Software Engineer, Facilities Pipeline

Fluidstack

$120K — $160K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience working with production data pipelines
  • Hands-on experience with industrial protocols like BACnet, Modbus, OPC UA
  • Proven ability to validate data and detect gaps
  • Strong debugging skills across the technology stack
  • Familiarity with modern development tools and AI-assisted technologies
  • Experience with time-series databases is a plus
  • Proficient in programming languages such as Go, Python, or TypeScript

Responsibilities

  • Build the facilities data pipeline for telemetry ingestion and transformation
  • Develop reliable connectors for various industrial communication protocols
  • Maintain and ensure data quality through validation and backfill tooling
  • Provide clean APIs and datasets for analytics and machine learning use cases
  • Support end users with effective data solutions for dashboards and controls

Benefits

  • Commitment to pay equity and transparency
  • Opportunities for professional growth and development
  • Supportive work culture that values diverse talents
  • Flexible working arrangements based on company policies
  • Engagement in innovative projects at the intersection of tech and industrial operations
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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