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Data Engineer Astronomer Jobs (NOW HIRING)

Senior Data Engineer

Baltimore, MD · Hybrid

$125K - $150K/yr

Senior Data Engineer The Space Telescope Science Institute (STScI), operated by the Association of Universities for Research in Astronomy (AURA), is NASA's science operations center for missions ...

Data Engineer

Dearborn, MI · On-site +1

$140K - $184K/yr

... astronomer airflow, terraform, or Github. 6. Utilizing Cloud Data Platforms and Technologies ... Data Engineer - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a ...

Senior Data Engineer

Baltimore, MD · On-site

$125K - $150K/yr

... in Astronomy (AURA), is NASA's science operations center for missions including the Hubble and ... We are seeking a Senior Data Engineer to join our Data Management Division. We're looking for a ...

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is ... Exposure to the data engineering or analytics space - bonus if you've heard of Apache Airflow.

Data Engineer/Maven SME

Omaha, NE · On-site

$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 ...

Full Stack Data Engineer

Dearborn, MI · On-site

$138K - $178K/yr

Full Stack Data Engineer - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this ... Employ Astronomer and Terraform for efficient data workflow management and cloud infrastructure ...

Senior Data Engineer

Calabasas, CA · On-site

$111K - $152K/yr

... Astronomer or AWS MWAA, including dbt Cosmos integration and DAG migration from Snowflake Tasks ... Required : • 6+ years of professional data engineering experience, including a stretch as a ...

Senior Data Engineer

Calabasas, CA · On-site

$145K - $160K/yr

Role Summary AmaWaterways is hiring our first Senior Data Engineer to scale the modern data ... An Astronomer or AWS MWAA layer to govern task graphs once the pipeline count exceeds what ...

Data Engineer/Maven SME

Omaha, NE · On-site

$109K - $131K/yr

They are seeking a Data Engineer to work on migrating existing data flows and developing a data ... A degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other ...

Data Engineer

Dearborn, MI · On-site

$140K - $184K/yr

Data Engineer - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a ... astronomer airflow, terraform, or Github. 6. Utilizing Cloud Data Platforms and Technologies ...

... Astronomer's Professional Services team. You work directly with engineering leaders, architects, and executive stakeholders to design and deploy data orchestration platforms on Astro, define a clear ...

Data Engineer/Maven SME

Omaha, NE · On-site

$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/Maven SME

Omaha, NE · On-site

$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 ...

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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.

Senior Data Engineer

Space Telescope

Baltimore, MD • Hybrid

$125K - $150K/yr

Other

Medical, Dental, Vision, Retirement, PTO

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


Job description

Senior Data Engineer

The Space Telescope Science Institute (STScI), operated by the Association of Universities for Research in Astronomy (AURA), is NASA's science operations center for missions including the Hubble and James Webb Space Telescopes. We are seeking a Senior Data Engineer to join our Data Management Division. We're looking for a talented and experienced professional to help manage the backend data pipelines, MPP database system and ensure high-performance, reliable data access for our advanced astronomical public data archive, the Mikulski Archive for Space Telescopes (MAST)one of the world's most advanced astronomical public data archives— serving missions such as HST, JWST, Roman, and TESS. This position can support hybrid work (around twice a quarter, in the office). Candidates must reside in or be willing to relocate to our local market. (MD, DE, VA, PA, DC & WV). This position requires US Citizenship or Permanent Residence to meet ITAR requirements.

We're hiring a Senior Data Engineer with strong core engineering skills and a passion for building robust, scalable data platforms. You'll work hands-on with real scientific datasets, modern ETL/ELT data pipelines, and advanced distributed systems in a collaborative environment that supports rapid growth. Show us your GitHub, your projects, your passion. We highly value strong fundamentals and learning agility. If you're a capable senior engineer ready to expand your expertise in modern data lake and query engine technologies, we'd love to hear from you.

Responsibilities

  • PostgreSQL/MPP Platform Performance & Operations
  • Airflow Pipelines — Design, develop, deploy, monitor, and troubleshoot complex data pipelines using Apache Airflow to process, transform, and load large-scale datasets efficiently and reliably.
  • Build, maintain, and continuously improve data systems supporting scientific research, including relational databases and cloud-based Lakehouse
  • Ensure data accuracy, accessibility, observability, and reliability through proactive monitoring, alerting, and incident response
  • Work with scientists, data engineers, and cross-functional teams to translate requirements into robust, scalable platform solutions.

Required Technical Skills

  • Advanced expertise in PostgreSQL and Greenplum MPP
  • Strong proficiency with Apache Airflow
  • Hands-on experience with AWS cloud services
  • Strong Python programming skills and proficiency in SQL and SQL performance tuning
  • Strong experience designing, building, and optimizing data pipelines at scale

Required Qualifications

  • Bachelor's or master's degree in computer science, Information Technology, or a related discipline
  • 8+ years of experience as a data engineer with proven expertise in Python, PostgreSQL, Airflow, AWS services, and production-grade practices

You'll have the opportunity to grow into:

  • Specialized technologies such as Trino for distributed querying, Apache Iceberg for lakehouse management, Greenplum or other MPP systems, and large-scale performance tuning
  • Tackling complex challenges with high-volume scientific data, query optimization, and modern data infrastructure

Our excellent benefits include:

  • Employer retirement contribution – direct STScI contribution of 10% of your salary from your first day
  • 12 days sick leave, up to 24 days' vacation, and 10 paid holidays
  • Flexible work schedule with healthy work/life balance
  • Comprehensive medical/dental/vision/prescription plans, and more!

Salary range is $125,000 - $150,000. Final compensation is based on experience, skills, internal equity, and market conditions.