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Quasar Jobs (NOW HIRING)

Guida's Dairy

Sr. Data Engineer - AI

Kansas City, KS

$110K - $132K/yr

Provide practical front-end development support using TypeScript, JavaScript, Vue, and Quasar to help deliver intuitive AI-enabled applications. Job Duties and Responsibilities: * Design, build, and ...

Dairiconcepts, L.P.

Sr. Data Engineer - AI

Kansas City, KS

$110K - $132K/yr

Provide practical front-end development support using TypeScript, JavaScript, Vue, and Quasar to help deliver intuitive AI-enabled applications. Job Duties and Responsibilities: * Design, build, and ...

Apex Informatics

Senior Software Developer

$55.75 - $73.75/hr

The tool is a Python/Django/DRF backend running on Linux servers with a JavaScript/Vue3/Quasar frontend SPA user interface. The developer team is relatively small: only ~5 people. We're looking for ...

Mondo

Vue.JS Developer

Kansas City, MO · Remote

$50 - $60/hr

Experience with Quasar and/or Vuetify * Familiarity with LIT components * Experience implementing data visualization or charting solutions

QUASAR LIMOUSINE

Driver Chauffeur

Scottsdale, AZ · On-site

Company Description Over 25 years in business. Sedans, limousines and party buses. State of the art. Family business. We treat our employees and clients like family too. All gigs (jobs) are pre ...

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How much do quasar jobs pay per year?

As of Sep 15, 2026, the average yearly pay for quasar in the United States is $79,480.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $92,000.00 per year, depending on experience, location, and employer.

What is a quasar developer?

Quasar developers are professionals who specialize in building web, mobile, and desktop applications using the Quasar Framework, which is based on Vue.js. They use Quasar's extensive set of UI components and tools to create high-performance, responsive applications that run on multiple platforms from a single codebase. Their responsibilities often include designing user interfaces, writing and maintaining code, and optimizing apps for different devices. Quasar developers are skilled in JavaScript, Vue.js, and modern web technologies. They help streamline the development process and ensure a consistent user experience across platforms.

What are some common challenges faced by Quasar developers when integrating Quasar with existing Vue.js projects?

Quasar Framework Developers often encounter challenges such as ensuring compatibility between existing Vue.js components and Quasar-specific components or plugins. Migrating styles and layouts to leverage Quasar's rich UI kit can require careful refactoring, and there may be a learning curve in adopting Quasar's CLI and build system. Additionally, aligning project dependencies and managing configurations to optimize performance and maintainability are frequent considerations. Collaboration with front-end and back-end teams is key to smoothly integrating Quasar into established workflows.

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

To thrive as a Quasar developer, you need strong proficiency in JavaScript, Vue.js, and front-end development principles, often supported by experience with responsive web design. Familiarity with the Quasar Framework, Vue CLI, and build tools like Webpack or Vite is essential, as well as knowledge of RESTful APIs. Excellent problem-solving, communication, and teamwork skills help in collaborating on complex projects and ensuring client needs are met. These abilities enable developers to efficiently create high-quality, scalable applications that deliver seamless user experiences across platforms.

What is the difference between Quasar vs Data Analyst?

AspectQuasarData Analyst
Required CredentialsBachelor's degree in physics, astronomy, or related fields; experience with data analysis toolsBachelor's degree in statistics, mathematics, or related fields; proficiency in data analysis software
Work EnvironmentResearch institutions, observatories, space agenciesCorporate, finance, healthcare, or government agencies
Industry UsageAstrophysics, space exploration, scientific researchBusiness intelligence, market research, operations

While Quasar specialists focus on astrophysical data and scientific research, Data Analysts interpret business data to inform decisions. Both roles require analytical skills and data handling, but Quasars are more research-oriented within scientific fields, whereas Data Analysts work across various industries to analyze commercial data.

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What are the most commonly searched types of Quasar jobs?

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What states have the most Quasar jobs?

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Quasar jobs near you
Infographic showing various Quasar job openings in the United States as of September 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 90% Physical, 5% Hybrid, and 5% Remote job distribution, with an average salary of $79,480 per year, or $38.2 per hour.

Sr. Data Engineer - AI

Kansas City, KS • On-site

Dairy Farmers of America, Inc.
See more jobs at Dairy Farmers of America, Inc.external

$110K - $132K/yr

Full-time

Posted 28 days ago

Dairy Farmers Of America rating

7.2

Company rating: 7.2 out of 10

Based on 169 frontline employees who took The Breakroom Quiz

Job description

Serve in a senior-level technical role designing, building, and supporting secure, scalable data pipelines that connect enterprise data sources to AI/ML models. Ensure data is accurate, current, compliant, and aligned with enterprise AI governance standards while independently solving complex integration challenges and advancing data engineering best practices. Provide practical front-end development support using TypeScript, JavaScript, Vue, and Quasar to help deliver intuitive AI-enabled applications.
Job Duties and Responsibilities:
  • Design, build, and optimize scalable ETL/ELT pipelines that ingest, transform, and integrate structured and unstructured enterprise data for AI/ML model training and inference
  • Ensure data is accurate, current, reliable, and secure through cleansing, normalization, validation, automation, continuous updates, monitoring, and error handling
  • Troubleshoot complex integration and performance issues, remove bottlenecks, and apply appropriate techniques such as caching, distributed processing, and specialized ETL patterns
  • Own key AI data infrastructure components and ensure they are scalable, maintainable, and supported by effective monitoring, logging, documentation, data lineage, and quality metrics
  • Apply enterprise architecture, AI governance, privacy, security, coding, and CI/CD standards to data solutions and communicate risks or limitations to leadership
  • Partner with Software engineers, data architects, domain experts, product teams, and platform teams to align data solutions with model requirements, business goals, and enterprise standards
  • Develop and support front-end components for AI-enabled applications using TypeScript, JavaScript, Vue, and Quasar to deliver intuitive, maintainable user experiences
  • Independently deliver assigned work, influence cross-team decisions, promote data engineering best practices, and evaluate technologies that improve AI data delivery
  • The requirements herein describe the general nature and level of work performed by the employee but are not a complete list of responsibilities, duties, and skills required. Other duties may be assigned as needed

Minimum Requirements:
Education and Experience
  • Undergraduate degree in Computer Science, Data Engineering, Information Systems, or related field
  • 8+ years data engineering, software development, or related experience, including work on data pipelines for AI/ML systems
  • Proficiency with data engineering languages, platforms, and orchestration tools such as Python, SQL, PySpark, Snowflake, Databricks, and Apache Airflow
  • Experience developing or supporting modern single-page applications using TypeScript or JavaScript, preferably with Vue and Quasar, including component-based design and API integration
  • Strong knowledge of relational and NoSQL databases, data warehouses or data lakes, integration platforms such as Azure Data Factory, and streaming technologies such as Kafka
  • Experience with at least one major cloud data ecosystem, preferably Azure, and familiarity with infrastructure-as-code and automated deployment practices
  • Proven ability to design and implement ETL/ELT pipelines, manage databases or data lakes, and integrate large-scale data systems
  • Certifications in cloud data engineering or in data privacy/security and experience with MLOps or AI/ML lifecycle management preferred

Knowledge, Skills and Abilities
  • Must be willing to travel 15-25% (1-2 times per quarter)
  • Deep knowledge of data engineering and AI/ML pipeline practices, including the ability to design and optimize scalable, reliable, and efficient data solutions
  • Strong understanding of data quality, governance, privacy, security, and regulatory requirements
  • Able to independently analyze and troubleshoot complex data and integration issues and apply creative, data-driven solutions when standard approaches are insufficient
  • Able to align technical solutions with business priorities, including speed, cost, risk, reliability, and desired outcomes, and exercise sound judgment in situations with limited precedent
  • Able to communicate complex technical concepts clearly, collaborate across teams, and build stakeholder trust through transparency and reliable delivery
  • Able to lead technical initiatives, document approaches clearly, influence peers, and promote adoption of standards and best practices
  • Practical ability to develop and support accessible, responsive single-page applications using TypeScript or JavaScript, preferably Vue and Quasar, with reusable components and API integration
  • Must be able to read, write, and speak English

An Equal Opportunity Employer including Disabled/Veterans

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