# Software Engineer, Facilities Pipeline

**Company:** [Fluidstack](https://hotfix.jobs/companies/fluidstack)
**Location:** Austin, TX, New York, NY, San Francisco, CA, Seattle, WA
**Role:** Data Engineering
**Salary:** $269k – $317k/yr
**Experience:** 5+ years
**Skills:** Data Pipelines, bacnet, modbus, opc ua, industrial protocols, vendor apis, data validation, time-series databases, Go, Python, TypeScript, Grafana, iot data
**Posted:** 2026-07-17

> Build and own the facilities data pipeline for AI data center telemetry, including ingestion from industrial protocols (BACnet, Modbus, OPC UA), data quality tooling, and serving clean APIs/datasets for dashboards, controls, and ML. Requires production data pipeline experience with on-call ownership, industrial protocol integration, and full-stack debugging.

## Job Description

## Build the facilities data pipeline
- Ingestion, transformation, and serving of telemetry from every site.
- Ship the connectors that speak the field's languages: BACnet, Modbus, OPC UA, and vendor APIs, reliably.
- Own data quality in code: validation, gap detection, and backfill tooling.
- Serve the consumers: clean APIs and datasets for dashboards, controls, and ML.

## Requirements
- Shipped production data pipelines and owned them on call.
- Integrated with industrial protocols or ugly vendor APIs and made them reliable.
- Test data code properly: correctness, latency, and gaps.
- Debug across the stack, from a flatlined sensor to a slow query.
- Work fast with modern tooling and AI-assisted development.

## Nice-to-Haves
- Time-series systems.
- Go, Python, or TypeScript.
- Industrial and IoT data.
- Grafana ecosystems.

## Similar roles

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