TL;DR

Welcome! This is your weekly all-in-one launchpad for 2025 & 2026 opportunities. Each week, this hand-picked digest delivers the latest internships and new graduate roles (only those posted in the last 25 days!), deep insights from the front lines of the AI revolution at Snowflake's Data Cloud Summit, an expert career tip to give you an edge, and powerful job search resources. All the fresh, verified opportunities and insights you need to succeed.

🚀 Top Job Picks This Week

Apply HERE to get featured as an Intern/Early Career Spotlight!

📂 Browse 500+ Roles by Track

Click below to dive into fresh, application date-posted lists (updated daily!)

🎓 Quick Career Tip of the Week

For a long time, I was scared to share my work until it was "perfect." My code had to be flawless, my case studies polished, my portfolio 100% finished.

The result? I rarely shared anything, because nothing ever felt truly "done." I was waiting for permission to be seen as an expert.

The breakthrough came when I realized my messy learning process wasn't a liability—it was my most interesting asset. Recruiters and hiring managers don't just want a perfect final product; they want to see how you think, how you solve problems, and that you're genuinely curious.

It's the difference between showing someone a finished cake and letting them watch you figure out the recipe. One is static; the other is a real demonstration of skill.

So, start working with the garage door up. Here’s how:

1. Document One Project, Not a Whole Portfolio. Pick one thing you're working on—a coding project, a marketing plan for a class, a design mockup. Use LinkedIn, a personal blog, or even a Twitter thread to post simple, short updates. "Week 1: Scoped out the idea and hit my first major bug. Here's how I fixed it..." This shows resilience and problem-solving far better than a finished screenshot.

2. Explain Something You Just Learned. Just finished an online course on SQL? Write a short post explaining the JOIN command in your own words. Trying to understand a new marketing framework? Share a quick summary. Teaching something is the best proof that you understand it, and it makes you a valuable connection for others who are learning, too.

3. Share a Thoughtful Question. You don't always need to have the answer. Posting about a problem you're stuck on or asking for feedback on an idea shows genuine engagement and humility. "Trying to figure out the best way to structure this user survey. Leaning toward A, but B seems interesting. Here's my thinking..." This invites conversation and makes you visible in the right circles.

The goal isn't to become an "influencer." It's to create a small, public trail of your curiosity and effort. While everyone else is endlessly polishing a static resume behind the scenes, you're building a dynamic, public story of your growth.

That's what gets you noticed.

🔍 Deep Dive: Company Spotlight - Snowflake and Walled Gardens

Forget chatbots for a minute. At its massive Data Cloud Summit in San Francisco this week, Snowflake unveiled a series of groundbreaking updates aimed at solving the single biggest problem in enterprise AI: data. Their message was clear: the future of AI isn't about moving your data to a model; it's about bringing world-class AI securely to your data.

This is a fundamental shift. Snowflake is moving beyond its roots as a data warehouse to become the central, open platform for building and running AI-powered applications.

🧠 Key Announcements at a Glance

🌟 Cortex AISQL: Putting AI Inside the Database This is the showstopper. Snowflake is embedding AI functions directly into the SQL query language. With simple commands like AI_CLASSIFY or AI_FILTER, any data analyst can now perform complex tasks on unstructured data (like images and documents) using the language they already know. This democratizes AI development, turning millions of SQL users into AI engineers overnight.

🤖 Snowflake Intelligence: An AI "Co-pilot" for Business Data They launched a new agentic AI experience that allows non-technical users to "talk" to their company's data. Instead of writing complex queries, a sales manager can simply ask, "Why were sales down in the West region last quarter?" The AI won't just pull a chart; it can analyze structured sales data, cross-reference it with unstructured Slack conversations about inventory, and draft a summary of the root cause.

🌊 Openflow & A dbt-Native Experience Snowflake is tackling the messy world of data pipelines. With Openflow (built on Apache NiFi), they're simplifying how all types of data—from real-time streams to massive files—get into the platform. They also announced native support for dbt Projects, the gold standard for data transformation, directly within their UI, streamlining the entire development workflow.

Why This Matters for You

1. The "Data Layer" is the New Battleground: The AI war isn't just between OpenAI, Google, and Anthropic. The real fight is for the "data layer"—the secure, governed platform where a company's most valuable asset lives. Snowflake is making an aggressive play to be that foundational layer, making it one of the most critical companies in the tech ecosystem.

2. AI is Moving From "Tool" to "Utility": By embedding AI functions directly into SQL, Snowflake is making AI less of a specialized, separate tool and more like a utility, as common as running water. This means the demand for developers who can apply AI to business problems will explode, not just those who can build models from scratch.

3. The Rise of the "Data App": With enhanced developer tools like Snowpark and native dbt, the focus is shifting from simple dashboards to building full-featured, AI-powered applications directly on top of the data cloud. This creates huge opportunities for software engineers who understand data architecture.

Actionable Next Steps

• Go Beyond Pandas and NumPy: If you're a data science or analytics student, your Python skills are crucial, but you must prove you can work within a modern, cloud-native data platform. Open a Snowflake free trial and learn how to run a Python notebook in Snowpark. It's a skill that will immediately differentiate you.

• Learn SQL Like a Pro: With features like Cortex AISQL, strong SQL skills are becoming more valuable, not less. It's the lingua franca for data, and now, for applied AI. Go beyond SELECT * FROM and master window functions, CTEs (Common Table Expressions), and now, be aware of these new AI functions.

• Build a Data App, Not Just a Dashboard: For your next portfolio project, don't just create a visualization. Use a tool like Streamlit (which is integrated with Snowflake) to build a simple, interactive application that sits on top of a dataset. This demonstrates a full-stack understanding of the modern data world and is far more impressive to recruiters.

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— Sriram Maganti | Co-Founder @ inFuture