Data Engineer, Billing & Payments at Anthropic ($320k-$405k)
Data Engineer, Billing & Payments — San Francisco, CA · full-time · Hybrid · $320k-$405k
AI Dev Jobs Blog4 min read
dbt
17 stories
Data Engineer, Product at Anthropic ($320k-$405k)
Data Engineer, Product — San Francisco, CA · full-time · Hybrid · $320k-$405k
AI Dev Jobs Blog4 min read
Top Data Engineering GitHub Projects for Your Portfolio
A strong data engineer portfolio is a small set of complete, well-documented pipelines rather than a long list of half-finished notebooks. Each repository should ingest data from a real or realistic source, apply a defined transformation or modeling step, and land the output somewhere queryable,…
AI and Machine Learning Roadmaps Blog7 min read
Set Budgets and Alerts for Cloud Data Warehouse Costs
Every analytics team has been here: a month-end invoice arrives, and a single SQL...
Databricks Blog10 min read
How to Repoint dbt ETL Pipelines to Databricks
More teams are running their dbt transformations on Databricks Lakehouse: an open...
Databricks Blog10 min read
What Is a Context Layer? Context Layer vs Semantic Layer, and How to Build or Buy One
Coworker AI explains the context layer: what it is, how it differs from a semantic layer, RAG and knowledge graphs, and how to build, buy or test one.
Coworker AI Blog29 min read
Scaling and Operating a Large dbt Project on Databricks: IFCO's Data Team on Performance, Visibility, and Debugging
AbstractIFCO runs one of the world's largest reusable packaging pools with hundreds of millions of crates and pallets...
Databricks Blog13 min read
Building monty: Clay's Self-Serve Analytics Agent
Data teams have endless request queues. Here's how Clay built monty, a Slack-based analytics agent, so anyone can query the warehouse in plain English.
Clay Blog32 min read
From Hours to Minutes: Automating Data Debug with Multi-agent Systems
From Hours to Minutes: Automating Data Debug with Multi-agent Systems The Data Debugging Grind My engineers typically spend 30% of their time debugging data. On some days, that number climbs to 50% …
Towards AI4 min read
What Is a Context Layer? A Guide for AI Teams
A team runs an AI agent on what looks like a clean dataset and asks a simple question: what's the projected Q4 revenue for the East Coast division? The agent returns a number, confident and completely wrong. The real culprit usually isn't the model.
PromptQL Blog11 min read
Why Warehouse-Centric Attribution Is Only Half the Battle: Action-Native Execution in 2026
Data warehouses like Snowflake give you reporting clarity, but charts do not pause a burning budget or reallocate CPCs at 2 AM. Why action-native execution across 27 ad platforms is the other half of the battle.
Synter Media AI Blog8 min read
WALMART Data Engineering End-To-End Project [Airflow + DBT + Databricks]
Thanks to GHOST for sponsoring this video. Try GHOST now - https://b.link/ansh-gost Data Engineering End-To-End Project | Databricks | Airflow | DBT | AWS | End-To-End Data Engineer Project What you will learn?
Ansh Lamba JSR
What Is a Semantic Layer? The 2026 Field Guide
A founder's field guide to the semantic layer in 2026: what it is, why AI agents fail without one, and how dbt, Cube, AtScale, Looker, and Malloy compare.
Supaboard AI Blog31 min read
Inside AskData: How We Slashed Token Consumption by Over 90%
Pinecone is the trusted AI knowledge company. Its AI knowledge platform—Database, Nexus, and Marketplace—powers accurate, fast, cost-effective AI for 10,000+ customers and 1M developers worldwide.
Pinecone14 min read
Top ThoughtSpot Alternative in 2026: Best Tools Compared
ThoughtSpot pioneered search-style analytics at enterprise prices. How alternatives compare on setup cost, modelling and time to first answer.
Supaboard AI Blog8 min read
How a Knowledge Engine Works: From Artifacts to Agent-Ready Answers
A knowledge engine is the data infrastructure category that lets agents query trusted, compiled knowledge instead of brute-forcing retrieval over raw data. How one is built, how agents query it, and how it compares to RAG, vector databases, and semantic layers.
Pinecone19 min read
Data Engineering in 2027: What Skills Will Still Matter?
What data engineers actually do now that pipelines became a commodity, which parts of the job automate away, and which judgement calls never will.
Supaboard AI Blog12 min read
Showing 17 of 17 stories
You're all caught up.
AiByts Weekly Brief
Get the top AI news and tools straight to your inbox every week.
Weekly · AI news
Join 15,000+ AI enthusiasts