Software Engineer, Facilities Pipeline

Fluidstack

$100K — $150K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Proven experience in building and maintaining production data pipelines
  • Familiarity with industrial protocols like BACnet, Modbus, OPC UA
  • Strong skills in data validation, gap detection, and backfill tooling
  • Ability to debug issues effectively across different layers of technology
  • Experience with modern development tools and AI-assisted practices
  • Bonus: Knowledge of time-series systems and languages like Go, Python, or TypeScript

Responsibilities

  • Construct the facilities data pipeline for telemetry data handling
  • Develop reliable connectors for various industrial communication protocols
  • Ensure high data quality through validation and error tracking
  • Provide clean APIs and datasets for analytical tools and machine learning
  • Support data consumers with accurate and accessible datasets

Benefits

  • Commitment to pay equity and transparency
  • Inclusive workplace that values exceptional talent
  • Opportunity for professional growth and exploration in dynamic environments
  • Access to modern technology and tools
  • Engagement with diverse data streams from industrial contexts
Full Job Description
Role Scope
  • 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.
What We're Looking For
  • The below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would.
  • You've shipped production data pipelines and owned them on call.
  • You've integrated with industrial protocols or ugly vendor APIs and made them reliable.
  • You test data code properly: correctness, latency, and gaps.
  • You debug across the stack, from a flatlined sensor to a slow query.
  • You work fast with modern tooling and AI-assisted development.
  • Bonus: Time-series systems. Go, Python, or TypeScript. Industrial and IoT data. Grafana ecosystems.


We are committed to pay equity and transparency.

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