, tech-focused, cloud-based platforms | Data processing, database management, cloud infrastructure |
| Industry Usage | Tech companies using Databricks platform | Organizations managing large-scale data systems |
Databricks Internships typically focus on working with the Databricks platform, Spark, and cloud-based data solutions. Data Engineer Internships involve building and maintaining data pipelines, working with databases, and cloud infrastructure. Both roles require programming skills and familiarity with cloud services, but Databricks Internships are more platform-specific, while Data Engineer Internships cover broader data engineering tasks.
How to get a job at Databricks?
To get a job at Databricks, candidates should have strong skills in data engineering, cloud computing, and programming languages like Python or Scala. Relevant experience with big data tools such as Apache Spark and a solid understanding of machine learning concepts can improve chances. Applying through the company's careers page and preparing for technical interviews are essential steps.
What are popular job titles related to Databricks Internships jobs in Wisconsin?
For Databricks Internships jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Databricks Internships jobs in Wisconsin look for?
The top searched job categories for Databricks Internships jobs in Wisconsin are:
What cities in Wisconsin are hiring for Databricks Internships jobs?
Cities in Wisconsin with the most Databricks Internships job openings:
Lead Software Engineer, Python, AWS, AI, Snowflake, Databricks
WI • On-site
Jobtailor
$110 - $185/hr
Other
Posted 2 days ago
New
Job description
Responsibilities
#J-18808-Ljbffr- Lead a portfolio of diverse technology projects and a team of developers with experience in distributed microservices and full-stack systems
- Create solutions that help meet regulatory needs for the company
- Stay on top of technology trends, experiment with and learn new technologies
- Participate in internal and external technology communities
- Mentor other members of the engineering community
- Collaborate with digital product managers
- Deliver robust cloud-based solutions that drive powerful experiences for millions of Americans
- Use programming languages, databases, container orchestration services, and AWS tools and services to build solutions
- Bachelor’s Degree
- At least 4 years of experience in software engineering; internship experience does not apply
- At least 1 year of experience with cloud computing, including AWS, Microsoft Azure, or Google Cloud
- Proficiency or experience with JavaScript, Java, TypeScript, SQL, Python, or Go
- Experience with open source RDBMS and NoSQL databases
- Experience with container orchestration services including Docker and Kubernetes
- Experience with AWS tools and services
- Capital One will not sponsor a new applicant for employment authorization or provide immigration-related support for this position
Demonstrates expertise in leading technology projects and teams, with a strong focus on cloud computing and full-stack development. Proficient in building solutions using modern programming languages and container orchestration technologies.
Highest-signal resume keywords- Cloud Computing
- AWS Tools And Services
- JavaScript
- Docker
- Kubernetes
- Mentoring
- Collaboration
- Bachelor’s Degree
- Regulatory Needs
- Technology Trends
- Digital Product Management
- AWS
- Microsoft Azure
- Google Cloud
- Container Orchestration Services