Career Tracks Hub
Career Tracks
End-to-end engineering playbooks designed to take you from hello-world to staff engineer. Each path is a production-grade experience with code, projects, and coaching built in.
Foundation & Transition
Beginner → Mid
Core Data Engineer Path
The definitive journey to master the modern data stack and ship production pipelines.
Target:Career Switchers & Analysts
Duration:6–9 months
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Intermediate
Analytics / Product Data Engineer Path
Build version-controlled metrics platforms. Own dbt, product analytics, and semantic layers.
Target:BI & Product Analysts
Duration:4–6 months
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Advanced Infrastructure
Advanced
Data Platform Engineer Path
Architect enterprise-scale data systems. Master lakehouses, IaC, and leadership.
Target:Mid to Senior DEs
Duration:9–12 months
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Advanced
Streaming Data Engineer Path
Own real-time pipelines and event-driven systems with Kafka, Flink, and modern streaming.
Target:Real-Time Engineers
Duration:6–9 months
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Expert
AI / ML Platform Data Engineer Path
Build the infrastructure behind modern AI. Master MLOps, RAG systems, and agentic workflows.
Target:Senior DEs Entering AI
Duration:9–12 months
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