# Getting Started for Data Engineers

![Data Engineer Overview](/assets/data-overview.5e4fbe92444da5c78421d0191de7e53895017cbb6b3a73d659ef1ce81263b5f0.ea4863fe.avif)

As a **Data Engineer**, you are responsible for the data lifecycle within Treasure Data—from ingestion to unification and modeling.

## 1. Data Ingestion

* [Integration Hub](/products/customer-data-platform/integration-hub): Connect your data sources (S3, Google Analytics, Salesforce, etc.).
* [Setup Web Tracking](/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/quickstart): Set up streaming ingestion.


## 2. Data Management

* [Data Workbench](/products/customer-data-platform/data-workbench): Run SQL queries and manage databases.


## 3. Identity Resolution

* [ID Unification](/products/customer-data-platform/id-unification): Configure rules to stitch user profiles together.


## 4. Parent Segments

* [Parent Segments](/products/customer-data-platform/data-workbench/parent-segments): Create and manage Parent Segments for Audience Studio.


## 5. AI & Automation

* [AI Agent Foundry](/products/customer-data-platform/ai-agent-foundry): Develop and manage AI agents that utilize your data.


## Need Help?

* [Contact Support](/support/contacting-treasure-data-support): Learn how to get assistance from our support team.