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Apprentice Astronomy Data Analysis Jobs in Michigan

GCP Data Engineer with Python

Dearborn, MI · On-site

$105K - $126K/yr

The engineer will work with GCP tools like Astronomer/Composer and leverage Python for automation ... The engineer will collaborate with existing team members, including Software Analysts and Scrum ...

Astronomy Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

What We Look For In a Astronomy Tutor * Advanced Subject Mastery: Deep knowledge of celestial ... analyzing light curves, and understanding redshift data. Emphasizes quantitative reasoning about ...

Astronomy Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

What We Look For In a Astronomy Tutor * Advanced Subject Mastery: Deep knowledge of celestial ... analyzing light curves, and understanding redshift data. Emphasizes quantitative reasoning about ...

Astronomy Tutor

Detroit, MI · Remote

$18 - $40/hr

What We Look For In a Astronomy Tutor * Advanced Subject Mastery: Deep knowledge of celestial ... analyzing light curves, and understanding redshift data. Emphasizes quantitative reasoning about ...

Data Engineer (GCP)

Dearborn, MI · On-site

$105K - $126K/yr

Develop analytical tools, scripts, algorithms, and automation to support data engineering ... Work with QlikView, Cloud Functions, Data Fusion, Astronomer, and Apache Airflow. Required ...

Data Engineer (GCP)

Dearborn, MI · On-site

$105K - $126K/yr

Develop analytical tools, scripts, algorithms, and automation to support data engineering ... Work with QlikView, Cloud Functions, Data Fusion, Astronomer, and Apache Airflow. Required ...

GCP Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Work with stored procedures, triggers, data modeling, QlikView, Cloud Functions, Data Fusion, Astronomer, and Airflow. Skills Required Data/Analytics, Data Warehousing, Data Modeling Skills Preferred ...

Data Engineer

Dearborn, MI

$105K - $126K/yr

Experience in Stored procs, triggers, data modelling, Qlik View and cloud function and data fusion, astronomer and air flow Skills Required: * Data/Analytics * Data Warehousing * Data Modeling Skills ...

Google Cloud Platform Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Work with stored procedures, triggers, data modeling, QlikView, Cloud Functions, Data Fusion, Astronomer, and Airflow. Skills RequiredData/Analytics, Data Warehousing, Data Modeling Skills ...

Earth Science Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

Advanced Subject Mastery: Deep knowledge of geology, meteorology, oceanography, astronomy ... Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping ...

Earth Science Tutor

Detroit, MI · Remote

$18 - $40/hr

Advanced Subject Mastery: Deep knowledge of geology, meteorology, oceanography, astronomy ... Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping ...

Earth Science Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

Advanced Subject Mastery: Deep knowledge of geology, meteorology, oceanography, astronomy ... Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping ...

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Apprentice Astronomy Data Analysis information

What is an apprentice astronomy data analysis?

Apprentice Astronomy Data Analysts are entry-level professionals who assist astronomers and researchers in collecting, processing, and interpreting astronomical data. They typically work with data from telescopes, satellites, or simulations, using specialized software and analytical techniques. Apprenticeships in this field provide hands-on experience and training, helping individuals develop skills in data analysis, programming, and scientific research. These roles are designed for those starting their careers in astronomy and looking to gain practical knowledge under the supervision of experienced scientists.

What types of projects and datasets can an apprentice astronomy data analysis expect to work with on a daily basis?

As an Apprentice Astronomy Data Analyst, you’ll frequently work with observational data from telescopes, both ground-based and space-based, including images, spectra, and time-series data. Typical tasks involve cleaning raw data, running analyses using software tools like Python or specialized astronomy packages, and collaborating with senior researchers to interpret results. You may contribute to ongoing projects related to the study of exoplanets, galaxies, or variable stars, and regularly participate in team meetings to discuss findings and troubleshoot challenges. This hands-on experience is invaluable for building technical skills and understanding the collaborative nature of astronomical research.

What are the key skills and qualifications needed to thrive as an apprentice astronomy data analysis, and why are they important?

To thrive as an Apprentice in Astronomy Data Analysis, a solid grounding in physics, mathematics, and computer science—often supported by a relevant undergraduate degree or coursework—is essential. Familiarity with data analysis tools such as Python, MATLAB, or R, as well as experience with astronomical databases and telescope data processing software, is typically required. Attention to detail, problem-solving abilities, and effective communication help candidates collaborate with research teams and interpret complex datasets. These skills ensure accurate analysis, meaningful scientific contributions, and successful integration into research environments.

What is the difference between Apprentice Astronomy Data Analysis vs Astronomy Data Analyst?

AspectApprentice Astronomy Data AnalysisAstronomy Data Analyst
Required CredentialsBasic degree or ongoing education in astronomy or related fieldBachelor's or higher in astronomy, physics, or data analysis
Work EnvironmentTraining programs, research labs, observatoriesResearch institutions, universities, observatories
Employer & Industry UsageEntry-level, learning-focused roles in astronomy projectsProfessional roles analyzing astronomical data for research or publications

In summary, Apprentice Astronomy Data Analysis is an entry-level, training-focused position for individuals developing skills in astronomical data analysis, often within educational or research settings. In contrast, Astronomy Data Analysts are more experienced professionals responsible for interpreting complex data to support scientific discoveries.

What are the most commonly searched types of Astronomy Data Analysis jobs in Michigan?

The most popular types of Astronomy Data Analysis jobs in Michigan are:

What cities in Michigan are hiring for Apprentice Astronomy Data Analysis jobs?

Cities in Michigan with the most Apprentice Astronomy Data Analysis job openings:

GCP Data Engineer with Python

Saransh Inc

Dearborn, MI • On-site

$105K - $126K/yr

Contractor

Re-posted 21 days ago


Job description

Role: GCP Data Engineer with Python
Location: Dearborn, MI (4 days a week onsite)
Job Type: Contract
 
Experience: Overall 8 to 12 years

Job Summary:
  • The Data Engineer will be responsible for supporting the Credit Global Securitization (GS) team’s upskilling initiative by contributing to data engineering efforts across cloud and traditional platforms.
  • This role is intended to accelerate development and delivery.
  • The engineer will work closely with cross-functional teams to build, optimize, and maintain data pipelines and workflows using GCP, Python, and ETL tools.

Required Technical Skills:
  • 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.
  • Experience with RDBMS technologies such as DB2 and Teradata.
  • Exposure to Big Data ecosystems and distributed data processing.

Nice to have Technical Skills:
  • Prior experience with ETL tools like DataStage or Informatica.

Responsibilities:
  • The Data Engineer will play a key role in the developing and maintaining scalable data pipelines and workflows.
  • The engineer will work with GCP tools like Astronomer/Composer and leverage Python for automation and transformation tasks.
  • The role involves integrating data from RDBMS platforms such as DB2 and Teradata, and supporting ETL processes using tools like DataStage or Informatica.
  • The engineer will collaborate with existing team members, including Software Analysts and Scrum Masters, and will be expected to contribute to knowledge sharing and process improvement.
     
Specifically:
  • Develop and implement solutions using GCP, Python, Big Data technologies to enhance data analysis capabilities.
  • Collaborate with cross-functional teams to design and optimize data models in Teradata and DB2 environments.
  • Utilize Python for scripting and automation to streamline geospatial data processing tasks.
  • Integrate and manage data workflows using Cloud Composer to ensure efficient data pipeline operations.
  • Leverage GCP Cloud to deploy scalable applications and services.