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IT Software Engineering Intern (2024)

Mountain View, California

At Databricks, we are passionate about helping data teams solve the world's most challenging problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

At Databricks Information Technology (IT), we are a product-led organization transforming the way we work from how easy it is to use our IT services to the applications we develop that help us scale our business seamlessly in the face of incredible growth.

As a Software Engineering Intern of the Business System Engineering team, you will to deliver delightful digital experiences to our business teams and our customers. You will learn basic principles of Software Development to build and enhance the applications, integrations and backend systems for our internal business. As a Software engineer, you will develop custom applications, build backend data structures and apis.

The impact you will have:

  • Work with the IT Business System Engineering team to roll out new features and processes to help several teams such as HR, Finance and Customer Success
  • Participate in full Development Lifecycle: design, development, testing, documentation and operations in production environment
  • Build customized applications with a high degree of reliability, scalability and security

What we look for:

  • You will graduate in Fall 2024 or Spring 2025 with a degree in Computer Science, Engineering or Information Systems
  • You have implementation skills with a general purpose program language such as Python, Java, or C++
  • You have good knowledge of algorithms, data structures and OOP principles
  • You are excited to solve ambiguous problems with a collaborative team
  • You are excited to solve unique business problems and participate in a collaborative team environment.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

SF Bay Area Hourly Rate
$44.60$44.60 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on TwitterLinkedIn and Facebook.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.


If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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