Data Engineering

One week dedicated to data’s hottest role.

Data engineering is the secret sauce for enterprise AI success, so demand for data engineering talent is skyrocketing. Agents now draft the SQL, the dbt models, and the tests.

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Employers need engineers who direct that work inside a real stack, verify it, and build the data foundations AI runs on. Databricks, Snowflake, and dbt Labs take you through the entire process.

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Learn from seasoned data practitioners and technology leaders

code-along

WAREHOUSE

Mon, Nov. 30

AI-Assisted Data Work with Snowflake CoCo

Generic AI code breaks on your schema. Use Snowflake CoCo to build pipelines and a Streamlit app grounded in your real catalog, lineage, and permissions.

James Cha-Earley

Senior Developer Advocate at Snowflake

code-along

DECISIONS

Tue, Dec. 1

Decision AI for Data Engineering with Jev

Calling an LLM for every routing choice is slow and costly. Use Jev to return fast, confidence-scored decisions that your pipeline can act on directly.

Deepak Goyal

Founder, Azurelib Academy

panel

GOVERNANCE

Wed, Dec. 2

The Agentic Data Engineering Playbook

Agents already run parts of the data stack. Leaders share where autonomy paid off, where it needed guardrails, and how they kept cost and governance in check.

Matt Glickman

CEO at Genesis Computing

Jess MacLeod

Global Head of Agentic Data Engineering at Kubrick Group

Lauren Delgado

Director of Product Marketing for Data Engineering at Snowflake

Bilal Aslam

Vice President of Product Management at Databricks

code-along

PIPELINE

Thu, Dec. 3

Build Your First AI-Assisted Data Pipeline with Fivetran & dbt

See how the modern stack fits together. Build an ingest-transform-test pipeline, with AI writing your dbt models, docs, and data quality tests as you go.

Sean McIntyre

Staff Solutions Architect at dbt Labs

Deepen your skills

Build confidence and industry context between sessions

Career

report

The State of AI Careers 2026

Built on two million job postings. Data and AI roles rose 80.2% year over year in Q1 2026, and AI skills carry a 56% wage premium. See which roles are growing fastest and where to invest your skills.

interactive

Data + AI Career Builder

Find your next role in two minutes. Dive into job growth trends, the most in-demand skills today, what leading employers need, geographic demand, and key salary benchmarks.

podcast

How to Get Hired as a Data or AI Engineer

Tuesday's speaker Deepak Goyal on the skills employers screen for, the portfolio projects that prove them, and how to prep for interviews and negotiate the offer.

guide

How to Become a Data Engineer in 2026

A five-step path from first skills to first role: the technical stack to learn, the portfolio projects that show it, and how to land applications and interviews.

guide

Become an AI-Native Data Leader

Find how to measure impact, which skills data professionals need now, why "human in the loop" falls short as a governance model, and how to bring a team along without a mandate.

Session-matched

tutorial

Jev Tutorial: Building a Ticket Router With TypeSafe AI's System One Model

Learn how to set up TypeSafe AI's Python SDK and build a support ticket router that keeps the routing policy in your own code, and find out where Jev breaks before you ship it.

webinar

The New Data Engineering Team

Leaders from Altimate AI and SCOR, plus a former Capital Group VP, on how AI changes who data engineers build for, what teams now hire for, and the governance agents need.

tutorial

Great Expectations Tutorial: Validating Data with Python

Set up GX Core, define data quality rules, and run validations inside an ETL workflow, so you arrive at Thursday's pipeline session knowing what a good test looks like.

tutorial

Snowflake and Streamlit: A Complete Guide to Building Data Apps

Build, deploy, and optimize Streamlit apps directly within Snowflake. Leverage the popular open-source Python framework through its integration with a powerful cloud platform.

A path from your first pipeline to certified data engineer

Learn. Master. Prove it on your resume.

Your pathway

course

Understanding Data Engineering

Basic

Intermediate

Advanced

2 hrs

See how data moves through an organization and what data engineers own, before you write a line of code.

Start Course

career track

Associate Data Engineer in SQL

30 hrs

Design databases, model a warehouse, and work in PostgreSQL and Snowflake: the foundations every pipeline sits on.

Start Track

career track

Data Engineer in Python

40 hrs

Build your AI foundation with hands-on, AI-native learning that adapts to your pace. Explore how AI works, and learn how to use it effectively and responsibly.

Start Track

certification

Data Engineer Associate

Timed exam + practical

Build your AI foundation with hands-on, AI-native learning that adapts to your pace. Explore how AI works, and learn how to use it effectively and responsibly.

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