Staff Software Engineer Internships
Staff software engineer internships give university students, recent graduates, and early-career switchers hands-on project experience, mentorship from working engineers, and, at many employers, a path toward a full-time offer. {{top_industries_phrase}} lead in internship volume, with {{top_employers_phrase}} among the employers posting roles now.
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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. A critical part of realizing this vision is the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance, yet retain the expressiveness and of general purpose systems such as Apache Sparkâ„¢ to support diverse workloads ranging from ETL to data science.
ROLE AND RESPONSIBILITIES
As Part Of This Team, You Will Be Working In One Or More Of The Following Areas To Design And Implement These Next Gen Systems That Leapfrog State-of-the-art:
- 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
BASIC QUALIFICATIONS
- A passion for database systems, storage systems, distributed systems, language design, or performance optimization
- Experience working towards a multi-year vision with incremental deliverables
- Motivated by delivering customer value and impact
- 8+ years of experience working in a related system (preferred)
- Optional: PhD in databases or distributed systems
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.
Local Pay Range: $192,000—$260,000 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 Twitter, LinkedIn and Facebook.
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.
INTRODUCTION
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. A critical part of realizing this vision is the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance, yet retain the expressiveness and of general purpose systems such as Apache Sparkâ„¢ to support diverse workloads ranging from ETL to data science.
ROLE AND RESPONSIBILITIES
As Part Of This Team, You Will Be Working In One Or More Of The Following Areas To Design And Implement These Next Gen Systems That Leapfrog State-of-the-art:
- 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
BASIC QUALIFICATIONS
- A passion for database systems, storage systems, distributed systems, language design, or performance optimization
- Experience working towards a multi-year vision with incremental deliverables
- Motivated by delivering customer value and impact
- 8+ years of experience working in a related system (preferred)
- Optional: PhD in databases or distributed systems
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.
Local Pay Range: $192,000—$260,000 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 Twitter, LinkedIn and Facebook.
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.
Tips for Your Staff Software Engineer Internship Search
Apply in fall for the following summer
Large employers open summer internship recruiting as early as August and close cohorts before winter. If you wait until spring to start applying, the structured programs at bigger companies are often already full. Set a reminder to check for openings at the start of each fall semester.
Build a portfolio before you send a single application
Intern hiring teams for software engineering roles expect limited work history, so a GitHub profile with two or three complete, documented projects does the work your resume can't. Each project should have a clear README, working code, and a note on what problem it solves. That's the artifact recruiters actually assess.
Work your campus network alongside direct applications
Career fairs surface structured programs tied to your university, and professors or career center staff often know which employers recruit from your school before roles post publicly. At the same time, apply directly to companies running smaller cohorts not advertised on campus. Working both channels widens the pool you reach and reduces the risk of depending on a single pipeline.
Practice coding screens out loud before you apply
Staff software engineer intern interviews center on data structures and algorithms, and interviewers weigh how you think as much as whether you reach the right answer. Practice problems out loud, narrating your approach as you go. Candidates who explain their reasoning clearly stand out more than those who code silently and arrive at the same solution.
Staff Software Engineer Internships: Frequently Asked Questions
How do I get a staff software engineer internship?
Lead with coursework, personal projects, and a portfolio rather than work history, hiring teams expect limited experience at the intern level. A GitHub repository with documented, working code gives recruiters something concrete to assess. Direct applications are essential, but campus career fairs are worth attending too, since recruiters often move faster for students they meet in person.
Can a staff software engineer internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. What actually drives it is consistent performance on real project work, available headcount on the team, and understanding when return-offer decisions are made. Position for one by treating every deliverable seriously, but keep applying to other opportunities so you're not counting on a single outcome.
When should I apply for staff software engineer internships?
Earlier than most expect. Large tech and enterprise employers open summer intern recruiting the preceding fall, sometimes as early as August or September. Smaller companies and co-op programs post closer to their actual start dates, so openings appear year-round. Checking listings regularly means you won't miss an early cohort that fills before most candidates notice it's open.
Are staff software engineer internships paid?
Most professional staff software engineer internships in the U.S. are paid. Compensation varies by company size, industry, and location, so there's no single standard. Where an employer discloses pay, the listing will show it. Unpaid internships exist but are rare at companies running structured engineering programs.
What should a staff software engineer internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that name the languages, frameworks, and tools you used, with a linked GitHub repo or live demo so reviewers can see the actual code. Add relevant coursework, any open-source contributions, and a skills section listing your stack. Keep the whole document to one page.
What is a software engineering internship program (SWE intern cohort)?
Many large tech employers run structured summer cohort programs specifically for software engineering interns, grouping participants into cohorts with shared onboarding, mentorship pairings, and intern-only events. These programs recruit heavily from university campuses, target candidates with no prior industry experience, and fill their cohorts months before the summer start date, so apply in the first wave of recruiting.
Can international students get staff software engineer internships?
Yes. F-1 students can intern through CPT while enrolled or through OPT work authorization after finishing a degree, and the employer does not have to file anything for either, so many companies are open to international interns. Confirm your eligibility and timing with your university's international student office before accepting an offer.
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