ZipRecruiter

Log In

1

Data Science Astronomy Jobs in Arizona (NOW HIRING)

Corning

Operations Department Head

Glendale, AZ

... and materials science. From the depths of the ocean to the farthest reaches of space, our ... Through data-driven decision-making, Lean leadership, and continuous improvement, the role ...

Corning

Manufacturing Solutions Manager

Glendale, AZ · On-site

$106K - $147K/yr

Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the ... Demonstrated success leading data-driven improvement initiatives and structured problem-solving ...

Corning

Operations Department Head

Glendale, AZ

Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the ... Through data-driven decision-making, Lean leadership, and continuous improvement, the role ...

Corning Inc.

Operations Department Head

Glendale, AZ · On-site

$106 - $146/hr

Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the ... Through data-driven decision-making, Lean leadership, and continuous improvement, the role ...

Corning

Operations Department Head

Glendale, AZ · On-site

Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the ... Through data-driven decision-making, Lean leadership, and continuous improvement, the role ...

Corning

Quality Engineer

Glendale, AZ · On-site

$80K - $110K/yr

... and materials science. From the depths of the ocean to the farthest reaches of space, our ... defense, astronomy, ophthalmic products, telecommunications components and cover glass that is ...

previous page

Showing results 41-52

All JobsData Science Astronomy JobsData Science Astronomy Jobs in Arizona

Data Science Astronomy information

What is a data science astronomy?

A Data Science Astronomy job combines data science techniques with astronomical research to analyze vast amounts of space-related data. Professionals in this field work with large datasets from telescopes, satellites, and simulations, using machine learning, statistical methods, and computational tools to uncover insights about the universe. They may be involved in tasks like detecting exoplanets, analyzing galaxy formations, or improving automated data processing in observatories. This role typically requires expertise in programming, data analysis, and domain knowledge in astronomy.

What types of projects or datasets do data science astronomy professionals typically work with?

Data Science Astronomy professionals often work on projects involving the analysis of massive datasets from telescopes, satellites, or astronomical surveys, such as those compiled by the Sloan Digital Sky Survey or the James Webb Space Telescope. Their responsibilities may include cleaning and processing raw observational data, developing predictive models, and uncovering patterns related to cosmic phenomena like exoplanets, galaxies, or dark matter. Collaboration with astronomers, software engineers, and other scientists is common, fostering a dynamic and innovative environment. Working with these diverse datasets presents exciting challenges and offers opportunities to contribute to groundbreaking discoveries in the field.

What are the key skills and qualifications needed to thrive in the data science astronomy position, and why are they important?

To thrive as a Data Science Astronomy professional, you need a solid background in statistics, astrophysics, programming (often in Python or R), and experience with large datasets, usually supported by an advanced degree in astronomy, physics, or a related field. Familiarity with machine learning libraries, data visualization tools, and astronomy-specific databases or software like Astropy and SQL is highly beneficial. Strong analytical thinking, problem-solving abilities, and the capacity to collaborate in interdisciplinary teams are essential soft skills. These competencies enable accurate analysis of astronomical data, practical scientific discovery, and effective teamwork in research or applied settings.

What are the most commonly searched types of Data Science Astronomy jobs in Arizona?

The most popular types of Data Science Astronomy jobs in Arizona are:

What are popular job titles related to Data Science Astronomy jobs in Arizona?

For Data Science Astronomy jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Data Science Astronomy jobs in Arizona look for?

The top searched job categories for Data Science Astronomy jobs in Arizona are:

Data Science Astronomy jobs near you
Infographic showing various Data Science Astronomy job openings in Arizona as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Principal Software Architect

Association Of Universities For Research In Astronomy

Tucson, AZ • On-site

Full-time

Retirement, PTO

Re-posted 12 days ago

Job description

NOIRLab is seeking a visionary Principal Software Architect to lead the architectural strategy and technical evolution of software systems that power world-class astronomical research, observatory operations, and scientific data management.

In this highly influential leadership role, you will define the technology roadmap for a diverse portfolio of scientific and operational platforms spanning cloud computing, distributed systems, high-performance computing (HPC), data-intensive applications, and AI-enabled technologies. You will drive modernization efforts that advance scientific discovery, improve engineering productivity, and ensure the reliability and scalability of mission-critical systems supporting some of the world's most advanced astronomical facilities.

Working closely with scientists, software engineers, data specialists, and operations teams, you will provide hands-on technical leadership, translate complex scientific requirements into innovative software solutions, and establish architectural standards that enable long-term sustainability and growth.

This is a unique opportunity to shape the future of scientific software and enable transformational discoveries through technology.

Essential FunctionsArchitectural Leadership & Technology Strategy
  • Define and execute the architectural vision, technology roadmap, and long-term strategy for NOIRLab's scientific and operational software ecosystem.
  • Establish enterprise-scale architecture principles, engineering standards, governance processes, and best practices.
  • Lead architectural reviews and guide critical technology decisions across software, data, infrastructure, and operational domains.
  • Partner with scientific and engineering stakeholders to translate complex requirements into scalable, secure, and resilient solutions.
  • Identify and address architectural risks, technical debt, and modernization opportunities across the software portfolio.
  • Champion modernization initiatives that improve system scalability, reliability, maintainability, and operational efficiency while supporting uninterrupted scientific operations.
System Design & Engineering Excellence
  • Architect and evolve cloud-native, containerized, distributed, and HPC-based platforms supporting observatory operations, scientific data pipelines, user services, and large-scale data processing systems.
  • Design solutions capable of managing petabyte-scale datasets and computationally intensive scientific workloads.
  • Develop reference architectures, prototypes, and technical frameworks that accelerate solution delivery and consistency across teams.
  • Drive adoption of DevSecOps practices, Infrastructure as Code (IaC), CI/CD pipelines, automated testing, observability, and site reliability engineering principles.
  • Participate in architecture reviews, design reviews, code reviews, and implementation of critical software components.
Innovation & Technical Enablement
  • Evaluate and adopt emerging technologies, including artificial intelligence (AI), machine learning (ML), generative AI, and large language model (LLM) solutions, where they deliver measurable scientific, engineering, or operational value.
  • Serve as a trusted technical mentor and thought leader across engineering teams.
  • Foster collaboration, knowledge sharing, and architectural consistency across science, software, data, and operations organizations.
  • Help advance software engineering practices that support innovation, quality, and long-term sustainability.
Additional Responsibilities
  • Perform other duties as assigned.
  • Ensure compliance with AURA property management requirements and organizational policies.
  • Support compliance with applicable government award terms and conditions as defined in organizational award management systems.
Requirements
Education & Experience
  • Bachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical field; equivalent professional experience will be considered.
  • 15+ years of progressive software engineering experience, including experience as a Software Architect, Principal Engineer, Distinguished Engineer, or similar technical leadership role.
  • Demonstrated success designing, delivering, and evolving large-scale distributed and data-intensive software systems.
Technical Expertise
  • Deep expertise in software architecture, system design, API design, scalability, resilience, reliability, and distributed systems.
  • Experience designing and operating cloud-native, containerized, microservices-based applications and platforms.
  • Strong background in multiple programming languages and modern software development methodologies.
  • Experience building and managing platforms that process and store petabyte-scale data.
  • Experience with scientific computing, high-performance computing (HPC), distributed computing, or large-scale computational environments.
  • Experience designing data pipelines, workflow orchestration systems, and data-intensive platforms.
  • Knowledge of event-driven architectures, messaging systems, and asynchronous processing patterns.
  • Experience with DevSecOps, CI/CD, Infrastructure as Code, monitoring, observability, and software delivery automation.
  • Understanding of secure software development practices, including authentication, authorization, and data protection.
  • Experience evaluating, integrating, or leveraging AI/ML, generative AI, or LLM-powered capabilities within software platforms or engineering workflows.
Leadership Skills
  • Exceptional communication and collaboration skills, with the ability to work effectively across scientific, engineering, and operational organizations.
  • Demonstrated ability to influence technical direction, mentor engineers, and lead through architectural expertise rather than direct authority.
  • Proven hands-on leadership experience through architecture design, prototyping, technical guidance, and code reviews.
Preferred Qualifications
  • Experience developing software for scientific, research, or data-intensive environments.
  • Experience supporting scientific instrumentation, observatory operations, or large-scale scientific data pipelines.
  • Experience contributing to or leading open-source software projects.
  • Experience working in astronomy, astrophysics, earth sciences, national laboratories, research institutions, or other mission-driven scientific organizations.
Work Environment

This position operates in a professional office environment and routinely utilizes standard office equipment, including computers, phones, and copiers. The work environment is generally quiet and may involve working in close proximity to others, depending on the needs of the specific function

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Must be able to remain in a stationary position at least 50% of the time.

  • Occasional need to move about inside the office environment to access files, office tools, attendance in a meeting room, etc.

  • Constantly operates a computer and other office productivity tools that require fine motor skills, such as a calculator, copy machine, computer printer, etc.

  • May occasionally need to position self to maintain computer and related tools.

  • Seldomly needed to move objects up to 10 pounds.

  • Constant communication with other individuals. Must be able to discern and exchange information as appropriate to the situation.

  • Constant need to distinguish, discern, and identify a variety of objects and fine details with accuracy.

  • Occasional work at high elevation summit sites may be required (summit elevations range from 6,800 feet to 14,000 feet) 

The above statements are intended to describe the general nature and level of work being performed by individuals assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities and skills required by personnel so classified. This Institute promotes Equal Employment Opportunity workplace that includes reasonable accommodations to otherwise qualified, disabled applicants and employees.

Salary Range: $155,673 – $189,559 per year. The final salary will depend on skills, qualifications and experience.

AURA offers an excellent benefits package including paid time off and retirement plan contributions, competitive salary commensurate with experience, and a very attractive work environment. Details on benefits can be found at Benefits by Location - Aura Human Resources

This position will remain open until it is filled. Please submit a cover letter and a CV or resume, PDF files preferred. Please name any attachments with the following format: LastName DocName.

Individuals needing assistance with the employment process can request assistance here.

Apply