Hire data engineers who ship pipelines, not tickets.
Senior data engineers who build the pipelines, embeddings, and retrieval layers your AI features depend on — shipped as production code in a week.
What our data engineers ship.
The data layer under every good AI feature.
Vector & embeddings
Pinecone, Weaviate, Qdrant, pgvector — chunking, embeddings, and hybrid search done right.
ETL pipelines
Reliable ingestion and transformation into Postgres, Snowflake, or your warehouse.
Retrieval layers
Hybrid search and re-ranking that actually improves answer quality.
Data quality
Validation, dedup, and monitoring so garbage never reaches your model.
How it works.
Subscribe, submit a task in plain English, get a clean GitHub PR in a week.
Scope in 20 minutes
Book a call. We confirm fit, recommend a tier, and send a written scope in 4 business hours.
- No payment to start
- Written scope in 4 hours
- Days-to-ship estimate
Engineer in your Slack
A senior data engineer matched to your stack joins within 24 hours of green-lit scope.
- Matched to your stack
- Daily updates on Growth+
- Profile shared first
We ship via PR
Pipeline code lands in your repo with tests, docs, and a deploy guide in 5–7 days.
- Tests on every module
- Deploy guide included
- Runbook + monitoring
What every data engagement includes.
Common questions.
Build your AI data layer this week.
Book a free 20-minute scoping call. We'll scope the pipeline task, estimate the ship date, and recommend a tier.