TL;DR Snowflake CoCo is Snowflake’s built-in AI coding agent, renamed from Cortex Code at Summit 2026. It reads a team’s actual schemas, RBAC permissions, and lineage before generating SQL, dbt models, Airflow DAGs, or ML pipelines, then executes the work inside Snowsight, a desktop IDE, or a CLI. On Snowflake’s own ADE-Bench testing, CoCo scored 72.1 percent accuracy against 65.1
TL;DR: The data engineering trends that matter in 2026 are agentic AI inside pipelines, lakehouse consolidation on open table formats, streaming-first architectures, data contracts with shift-left quality, FinOps for data platforms, governance embedded in engineering workflows, activated metadata catalogs, platform consolidation, vector databases for AI pipelines, selective data mesh adoption, and zero-copy data sharing. Teams that treat each one as
TL;DR Data engineering roles grew 23% in 2025 and the best candidates receive multiple offers within days. Most enterprise hiring processes are too slow to compete. This guide covers what to look for in a 2026 data engineering hire, how to assess real production judgment instead of syntax, where senior engineers are found, what the market pays, and when outsourcing
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