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Cube Jobs (NOW HIRING)

At Cube, we're redefining how organizations deliver, consume, and automate data and analytics across teams, tools, and AI agents. Our mission is to enable Agentic Analytics, where AI agents work ...

At Cube, we're redefining how organizations deliver, consume, and automate data and analytics across teams, tools, and AI agents. Our mission is to enable Agentic Analytics, where AI agents work ...

Account Executive

New York, NY · On-site

$80K - $100K/yr

Cube is the financial intelligence platform built for the AI-era. The world has evolved, but FP&A is still trapped in manual reconciliation cycles. While most platforms try to replace the ...

Ice Cube LLC., is a growing company with a state-of-the-art facility. As we continue to grow, we want to bring in the right people to help us continue on the right path. We pride ourselves in ...

Ice Cube LLC., is a growing company with a state-of-the-art facility. As we continue to grow, we want to bring in the right people to help us continue on the right path. We pride ourselves in ...

Job Summary : ClifyX is a company seeking a SQL Cube (SSAS) Developer. The role involves creating and managing cubes, along with development, testing, and support in production environments.

Ice Cube LLC., is a growing company with a state-of-the-art facility. As we continue to grow, we want to bring in the right people to help us continue on the right path. We pride ourselves in ...

REACH TRUCK/ FORKLIFT OPERATOR

Fall River, MA · On-site

$17.50 - $20.50/hr

REACH TRUCK/ FORKLIFT OPERATOR Ice Cube LLC., is a growing company with a state-of-the-art facility. As we continue to grow, we want to bring in the right people to help us continue on the right path.

At Cube, we're redefining how organizations deliver, consume, and automate data and analytics across teams, tools, and AI agents. Our mission is to enable Agentic Analytics, where AI agents work ...

Ice Cube LLC., is a growing company with a state-of-the-art facility. As we continue to grow, we want to bring in the right people to help us continue on the right path. We pride ourselves in ...

Retail & Cafe Manager

Los Angeles, CA · On-site

$70K - $75K/yr

Come join the fun and make a difference with Discovery Cube! For over 25 years, we've been inspiring kids and educators alike with our hands-on science education initiatives and interactive exhibits.

JOIN OUR TEAM Architecture and design is who we are, and we've created a culture at CUBE 3 that gives talented people like you a place to collaborate, grow and thrive in their career while delivering ...

Showing results 21-40

Cube information

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How much do cube jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for cube in the United States is $26.94, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $30.77 per hour, depending on experience, location, and employer.

What are cube jobs?

Cube jobs typically refer to roles related to working with Cube, a modern analytics platform and open-source framework used for building analytics applications. Professionals in these jobs often design, develop, and maintain data pipelines, build data models, and implement analytics solutions using Cube's APIs and tools. These roles may require skills in JavaScript, SQL, data engineering, and cloud platforms. Cube jobs are popular in organizations looking to deliver customized analytics and business intelligence solutions at scale.

What are some common challenges faced by cube developers when working with multi-dimensional data models?

Cube Developers often encounter challenges such as ensuring optimal query performance, managing complex data hierarchies, and maintaining data accuracy across different dimensions. Additionally, they frequently collaborate with data analysts and business intelligence teams to design models that meet diverse reporting needs. Staying updated with evolving BI tools and best practices is essential for success in this dynamic role.

What are the key skills and qualifications needed to thrive as a CubeSat engineer, and why are they important?

To thrive as a CubeSat Engineer, you need a solid background in aerospace engineering, electrical engineering, or a related field, often supported by a relevant degree and experience in satellite systems. Familiarity with satellite design software, systems engineering tools, and programming languages like Python or MATLAB, as well as certifications in project management or space systems, are commonly required. Strong problem-solving skills, teamwork, and effective communication set top performers apart in this role. These skills are crucial for designing, building, and deploying reliable CubeSat missions within tight technical and budgetary constraints.

What is the difference between Cube vs Data Analyst?

AspectCubeData Analyst
Required CredentialsKnowledge of OLAP, data modeling, and BI toolsDegree in statistics, mathematics, or related field; often includes certifications in data analysis
Work EnvironmentBusiness intelligence teams, data warehouses, analytics platformsOffice settings, data teams, consulting firms
Industry UsageUsed in data warehousing and BI solutionsApplied across industries for data interpretation and reporting

While both Cube and Data Analyst roles involve working with data, Cube typically refers to the technical aspect of data modeling within BI tools, whereas Data Analysts focus on interpreting data and generating insights. Understanding these differences helps in choosing the right career path or job focus.

What cities are hiring for Cube jobs?

Cities with the most Cube job openings:

What are the most commonly searched types of Cube jobs?

The most popular types of Cube jobs are:

What states have the most Cube jobs?

States with the most job openings for Cube jobs include:

Infographic showing various Cube job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 9% Part Time, 5% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $56,043 per year, or $26.9 per hour.
Cube Dev, Inc.
1 - 10 employees

Other

Posted 26 days ago


Key responsibilities

  • Design, build, and maintain the core platform that powers Cube's cloud product and supports Cube Core at scale.

  • Develop internal platform tooling to improve developer velocity, observability, and deployment safety.

  • Operate and enhance Kubernetes-based environments, ensuring reliability, scalability, and high availability.


Job description

At Cube, we're redefining how organizations deliver, consume, and automate data and analytics across teams, tools, and AI agents. Our mission is to enable Agentic Analytics, where AI agents work alongside humans on a shared semantic foundation


If you're fascinated by building core data and AI infrastructure, the kind that powers analytics at the world's most advanced technology companies, but want the agility and ownership of a startup, Cube is where you'll thrive.


With 19,000+ GitHub stars and 13,000+ community members, Cube is trusted by 400+ companies, including Maersk, Kimberly-Clark, Freshworks, Patagonia, Webflow, Brex, Deel, Tubi, Walmart, and Drata. Our platform empowers AI agents with a universal semantic foundation, enabling autonomous analytics at scale while maintaining consistency, security, and performance across BI tools, spreadsheets, and embedded applications.


As a Platform Engineer at Cube, you will be responsible for designing, building, and maintaining the core platform that powers Cube cloud product and supports Cube Core at scale. Your primary focus will be reliability, scalability, performance, and developer productivity across our infrastructure and internal platforms.


You will work closely with Core and Platform engineers to ensure Cube runs efficiently in production environments and provides a seamless experience for both internal teams and customers.


What you will do:

  • Designing and maintaining cloud-native infrastructure for a globally distributed analytics platform.

  • Building internal platform tooling to improve developer velocity, observability, and deployment safety.

  • Scaling multi-tenant systems that serve large volumes of analytical queries with strict latency requirements.

  • Improving reliability, fault tolerance, and disaster recovery for Cube cloud platform.

  • Operating Kubernetes-based environments and evolving our deployment and release pipelines.

  • Implementing monitoring, alerting, and incident response practices for a high-availability system.


Who you are:

  • Strong experience with cloud infrastructure (AWS, GCP, or similar).

  • Hands-on experience with Kubernetes, container orchestration, and infrastructure-as-code (Terraform or equivalent).

  • Solid understanding of distributed systems, networking, and Linux internals.

  • Experience building and operating production systems with high availability and performance requirements.

  • Proficiency in at least one programming language used for platform development (Go, Rust, Python, or similar).

  • Good communication skills and ability to work effectively in a remote, async environment.

  • Experience operating data-intensive or analytics-heavy platforms.

  • Familiarity with CI/CD systems and release automation.

  • Experience with observability stacks (Prometheus, Grafana, OpenTelemetry, etc.).

  • Background in security best practices for cloud platforms.

  • Contributions to open-source infrastructure or platform projects.


We're a fully remote company based in San Francisco. You can work from anywhere and join our highly collaborative team.


Cube does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. If you need reasonable accommodations during the interview process, please discuss this with the recruiter and we'll gladly work with you.

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