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 data is sourced, designed and used to help us scale seamlessly in the face of incredible growth.

Are you excited about using data to solve business problems? As a Data Engineering Intern of the IT Data team, you will build and deliver data solutions and products to influence decision-making for our business teams. You will use the best practices of data engineering and analytics to build scalable and data pipelines and data products. As a data engineer, you get a close understanding of how a hyper growth company utilizes Data and AI to drive business innovation and efficiency.  

The impact you will have:

• Work with the IT Data team to roll out new data driven capabilities to help business teams such as HR, Finance and Sales.
• Participate in full Development Lifecycle: design, development, testing, optimization, documentation and operations in production environment.
• Build data pipelines, solutions and products 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 programming language such as Python, Java, or C++ and querying language such as SQL.
• You have good knowledge of algorithms, data structures and OOP principles; experience with distributed computing and data science is a plus.
• 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.

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 Twitter, LinkedIn 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.

Compliance

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.