--- title: 'Software Engineer Intern - Berlin (2026) at Snowflake' canonical: 'https://feeny.ai/job/software-engineer-intern-berlin-2026-snowflake-berlin-9bf455wpx2r6' type: 'job' last_seen: '2026-09-11' --- # Software Engineer Intern - Berlin (2026) at Snowflake - **Company:** [Snowflake](https://feeny.ai/companies/snowflake) - **Location:** Berlin, Germany - **Employment:** full-time - **Posted:** 2026-06-02 - **Last confirmed live:** 2026-09-11 - **Apply:** https://jobs.ashbyhq.com/snowflake/41e65c6c-a01e-4f40-af14-ae75d3b95e27/application **Skills:** C++, Java, Algorithms, Data Structures, Operating Systems, SQL, Database Technologies, Big Data Processing, Distributed Systems, Cloud Infrastructure, AWS, Azure, Google Cloud, Multi-threading, Concurrency, Research or publications in databases or distributed systems, Geo features processing, Open source contributions, Systems programming > Snowflake seeks AI-native Software Engineers for its Berlin office to work on enterprise-grade software and data platforms. The role involves contributing to real-world systems using C++ or Java, with opportunities in cloud infrastructure, distributed systems, and big data processing. ## Job description At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users. Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions. We are now a global, world-class organization with offices in more than a dozen countries and serving many more. We’re looking for dedicated students who share our passion for ground-breaking technology and want to create a lasting future for you and Snowflake. ## WHAT WE OFFER : - Paid, full-time internships in the heart of the software industry - Post-internship career opportunities (full-time and/or additional internships) - Exposure to a fast-paced, yet fun, startup culture - A chance to work with world-class experts on challenging projects - Opportunity to provide meaningful contributions to a real system used by customers - High level of access to supervisors (manager and mentor), detailed direction without micromanagement, feedback throughout your internship, and a final evaluation - Stuff that matters: treated as a member of the Snowflake team, included in company meetings/activities, flexible hours, casual dress code, accommodations to work from home, swag and much more - Catered lunches, access to gaming consoles, recreational games, happy hours, company outings, and more - Embraced as a full member of the diverse Snowflake engineering team ## WHAT WE EXPECT : - Must be actively enrolled in an accredited college/university program during the time of the internship - Required: A completed BS degree, with an MS or PhD in progress - Desired Majors: Computer Science, Computer Engineering, Electrical Engineering, Physics, Math, or related field - Required coursework: algorithms, data structures, and operating systems - Recommended coursework: Database systems, distributed systems, Geospatial/Geographic IS, cloud computing, compilers, - Bonus experience: Research or publications in databases or distributed systems, experience with geo features processing, and contributions to open source. - Experience working with big data (engineering / processing) and data migration - Duration: 4 month minimum, 6 months recommended, up to 12 months supported, start date flexible - Target start dates: February 2026 and onward - Excellent programming skills in C++ or Java - Knowledge of data structures and algorithms - Strong problem solving and ability to learn quickly in a dynamic environment - Fluent English language skills (oral and written) - Experience with working as a part of a team - Dedication and passion for technology - Systems programming skills including multi-threading, concurrency, etc. ## WHAT YOU WILL LEARN/GAIN : - How to build enterprise grade, reliable, and trustworthy software/services - Exposure to SQL and/or other database technologies (e.g., Spark, Hadoop) - Understanding of database internals, large-scale data processing, transaction processing, distributed systems, and data warehouse design - Implementation, testing of features in query compilation, compiler design, query execution - Experience working with cloud infrastructure, AWS, Azure, and/or Google Cloud in particular - Learning about cutting edge database technology and research ## POSSIBLE TEAMS/WORK FOCUS AREA : - Execution platform (XP), Search Optimization (SO), SQL Features (Geo, Collations) - Database engineering, service runtime, streaming (data pipelines), metadata, Streamlit and cloud engineering teams. - High performance large-scale data processing - Large-scale distributed systems - Query compilation and optimization - Software-as-a-Service platform - Software frameworks for stability and performance testing Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: [careers.snowflake.com](http://careers.snowflake.com) ## About Snowflake ## Company Overview - **One-liner**: Snowflake provides an AI Data Cloud platform that enables enterprises to store, analyze, and securely share their data across multiple clouds and geographies. - **Entity Type**: Public (NYSE: SNOW) - **Headquarters**: Bozeman, Montana, United States - **Founded**: 2012 - **Founders**: Not explicitly listed in the provided search results (widely known co-founders include Benoit Dageville, Thierry Cruanes, Marcin Zukowski – not verified in these search results) ## Core Business - **Primary Industry**: Enterprise software, cloud data platform - **Target Customers**: B2B, including large enterprises (e.g., hundreds of the world’s largest companies), mid-market, and SMBs - **Mission**: “To Mobilize the World’s Data” (Glassdoor) and “empower every enterprise to achieve its full potential through data and AI” (Snowflake Careers page) ## Products & Services - **Snowflake AI Data Cloud**: A unified, multi-cloud platform that combines data warehousing, data lakes, data sharing, and AI/ML capabilities. Customers can discover, share, and analyze data while running analytic workloads across public clouds (AWS, Azure, GCP). - **Snowflake Marketplace**: A marketplace for discovering and accessing third‑party data sets and applications. - **Snowflake‑Powered Applications**: Platform for building and deploying data‑intensive applications. ## Market Standing - **Valuation/Market Cap**: Not directly provided in search results (as a public company, market cap fluctuates and is available on financial websites). - **Key Metric**: Annual Revenue – $1 to $5 billion (USD) per Glassdoor. - **Notable Investors/Partners**: Not explicitly mentioned in the search results (historically backed by Sequoia Capital, Dragoneer, etc. – not verified here). - **Growth Signals**: - Named #1 on the 2023 Fortune Future 50 List ([Fortune.com](https://fortune.com)) - Listed as a U.S. Best Large Place to Work by BuiltIn in 2024 - Recognized as one of the “20 Coolest Cloud Software Companies” by CRN in 2022 and 2024 - Headcount of 5,001–10,000 employees with 30 global locations; actively hiring - Revenue range $1B–$5B indicates strong scale ## Competitive Advantages - **Multi‑Cloud Flexibility**: Operates across AWS, Azure, and GCP, avoiding vendor lock‑in. - **Unified Data Experience**: One platform for data sharing, analytics, and AI, reducing silos. - **Separation of Compute and Storage**: Allows independent scaling and cost efficiency (not detailed in provided sources, but a known differentiator). - **Strong Ecosystem**: Data marketplace and extensive partner network. ## Strategic Focus - **AI & Data Innovation**: The company’s current emphasis is on making “enterprise AI easy, efficient, and trusted” and integrating AI capabilities into the Data Cloud. - **Global Expansion**: Active hiring across 30 locations indicates continued geographic growth. - **Customer‑Centric Development**: Focus on empowering enterprises to achieve “full potential through data and AI.” ## Why Work Here - **Culture**: Described as “driven by innovation, low egos, high bars, and collaboration” (Snowflake Careers page). Glassdoor rating of 3.9/5 overall (78% approve CEO). - **Work‑Life Balance**: Glassdoor rates Work/Life Balance at 3.7/5; many remote and hybrid roles available (see Indeed listings). - **Benefits**: “Benefits & Beyond” program includes competitive compensation, equity, career advancement programs, and commitment to pay equality and veteran hiring. - **Engineering Focus**: Hiring process includes 2–4 week timeline with technical interviews; the company values impactful, project‑based work for all roles, including interns. - **Recognition**: Named a Best Large Place to Work (BuiltIn 2024) and future‑focused by Fortune, signaling strong employer brand. ## Sources 1. [Snowflake Careers Overview](https://careers.snowflake.com/us/en) 2. [Life at Snowflake](https://careers.snowflake.com/us/en/snowflake-life) 3. [Snowflake on Glassdoor](https://www.glassdoor.com/Overview/Working-at-Snowflake-EI_IE928471.11,20.htm) 4. [Snowflake Hiring Process](https://careers.snowflake.com/us/en/gethired) 5. [Snowflake on Indeed](https://www.indeed.com/cmp/Snowflake-7f4a7fba) 6. [Snowflake Careers Portal (Ashby)](https://jobs.ashbyhq.com/snowflake) – provided by user ## Other roles at Snowflake - [Software Engineer](https://feeny.ai/job/software-engineer-snowflake-warsaw-rk93stde6gfz) — Warsaw, Poland - [Strategic Account Executive, Majors Acquisition](https://feeny.ai/job/strategic-account-executive-majors-acquisition-snowflake-texas-z28sj7wdvvq8) — Texas, United States - [Staff Technical Program Manager - Security](https://feeny.ai/job/staff-technical-program-manager-security-snowflake-menlo-park-wq8j55r9qq5p) — Menlo Park, CA - [Engineering Manager](https://feeny.ai/job/engineering-manager-snowflake-menlo-park-hcb2t29d5htr) — Menlo Park, CA - [Senior Manager, Technical Program Management - Security](https://feeny.ai/job/senior-manager-technical-program-management-security-snowflake-menlo-park-94cf3wxj9d56) — Menlo Park, CA - [Principal Software Engineer - Semantic Views](https://feeny.ai/job/principal-software-engineer-semantic-views-snowflake-menlo-park-rsztyc80kfn7) — Menlo Park, CA - [Solution Engineer](https://feeny.ai/job/solution-engineer-snowflake-colombia-3cf4hpmqq9ye) — Colombia - [Senior/Staff Software Engineer – LLM Inference & Reinforcement Learning Platform](https://feeny.ai/job/senior-staff-software-engineer-llm-inference-reinforcement-learning-platform-dwrjfex7daq2) — Bellevue, WA - [Services Solutions Manager](https://feeny.ai/job/services-solutions-manager-snowflake-united-kingdom-f5bh8de9z9m1) — United Kingdom - [Account Executive](https://feeny.ai/job/account-executive-snowflake-helsinki-wxb5sh46d89y) — Helsinki, Finland