Software Engineer, Facilities Pipeline

Fluidstack

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

Qualifications

  • 5-7 years of experience in data pipeline development and maintenance.
  • Proficient with industrial protocols such as BACnet, Modbus, and OPC UA.
  • Expertise in debugging and validating data across various layers of the stack.
  • Comfortable with modern coding languages, preferably Go, Python, or TypeScript.
  • Experience with time-series database systems and tools like Grafana.

Responsibilities

  • Build and maintain the facilities data pipeline for telemetry ingestion, transformation, and serving.
  • Develop reliable connectors for various industrial communication protocols and vendor APIs.
  • Ensure data quality through validation processes and tools for gap detection and backfill.
  • Provide cleaned APIs and datasets for analytics, dashboards, and machine learning applications.
  • Support end-users by delivering intuitive data services and solutions.

Benefits

  • Flexible work environment with a strong emphasis on work-life balance.
  • Opportunities for professional development and learning.
  • Collaborative team culture that values innovative ideas.
  • Focus on pay equity and transparent compensation practices.
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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