Software Engineer - New Grad, Distributed Data Systems (2027 Start)

Databricks Inc.; Bellevue, Mountain View (WA, CA); On-site; USD 138,000 - 155,000; Full time

Job summary

Databricks is hiring a Software Engineer - New Grad for Distributed Data Systems in Bellevue, WA and Mountain View, CA. You will contribute to a unified data and AI platform and gain exposure to areas like query optimization, distributed execution, and storage management.

Ideal candidates graduate in 2026 or 2027 with strong Java or C++ skills and a passion for data systems. Join a team that values end-to-end project leadership and a deep interest in performance and modern data architectures,

Qualifications

• Graduating Fall 2026 or Spring 2027 in Computer Science, Engineering, or related field.
• Strong implementation skills in Java or C++.
• Solid knowledge of algorithms, data structures, and object-oriented programming.
• Interest in database or distributed systems and performance optimization.
• Experience managing end-to-end projects.

Responsibilities

• Query compilation and optimization.
• Distributed query execution and scheduling.
• Vectorized execution engine development.
• Data security and storage management.

Skills

Java

C++

Algorithms

OOP

Education

Bachelors in CS/Engineering or related

Job description

Software Engineer - New Grad, Distributed Data Systems (2027 Start)

Bellevue, Washington; Mountain View, California

P-965

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.

Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse ( CIDR 2021 paper ), open platforms that unify data warehousing and advanced analytics. The new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support.

As part of this team, you could be working in one or more of the following areas:

• Query compilation and optimization
• Distributed query execution and scheduling
• Vectorized execution engine
• Data security
• Resource management
• Transaction coordination
• Efficient storage structures (encodings, indexes)
• Automatic physical data optimization
• Data plane storage
• Storage management system

What we look for:

• You will graduate in Fall 2026 or Spring 2027 with a degree in Computer Science, Engineering, or related subject
• You have implementation skills with a general purpose program language, such as Java, or C++
• You have knowledge of algorithms, data structures, and OOP principles
• A passion for database systems, storage systems, distributed systems, language design, or performance optimization
• You have experience managing end-to-end projects

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 anticipates utilizing 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 .

Zone 1 Pay Range $145,000 — $155,000 USD

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 anticipates utilizing 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 .

Zone 2 Pay Range $137,750 — $147,450 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here .

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.