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Cube Building Systems Jobs (NOW HIRING)

... building systems including plumbing, electrical, HVAC, and general contracting to ensure seamless facility operations * Assist with furniture moves, cube reconfigurations, and general moves as ...

You will transition from pure building to architecting-designing entire application modules ... Bachelor's degree in computer science, Systems Engineering, Information Systems, or related field ...

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OneStream Consultant

$94K - $157K/yr

You will transition from pure building to architecting-designing entire application modules ... Bachelor's degree in computer science, Systems Engineering, Information Systems, or related field ...

Integrate advanced autonomy using ROS2 and STM32 Cube platforms * Help shape our build pipeline ... Prior work on autonomous systems or robotic platforms We're not just building technology; we're ...

Company Description USM Business Systems Inc. is a quickly developing worldwide System Integrator ... Established in 1999, the organization has corner qualities in building and dealing with a Business ...

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Cube Building Systems information

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$21K

$108.4K

$152K

How much do cube building systems jobs pay per year?

As of Jun 7, 2026, the average yearly pay for cube building systems in the United States is $108,432.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What is the difference between Cube Building Systems vs HVAC Technician?

AspectCube Building SystemsHVAC Technician
CredentialsRelevant certifications in building automation and systems integrationHVAC certification, EPA license
Work EnvironmentCommercial and industrial building systemsHeating, ventilation, air conditioning systems in various settings
Industry UsageBuilding automation, smart building managementHVAC service and maintenance

Cube Building Systems professionals focus on integrating and managing building automation systems, while HVAC Technicians specialize in installing and maintaining heating and cooling systems. Both roles require technical certifications and work in building environments, but their core responsibilities differ significantly.

Infographic showing various Cube Building Systems job openings in the United States as of May 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $108,432 per year, or $52.1 per hour.
Senior Data Engineer - AI Empowerment

Senior Data Engineer - AI Empowerment

Heartflow

Rohnert Park, CA

$160K - $200K/yr

Other

Posted 16 days ago


Job description

Heartflow is a medical technology company advancing the diagnosis and management of coronary artery disease using cutting-edge technology. As we continue to revolutionize precision heartcare through our AI-driven integrated heart care solutions , we are seeking a proactive, self-starting Senior Data Engineer - AI Empowerment. This role is focused on architecting the infrastructure necessary to empower business processes with AI, specifically leveraging the power of our data lake to fuel advanced models.

Role Overview

In this role, you will move beyond simple ETL to building robust, observable data products that serve as the foundation for AI enablement. You will architect data pipelines that integrate with Google Vertex AI and Claude to automate complex business workflows. You will act as a technical lead, balancing high-level AWS infrastructure management with the mission of making our data lake assets "AI-ready" for the entire organization.

Job Responsibilities

  • AI Pipeline Orchestration: Build and manage complex data pipelines utilizing the Dagster framework to orchestrate data flows into Google Vertex AI for model training and deployment.
  • Stakeholder Engagement: Work closely with stakeholders from requirements gathering to training and ongoing support
  • LLM Integration: Design and maintain specialized pipelines that leverage Claude to automate business processes, ensuring high accuracy and context-aware outputs from our data lake.
  • AI-Driven Business Enablement: Enable departments to leverage AI-powered insights by providing clean, governed, and structured data sets optimized for LLM consumption.
  • Semantic Layer & BI: Support a unified semantic model in Cube (Cube.js) to provide consistent metrics that fuel both AI agents and human-centric dashboards.
  • Modern Data Stack Management: Manage and optimize high-performance storage and query layers using Iceberg, Amazon Redshift, and Athena to support the data-intensive needs of AI applications.
  • Mentorship & Governance: Lead data governance initiatives to ensure "AI-readiness" and provide technical mentorship to junior engineers on best practices for AI-centric data engineering.
  • 24/7 Support: On-call support for 24/7 critical business processes

Skills Needed

  • Languages & Libraries: Expert proficiency in Python (specifically pyiceberg, boto3, polars, and pandas) and SQL.
  • AI Platforms: Hands-on experience integrating data pipelines with Google Vertex AI and utilizing Claude for natural language processing tasks.
  • AWS Ecosystem: Deep hands-on experience with ECS (Fargate/EC2), Redshift, and Athena.
  • Pipeline Concepts: Mastery of Dagster data pipeline concepts, including Software-Defined Assets and declarative orchestration.
  • Modeling: Strong experience in Cube Dev semantic modeling and building reporting layers for complex business workflows.
  • Domain Knowledge: Proven track record in developing data systems that enable AI/ML capabilities or advanced business process automation.

Educational Requirements & Work Experience

  • Education: B.S. or M.S. in Computer Science, Data Engineering, or a related field.
  • Experience: 5+ years of Data Engineering experience, with significant time spent in AWS environments and a background in enabling AI/ML workflows.
  • Leadership: Demonstrated ability as a self-starter with experience mentoring peers and leading technical projects.

A reasonable estimate of the base salary compensation range is $160,000 to $200,000 per year, and bonus. #LI-IB1