Winter 2026
Software Engineer Intern
Snowflake
10,001+ employees
Cloud-based data warehousing and analytics platform
No salary listed
Berlin, Germany
In Person
Bachelor's, Master's, PhD
 Software Engineering (1) |
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- The candidate must be actively enrolled in an accredited college or university program during the internship.
- The candidate must have completed a Bachelor of Science degree and have a Master of Science or PhD in progress.
- The candidate must have completed coursework in algorithms, data structures, and operating systems.
- The candidate must have excellent programming skills in C++ or Java.
- The candidate must have knowledge of data structures and algorithms.
- The candidate must have experience working with big data engineering or processing and data migration.
- The candidate must have systems programming skills, including multithreading and concurrency.
- The candidate must have fluent oral and written English language skills.
- The candidate must have experience working as part of a team.
- The intern will implement and test features in query compilation, compiler design, and query execution.
- The intern will gain experience building enterprise-grade, reliable, and trustworthy software and services.
- The intern will work with SQL and other database technologies such as Spark and Hadoop.
- The intern will learn about database internals, large-scale data processing, transaction processing, distributed systems, and data warehouse design.
- The intern will work with cloud infrastructure, including AWS, Azure, and Google Cloud.
- The intern may contribute to execution platforms, search optimization, SQL features, database engineering, service runtime, streaming and data pipelines, metadata, Streamlit, and cloud engineering teams.
- The intern may work on high-performance large-scale data processing, large-scale distributed systems, query compilation and optimization, software-as-a-service platforms, and software frameworks for stability and performance testing.
- Recommended coursework includes database systems, distributed systems, geospatial or geographic information systems, cloud computing, and compilers.
- Research or publications in databases or distributed systems are a bonus.
- Experience processing geospatial features is a bonus.
- Contributions to open source are a bonus.
Snowflake provides a cloud-based data platform called the Snowflake Data Cloud that lets customers store, process, and analyze large amounts of data. It operates on a pay-per-use model, charging for data stored and for computing power used. The platform is designed to be easy to use and handles many data types, supporting use cases from data warehousing and data lakes to data engineering, data science, and data applications. Snowflake differentiates itself with a cloud-native architecture that separates storage and compute, enabling on-demand scaling for diverse workloads across organizations, from startups to large enterprises. The company’s goal is to offer a scalable, flexible, and accessible data platform that unifies storage, processing, and analytics in one service.
Company Size
10,001+
Company Stage
IPO
Headquarters
Menlo Park, California
Founded
2012
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Simplify's Take
What believers are saying
- Fiscal 2026 product revenue reached $4.472 billion, up 29%, with $489.7 million operating income.
- Dynamic model routing cuts token costs up to 3x, directly expanding AI workload adoption.
- Oppenheimer and Wells Fargo raised targets in August 2026 after stronger consumption and migrations.
What critics are saying
- Databricks keeps converging on Snowflake’s core analytics stack, compressing pricing power by 2026.
- The 2024 Snowflake breach still drives MDL 24-3126 and settlement pressure in 2026.
- MFA enforcement remains incomplete through October 2026, leaving password-only access as an existential target.
What makes Snowflake unique
- Snowflake’s Cortex AI Gateway governs model choice across Anthropic, OpenAI, Google, and open models.
- Its data cloud keeps analytics and AI workloads inside customer-controlled, secure Snowflake accounts.
- Snowflake Marketplace native apps let partners like Alteryx and Evolution Analytics run in-place.
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Benefits
We've got your back - We offer comprehensive health insurance plans, health savings accounts, robust retirement plans, and generous life and disability insurance.
A Balanced Lifestyle - All Snowflakes have access to our weekly online lunch and learns, virtual workout classes, and ergonomic work-from-home equipment. We offer on-demand mental health and wellness programs to support our employees and their families.
Your People Matter - Help offset the cost of growing your family with our fertility benefits and family planning resources. Count on our generous time-off and various leave plans for you to rest, refuel, and sustain a great work-life balance.
Global Snowflake Team - No matter where you are in the world, we will get you connected and supported with a work-from-home setup.
Treat Yourself - Personalize your Snowflake benefits by tapping into our employee discounts and pre-tax selections.
Invest In Your Future - Eligible employees enjoy new hire equity, Employee Stock Purchase Plan (ESPP), and a quarterly bonus or commission program.
Growth & Insights and Company News
6 month growth
↓ -5%1 year growth
↓ -4%2 year growth
↓ -4%Palantir reported revenue of $1.94 billion, up 93% year-over-year, with US commercial revenue jumping 149% to $764 million. The company posted a Rule of 40 score of 155% and generated $1.22 billion in free cash flow. Chief executive Alex Karp attributed growth to demand for AI sovereignty. Snowflake delivered product revenue of $1.33 billion, growing 34%, its strongest sequential dollar gain. Its Cortex Code product is now used in over 7,100 accounts, whilst Snowflake Intelligence accounts more than doubled quarter-over-quarter. The companies employ contrasting strategies. Palantir pursues a closed, integrated technology stack. Snowflake follows an open ecosystem approach, recently signing a $6 billion multi-year AWS agreement and expanding partnerships with OpenAI and SAP. Snowflake reported negative GAAP operating income of $326 million.
Snowflake has introduced dynamic model routing within its Cortex AI Gateway and flagship AI products, alongside expanded access to open-source models. The feature automatically selects the optimal AI model based on task complexity and cost, directing simpler tasks to efficient models whilst reserving frontier models for complex reasoning. Dynamic model routing is integrated across Snowflake CoCo and Snowflake CoWork, and available to third-party AI agents. The company is also adding models including DeepSeek-V4-Flash 0731 and GLM-5.3 to its Cortex AI portfolio. Internal testing showed agents using dynamic routing achieved up to three times greater token efficiency whilst maintaining quality. In separate tests, engineering teams completed pull-requests with 25 per cent greater token efficiency. The features aim to help enterprises reduce AI spending whilst maintaining data governance within Snowflake's platform.
Evolution Analytics has launched WIRE™ for Claims, a Snowflake Native App, on Snowflake Marketplace. The application enables insurance carriers, third-party administrators, and claims organisations to automate claims triage, routing, investigation, and resolution whilst keeping policyholder data within their Snowflake environment. WIRE™ uses Snowflake Cortex AI to provide operational context and AI-powered guidance for claims processing. The platform runs entirely inside a customer's Snowflake account, allowing organisations to leverage native security, governance, and encryption capabilities without moving sensitive data. "Most claims organisations have invested heavily in data, yet many critical claims processes still rely on manual work," said Vince Belanger, founding principal at Evolution Analytics. The application aims to reduce cycle times, improve adjuster productivity, control operational costs, and deliver consistent customer experiences for insurance companies.
Snowflake reported revenue of $4.7 billion for the fiscal year ended 31 January 2026, representing 29.2% growth year-over-year. The cloud data platform provider counted 790 Forbes Global 2000 companies as customers but posted a net loss of $1.3 billion for the period. Verizon generated $138.2 billion in revenue for the year ended 31 December 2025, up 2.5% from the previous year. The telecommunications giant reported net income of $17.2 billion and produced $20.1 billion in free cash flow whilst serving 146.8 million wireless retail connections. The comparison highlights contrasting investment profiles: Snowflake offers high growth potential with significant volatility, whilst Verizon provides steady income through its 5.8% dividend yield but carries substantial debt of $131.1 billion.
Oppenheimer has raised its price target for Snowflake to $400 from $295, citing stronger consumption trends and growing adoption of AI coding agent CoCo. The firm expects product revenue of roughly $1.469 billion, approximately 3% to 4% above consensus, while maintaining its Outperform rating. Analysts said channel checks showed strength across regions and industries, including larger deals and faster migrations. CoCo is helping customers build AI applications whilst encouraging migration of traditional analytics workloads onto Snowflake's platform. In its fiscal first quarter, Snowflake's product revenue grew 34% to $1.33 billion. The company had 779 customers generating over $1 million in trailing-12-month product revenue. Snowflake reports second-quarter results on 2 September.