Sales Engineering Intern, Snowflake
3-5 days a week in office
AI Data Cloud for data sharing and app building
Be an early applicant
AI Data Cloud for data sharing and app building
1001+ employees
Be an early applicant
3-5 days a week in office
1001+ employees
Company mission
On a mission to mobilize the world's data.
Role
Who you are
- Must be actively enrolled in an accredited college/university program during the time of the internship
- Desired Class Level: Master of Science or Master of Business Administration
- Desired majors: Computer Science, Computer Engineering, Mathematics or related field(s)
- Required coursework: Artificial Intelligence, Machine Learning, Database Systems, Cloud Computing
- Recommended coursework: SQL Programming, Computer Systems & Architecture
- Bonus Experience: Cybersecurity, Software Engineering, Python Programming
- Familiarity/certification(s) with GCP/Azure/AWS services in relation to Database/Data Platforms would also be beneficial
What the job involves
- 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
- As part of our world-class Enterprise Sales Engineering team, interns will engage in structured, hands-on technical projects that tackle real-world challenges and drive impactful outcomes
- In addition to project work, interns will have opportunities to connect with Snowflake employees, contribute to community initiatives, and participate in professional development events
- These experiences are crafted to promote both personal and professional growth, helping students develop valuable technical and interpersonal skills while advancing their career potential and making a meaningful impact
- 4-6 months internship program (depending on school requirements), starting January 2025
- 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, fun and inclusive 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
- You will be paired with one manager and one mentor during the internship cycle, and be required to complete at least one project during your tenure at Snowflake
- Projects will be designed to have a clear beginning, midpoint and end, and represent "real work", with tight deadlines
- You will be required to share your work in 2 separate ways - a Live Presentation with your assigned team and a “Snow & Tell” Video shared company wide
- Nterns have the opportunity to work on real-world, high-impact use cases, including but not limited to:
- Natural Language Query Generation with LLMs: Business analysts face bottlenecks due to reliance on technical teams for complex SQL queries, limiting data access for non-technical users. LLMs in Snowflake allow analysts to ask questions in plain English, automatically generating SQL queries to extract insights without needing SQL expertise
- Unstructured Data Analysis and Insights: Organisations struggle to analyse unstructured data like reviews, social media comments, and emails for actionable insights. Snowflake enables centralised storage and analysis of unstructured data, leveraging machine learning and UDFs to extract meaningful insights
- Customer Churn Prediction with Machine Learning: Businesses need to predict customer churn by analysing large datasets of customer behaviour, transactions, and support interactions. Snowpark enables data scientists to build machine learning models directly within Snowflake using familiar programming languages, ensuring secure and efficient processing of large datasets
Salary benchmarks
Our take
Developed as a fresh alternative to the archaic systems of data governance and information silos, Snowflake is a frictionless cloud data platform that removes the barriers preventing organizations of all sizes from unleashing the true value of their data.
The company equips organizations with a single, integrated platform that offers the only data warehouse built for the cloud; instant, secure and governed access to their entire network of data; and a core architecture to enable many types of data workloads, including a single platform for developing modern data applications.
Major competitors include Azure, SQL and AWS, and Snowflake has managed to keep ahead of the competition, cementing itself as a global force. Across its 1300+ partners, the company's cloud manages over 250PB of data (with more than 515 million data workloads running every day). Its continued focus on product R&D and partnership expansion have Snowflake well-positioned to manage itself amidst the competition.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 9 rounds)
Feb 2020
$479m
LATE VC
Oct 2018
$450m
LATE VC
Total funding: $1.4bn
Company benefits
- Comprehensive health insurance plans
- Health savings accounts
- Robust retirement plans
- Life and disability insurance
- Weekly online lunch and learns
- Virtual workout classes
- Ergonomic work-from-home equipment
- On-demand mental health and wellness programs
- Fertility benefits and family planning resources
- Generous time-off and various leave plans
- Onsite and Remote Work
- Employee discounts and pre-tax selections
- New hire equity + Employee Stock Purchase Plan (ESPP)
- Quarterly bonus or commission program
Company HQ
Bozeman, MT
Leadership
Benoit Dageville
(Co-Founder)Benoit, a leading expert in parallel execution and self-tuning databases, founded Snowflake after 10+ years at Oracle as a lead architect. He holds a PhD in Computer Science and has 270+ patents.
Thierry Cruanes
(Co-Founder)Thierry is a leading expert in query optimization and parallel execution. He has a PhD in Computer Science with a focus in Database Systems and is a named inventor on 200+ patents.
Sridhar Ramaswamy
(Chief Executive Officer)Sridhar joined Snowflake in 2023 via the Neeva acquisition as SVP of AI and later became CEO. He co-founded Neeva and previously led Google’s Ads business, growing it from $1.5B to $100B.
Share this job
View 202 more jobs at Snowflake