Stack for Data Engineer
Data Engineer stack 2026
Pipelines, warehouses, and AI-driven transforms.
Data engineers are increasingly asked to bolt LLMs onto every pipeline. This stack stays SQL-first and treats AI as another transform, not a replacement.
Editor
AI Agent
LangGraph
Determinism-friendly agent for ETL-style flows.
DSPy
Programmatic prompt optimization for data extraction.
Database
DuckDB
In-process analytics that fits in CI and notebooks.
ClickHouse
Real-time analytics at scale without a Spark cluster.
Postgres
Operational source of truth before it hits the warehouse.
Deploy
Dagster
Asset-aware orchestration with strong types.
Modal
Run heavy Python transforms without managing infra.
Read moreObservability
OpenLineage
Lineage standard that plugs into most orchestrators.
Datadog
Pipeline metrics and alerting in one pane.
Payments
Stripe Sigma
SQL access to billing data for finance dashboards.
From the DD app suite
DD Academy
Courses and structured learning paths for AI-native developers.
Sibling stacks
- AI Agency Owner
Repeatable client builds, billed by outcome.
- SaaS Builder
Auth, billing, multi-tenant, on day one.
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