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Remote Citizen Science Jobs in Michigan (NOW HIRING)

U.S. Courts

Systems Support Specialist

Detroit, MI · On-site +1

$65K - $82K/yr

Provide end user support to onsite and remote workers for all applications supported and systems ... S. citizen or must be a lawful permanent resident (i.e., green card holder) and seeking U.S ...

All JobsRemote Citizen Science JobsRemote Citizen Science Jobs in Michigan

Remote Citizen Science information

What are the key skills and qualifications needed to thrive as a Remote Citizen Science participant, and why are they important?

To thrive as a Remote Citizen Science participant, you need strong observational skills, attention to detail, and a basic understanding of scientific methods, often supported by relevant training or tutorials provided by project organizers. Familiarity with online data collection platforms, mobile apps, and digital communication tools is typically required. Reliability, curiosity, and effective communication are valuable soft skills that help you contribute accurate data and collaborate with project teams. These skills ensure high-quality contributions, foster meaningful engagement, and support the success of scientific research conducted remotely.

What are some common challenges faced by remote citizen science volunteers, and how can they be addressed?

Remote citizen science volunteers often encounter challenges such as staying motivated without direct supervision, interpreting data collection protocols accurately, and communicating effectively with project coordinators. To overcome these obstacles, many projects offer online training, clear guidelines, and regular virtual meetings to foster a sense of community. Engaging with discussion forums or project updates can also help volunteers feel connected and supported, ensuring a rewarding and productive experience.

What is the difference between Remote Citizen Science vs Remote Data Analyst?

AspectRemote Citizen ScienceRemote Data Analyst
Required CredentialsTypically no formal degree, but knowledge of science or research methods helpsBachelor's or higher in statistics, data science, or related field
Work EnvironmentVolunteer or research-based projects, often community-drivenCorporate or research organizations, analyzing data remotely
Employer & Industry UsageNonprofits, research institutions, citizen science platformsBusinesses, government agencies, research firms
Search & Comparison IntentUnderstanding volunteer research roles, community scienceData analysis jobs, remote data work opportunities

Remote Citizen Science involves participating in scientific research projects often on a volunteer basis, focusing on community-driven or research institution work. Remote Data Analysts analyze data for organizations, requiring specific degrees and technical skills. While both roles involve remote work, Citizen Science emphasizes community engagement and research participation, whereas Data Analysts focus on data interpretation and reporting for organizations.

What is remote citizen science?

Remote citizen science refers to public participation in scientific research projects that can be done from a distance, often online. Volunteers help collect, analyze, or classify data for scientists, usually through web platforms or mobile apps, without needing to be physically present at research sites. This approach allows people from around the world to contribute to important scientific discoveries in areas like ecology, astronomy, and public health. Remote citizen science makes science more accessible and enables large-scale data collection that would otherwise be difficult or costly for professional researchers.
What are popular job titles related to Remote Citizen Science jobs in Michigan? For Remote Citizen Science jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Citizen Science jobs in Michigan look for? The top searched job categories for Remote Citizen Science jobs in Michigan are:
What cities in Michigan are hiring for Remote Citizen Science jobs? Cities in Michigan with the most Remote Citizen Science job openings:
Remote Citizen Science jobs near you
Senior Data Engineer (Snowflake + DBT)

Senior Data Engineer (Snowflake + DBT)

CMK Resources Inc

Troy, MI • On-site, Remote

$107K - $128K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

CMK Resources is seeking a Senior Data Engineer (Snowflake + DBT required) for a client based in Michigan. This role supports analytics and data-platform initiatives that enable better health outcomes and efficient benefit management that our client seeks to improve for in-home healthcare providers and members.
Location: Detroit metro preferred (Troy, MI) - hybrid onsite Thursdays; remote possible if needed but candidate must meet most requirements
Eligibility: US Citizen or Green Card only
Key responsibilities

  • Design, develop, and maintain scalable data pipelines using Snowflake and dbt.
  • Build and optimize data models in Snowflake to support BI, reporting, and analytics.
  • Implement ETL/ELT workflows with dbt to transform raw data into analytics-ready datasets.
  • Tune Snowflake queries, storage/compute usage, and dbt models for performance and cost efficiency.
  • Integrate Snowflake with diverse internal systems and third-party data sources.
  • Implement data quality checks, monitoring, and validation processes.
  • Collaborate with data analysts, data scientists, engineers, and business stakeholders to translate requirements into solutions.
  • Produce and maintain clear documentation for data models, transformations, and pipeline designs.
Required skills & qualifications
  • 5+ years hands-on data engineering experience.
  • Expert SQL skills - writing, optimizing, and debugging complex queries.
  • Proven hands-on Snowflake experience (data modeling, query tuning, architecture/integration).
  • In-depth dbt experience (models, macros, tests, CI/CD/workflow orchestration).
  • Solid understanding of cloud data warehousing concepts and best practices.
  • Experience with ETL/ELT patterns, data quality frameworks, and observability/monitoring.
  • Strong analytical, problem-solving, and communication skills; able to work cross-functionally.
Nice-to-haves
  • Experience with orchestration tools (Airflow, Prefect, Dagster).
  • Familiarity with BI tools (Looker, Tableau, Power BI) and analytics consumption patterns.
  • Python or another scripting language for data engineering tasks.
  • Prior experience in healthcare, claims, or DMEPOS/benefits environments.

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