Your event pipes.Kept honest.
Publish enriched profiles to the Kafka and S3 destinations you already own. Consent-gated by default.
Free plan available · No credit card required
0.0on G2What the Data Engineer actually does.
Three capabilities, working together on your customer context.
Event sync to your own infrastructure
The Data Engineer routes enriched events to Kafka topics and S3 buckets you own, in the format your consumers already read, with consent checked before the send.
Schema and identity upkeep
It watches what is actually arriving, flags properties that appeared or stopped, and shows which segments depend on them before anything breaks downstream.
Source and destination health
Volume by source, a source that went quiet, a destination that started failing - surfaced as it happens rather than the week someone notices the numbers moved.
5 steps, from prompt to shipped artifact
Each step earns the next. You approve at every gate; the agent drafts inside them.
Declare the destination
Register the Kafka topic or S3 prefix. It publishes only where you've declared, and fails loudly rather than creating infra.
Map the schema once
/analytics-foundation maps what you send, /data-quality verifies it. Downstream consumers get the shape they expect.
Send stream or batch
Streaming publishes each event live. Batch writes to your lake in Parquet on a window. Pick per destination.
Gate every send on consent
/compliance-setup gates delivery on what each person agreed to. Suppressed profiles never reach the wrong destination.
Surface drift before it breaks
New properties, missing ones, quiet sources, failing destinations - flagged with the segments that depend on them.
Hire the role, or deploy the agent?
Same job, different cost, ramp, and coverage. Fully-loaded headcount vs the agent that runs 24/7 on your customer data.
| Hiring a Data Engineer | The AI Data Engineer | |
|---|---|---|
| Annual cost | $134,000 base + benefits | $0 on Free plan, from $24/seat/mo paid |
| Time to first delivery | 3-6 months to productive | First destination published in under an hour |
| Availability | 40 hours per week | 24/7, publishes as events arrive |
| Schema drift detection | Alerts when someone notices | Flags the affected segments before the next send |
| Consent enforcement | Manual gate per destination | Checked on every send, audit-logged |
| Destinations | One at a time, engineering ticket | Kafka, S3, Snowflake, HubSpot, Google Ads - declared once |
US Glassdoor median base salary, 2026. Fully-loaded cost adds 25-35% for benefits, equipment, and payroll tax.
Recipes the Data Engineer runs
Questions? Answered.
Everything worth asking before you invoke this agent.
Hire the Data Engineer.
Set the strategy. The Data Engineer runs the plays on your real customer context, 24/7, alongside the other 8 agents in Blu.
Explore the other 8 specialists
Data Engineer is one of 9. Each agent owns a piece of the GTM motion, from research and outreach to lifecycle and revenue ops.
