1

Data Engineer Astronomer Jobs (NOW HIRING)

Data Engineer

Irvine, CA ยท On-site

$122K - $147K/yr

Airflow / Astronomer * Data Engineering and pipeline orchestration * Experience with: * Spark performance tuning * Databricks platform administration * DAG design and enterprise orchestration * Data ...

Data Engineer

Irvine, CA ยท On-site

$120K - $150K/yr

... Astronomer DAG design, enterprise orchestration, reliability โ€ข Data Engineering pipeline design, data quality, scalability โ€ข DevOps CI/CD, infrastructure as code, automation โ€ข Platform ...

Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

As a Data Engineer, you will own key parts of the pipeline lifecycle-from ingesting source data ... Experience with data orchestration platforms such as Apache Airflow and/or Astronomer for pipeline ...

Data Engineer

San Jose, CA ยท On-site

$50 - $58/hr

Data Engineer Location: San Jose (Local Candidates Only) Duration: 6 months + possible extension ... Develop and manage workflow orchestration using Airflow / Astronomer. * Monitor, troubleshoot, and ...

Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

As a Data Engineer, you will own key parts of the pipeline lifecycle-from ingesting source data ... Experience with data orchestration platforms such as Apache Airflow and/or Astronomer for pipeline ...

Data Engineer

Dearborn, MI ยท Hybrid

$115K - $192K/yr

Experience with Apache Airflow or Astronomer . You may not check every box, or your experience may ... Master's Degree in Computer Science, Data Engineering, or a related quantitative field. * 5+ years ...

GCP Data Engineer with Python

Dearborn, MI ยท On-site

$105K - $126K/yr

Minimum 3+ years of hands-on experience with Google Cloud Platform (GCP), specifically using Astronomer/Composer for orchestration. * Strong proficiency in Python for data engineering and automation.

Data Engineer

Houston, TX ยท On-site

$109K - $131K/yr

Hands-on experience building ELT/ETL pipelines and orchestration with tools such as Astronomer/Airflow; proficiency with Git and CI/CD. * Deep understanding of core data engineering patterns ...

Sales Engineer

San Francisco, CA ยท On-site

$200K - $250K/yr

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is ... As a Sales Engineer at Astronomer, you'll be a key partner to our clients, guiding them in ...

Data Engineer

Dearborn, MI ยท On-site

$115K - $192K/yr

Design, develop, and maintain complex data pipelines using Astronomer and Airflow . * Cloud ... Master's Degree in Computer Science, Data Engineering, or a related quantitative field. * 5+ years ...

Lead Data Engineer

Phoenix, AZ

$113K - $136K/yr

Role Overview The Lead Data Engineer will serve as a technical leader responsible for defining data ... Orchestration using dbt Cloud and Astronomer Airflow * Experience implementing logging, monitoring ...

Data Engineer

Omaha, NE ยท On-site +1

$109K - $131K/yr

Barbaricum is seeking a Data Engineer to provide support an emerging capability for the USSTRATCOM ... A degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other ...

Data Engineer

Dearborn, MI

$105K - $126K/yr

Stefanini is looking for a Data Engineer, Dearborn, MI (Onsite) For quick apply, please reach out ... fusion, astronomer and air flowSkilled in Data Analytics, Data Warehousing, Data Modeling ...

next page

Showing results 1-20

Data Engineer Astronomer information

See salary details

$44.5K

$129.7K

$177.5K

How much do data engineer astronomer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data engineer astronomer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What does a Data Engineer at Astronomer do?

A Data Engineer at Astronomer specializes in building, maintaining, and optimizing data pipelines and infrastructure, primarily using Apache Airflow. They work to ensure that data flows reliably and efficiently across systems, enabling organizations to process and analyze large volumes of data. Their responsibilities include designing data architecture, automating workflows, troubleshooting issues, and collaborating with data scientists and analysts to support data-driven decision making. By leveraging Astronomer's tools and platforms, Data Engineers help teams orchestrate complex data workflows in the cloud or on-premises environments.

What is the difference between Data Engineer Astronomer vs Data Engineer?

AspectData Engineer AstronomerData Engineer
Required CredentialsBachelor's in Computer Science, Data Science, or Astronomy; experience with data pipelines and cloud platformsBachelor's in Computer Science, Software Engineering, or related field; strong programming and database skills
Work EnvironmentResearch institutions, observatories, or data-focused organizations with a focus on astronomical dataTech companies, finance, healthcare, or any industry handling large-scale data processing
Employer & Industry UsagePrimarily in scientific research, astronomy, and academiaAcross various industries including tech, finance, healthcare, and retail

While both roles involve building and maintaining data pipelines, Data Engineer Astronomer specializes in processing astronomical data and often works in research settings. Data Engineers focus on large-scale data infrastructure across diverse industries. The key difference lies in the domain expertise and application environment.

How does a Data Engineer at Astronomer typically collaborate with data scientists and other stakeholders within the organization?

As a Data Engineer at Astronomer, you'll work closely with data scientists, analysts, and business stakeholders to design, build, and maintain data pipelines that support analytics and machine learning projects. Regular collaboration involves translating business requirements into technical solutions, ensuring data quality, and troubleshooting pipeline issues together. You will often participate in cross-functional meetings to align on data infrastructure needs and advise on best practices, fostering a team-oriented environment focused on delivering reliable data solutions.

What are the key skills and qualifications needed to thrive as a Data Engineer Astronomer, and why are they important?

To thrive as a Data Engineer Astronomer, you need a strong background in computer science, data engineering, and astronomy, typically supported by degrees in relevant fields such as physics or engineering. Proficiency with programming languages (such as Python or SQL), big data tools (like Apache Spark), and astronomical data systems (such as FITS or VO standards) is essential. Strong analytical thinking, problem-solving abilities, and effective communication help bridge the gap between scientific research and technical implementation. These skills ensure accurate processing and interpretation of vast astronomical datasets, enabling impactful research and discoveries.

$122K - $147K/yr

Full-time

Posted 27 days ago


Job description

Overview:
Job Title: Data Engineer
Location: Irvine, CA
Job Type: Full-Time Opportunity
Job Summary
We are seeking a highly skilled Data Engineer with strong platform engineering and data pipeline expertise to support enterprise-scale delivery initiatives. The ideal candidate should have deep hands-on experience with Databricks, Airflow/Astronomer, DevOps automation, and scalable data engineering solutions.
This role requires senior-level engineers capable of owning technical delivery, driving platform reliability, and collaborating with highly technical engineering teams.
Required Skills
  • Strong hands-on expertise in:
    • Databricks
    • Apache Spark
    • Airflow / Astronomer
    • Data Engineering and pipeline orchestration
  • Experience with:
    • Spark performance tuning
    • Databricks platform administration
    • DAG design and enterprise orchestration
    • Data quality and scalable pipeline architecture
  • Strong DevOps knowledge including:
    • CI/CD pipelines
    • Infrastructure as Code (IaC)
    • Automation frameworks
  • Experience managing:
    • Platform stability
    • Monitoring and observability
    • Operational readiness and support
Key Responsibilities
  • Design, develop, and optimize scalable data pipelines and workflows
  • Build and maintain enterprise orchestration solutions using Airflow/Astronomer
  • Perform Spark optimization and Databricks platform tuning
  • Support platform engineering initiatives focused on scalability, reliability, and automation
  • Implement CI/CD and infrastructure automation for data platforms
  • Monitor platform health and ensure operational stability
  • Collaborate with cross-functional engineering teams to deliver technical solutions
  • Own technical delivery for assigned scope, timelines, and outcomes
Preferred Qualifications
  • Experience in cloud-based data engineering environments
  • Strong troubleshooting and performance optimization skills
  • Experience working in highly technical Agile engineering teams