Software Engineer, Facilities Pipeline

Fluidstack

$90K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in data pipeline development and management.
  • Proficiency with industrial protocols such as BACnet, Modbus, and OPC UA.
  • Experience with APIs and integration of third-party vendor systems.
  • Strong debugging skills across various system layers.
  • Familiarity with modern development tools and AI-assisted methodologies.
  • Bonus: Experience with time-series databases and languages such as Go, Python, or TypeScript.

Responsibilities

  • Build and maintain the facilities data pipeline for telemetry ingestion and transformation.
  • Develop reliable connectors for industrial communication protocols and APIs.
  • Ensure data quality through validation and gap detection mechanisms.
  • Create clean APIs and datasets for use in dashboards and machine learning applications.
  • Manage end-to-end data flow, addressing issues from sensors to queries.

Benefits

  • Supportive work environment that values exceptional talent.
  • Encouragement to propose unique roles or adaptations of the job description.
  • Commitment to pay equity and transparency in the workplace.
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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