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Remote Astronomy Jobs in Park Ridge, IL (NOW HIRING)

Sales Engineer

Chicago, IL · Remote

$200K - $250K/yr

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is ... The work location for this role is based in the Chicago area and follows a remote work model. The ...

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Remote Astronomy information

What is a Remote Astronomy job?

A Remote Astronomy job involves conducting astronomical research, data analysis, or telescope operations from a remote location rather than an observatory or institution. These roles often include analyzing data from space telescopes, developing software for simulations, or collaborating with research teams worldwide. Many remote astronomers work in academia, government agencies, or private research organizations. Strong skills in programming, data analysis, and astrophysics are typically required.

What are the key skills and qualifications needed to thrive in the Remote Astronomy position, and why are they important?

To thrive in Remote Astronomy, you need a strong background in physics, mathematics, and astrophysics, typically supported by an advanced degree in astronomy or a related field. Familiarity with programming languages (such as Python or MATLAB), remote telescope networks, data analysis software, and experience with astronomical databases are essential. Outstanding analytical thinking, self-motivation, and effective virtual communication skills set candidates apart in this position. These qualifications are important for conducting complex research, collaborating with global teams, and contributing to scientific discoveries from a remote setting.

What does a typical workday look like for someone in a Remote Astronomy role?

A typical day for a Remote Astronomy professional involves analyzing astronomical data, writing or modifying code to process observations, and coordinating with international teams via video conferencing and collaborative platforms. Tasks may include planning telescope observations, interpreting data from remote observatories, and contributing to research papers or grant proposals. While scheduling can often be flexible, the role may occasionally require work during non-standard hours to align with observation windows or team meetings across different time zones. Regular communication with colleagues and ongoing professional development are key components of the work environment in remote astronomy.
What are popular job titles related to Remote Astronomy jobs in Park Ridge, IL? For Remote Astronomy jobs in Park Ridge, IL, the most frequently searched job titles are:
What cities near Park Ridge, IL are hiring for Remote Astronomy jobs? Cities near Park Ridge, IL with the most Remote Astronomy job openings:
Infographic showing various Remote Astronomy job openings in Park Ridge, IL as of May 2026, with employment types broken down into 6% Internship, 49% Full Time, and 45% Part Time. Highlights an 100% Remote job distribution.
Sales Engineer

$200K - $250K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io.
About this role:
Astronomer is on a mission to make DataOps a first-class discipline in every modern data organization. As the driving force behind Apache Airflow, we're powering mission-critical pipelines at scale for companies like Condé Nast, Rappi, Sonos, and more. We're expanding our Sales Engineering team to help data teams orchestrate, observe, and optimize their data pipelines with confidence.
The work location for this role is based in the Chicago area and follows a remote work model. The position requires regional travel of approximately 25%, aligned with business needs.
What You Get to Do:

  • Lead the technical sales motion in partnership with Account Executives - discovery, demos, proof-of-concepts, and architecture discussions
  • Understand customer pain and translate it into high-impact technical solutions tied to business value
  • Build and deliver tailored demos and POCs using Python, Airflow, and related tools
  • Guide customers through modern DataOps strategies - from orchestration to observability and automation
  • Influence product feedback loops, collaborate cross-functionally, and contribute to go-to-market strategy
What you bring to the role:
You're technically sharp, customer-oriented, and energized by solving real problems with data teams. We're not looking for a perfect checklist match - but here's what a strong candidate might bring:
  • Python fluency, CLI comfort, and experience building with tools like Docker
  • Familiarity with cloud-native data architectures (AWS, GCP, or Azure)
  • Understanding of data engineering workflows: orchestration, ELT/ETL, DAGs, CI/CD
  • Exposure to platforms like Airflow, Snowflake, Databricks, BigQuery, dbt, or similar
  • 3-10 years total experience, including 2+ years in a customer-facing technical role (Sales Engineering, Solutions Architect, etc.)
  • Strong communication skills across technical and business stakeholders
  • Startup-friendly mindset: proactive, adaptable, fast-moving
Bonus points if you have:
  • Experience with observability, Kubernetes, or helping teams scale modern data stacks.
Why Astronomer?
  • We're defining the DataOps layer of the modern data stack - not just orchestration
  • Airflow is the standard - we're making it enterprise-ready, secure, and scalable
  • Backed by top-tier investors and trusted by data-forward organizations
  • You'll work with a team that values clarity, ownership, and high standards - without ego

The estimated total compensation for this role ranges from $200,000 - $250,000, along with an equity component. This range is merely an estimate, and the width of the range reflects willingness to consider candidates with broad prior seniority. Actual compensation may deviate from this range based on skills, experience, and qualifications.
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