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Volunteer Data Engineer Jobs in Michigan (NOW HIRING)

Stellantis

Data Engineer - Supply Chain

Auburn Hills, MI

$108K - $130K/yr

The Data Engineer plays a critical role in enabling this vision by designing, building, and ... Student loan refinancing programs * 18 paid volunteer hours each year to make a difference in your ...

Stellantis

Data Scientist

Auburn Hills, MI

Partner with data engineers to define and source relevant data features for modeling as well as ... Student loan refinancing programs * 18 paid volunteer hours each year to make a difference in your ...

Stellantis

Ontology Engineer

Auburn Hills, MI

This role is focused on designing scalable data models and developing high-quality, production ... Student loan refinancing programs * 18 paid volunteer hours each year to make a difference in your ...

Stellantis

Business & Data Analyst

Auburn Hills, MI

Overview: Business and Data Analysts work closely with data engineers, data scientists, and ... Student loan refinancing programs * 18 paid volunteer hours each year to make a difference in your ...

Stellantis

Business & Data Analyst

Auburn Hills, MI

Overview: Business and Data Analysts work closely with data engineers, data scientists, and ... Student loan refinancing programs * 18 paid volunteer hours each year to make a difference in your ...

Charles Schwab

Senior Software Engineer

Ann Arbor, MI · On-site

$119K - $158K/yr

This is an opportunity to work at the intersection of software engineering, cloud technology, data ... Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for ...

Stellantis

Quality Data Analyst

Sterling Heights, MI

They will work with Engineering and assembly plant personnel to track issue resolution and ensure ... Student loan refinancing programs * 18 paid volunteer hours each year to make a difference in your ...

Stellantis

Quality Data Analyst

Sterling Heights, MI · On-site

They will work with Engineering and assembly plant personnel to track issue resolution and ensure ... Student loan refinancing programs * 18 paid volunteer hours each year to make a difference in your ...

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Showing results 1-20

All JobsVolunteer Data Engineer JobsVolunteer Data Engineer Jobs in Michigan

Volunteer Data Engineer information

See Michigan salary details

$38.8K

$113.1K

$154.7K

How much do volunteer data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for volunteer data engineer in Michigan is $113,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $119,800.00 per year, depending on experience, location, and employer.

What is a volunteer data engineer?

A Volunteer Data Engineer is a role in which individuals contribute their data engineering skills to support nonprofit organizations or community-driven projects. They typically help with tasks such as data collection, ETL processes, database management, and data pipeline development. This position is usually unpaid but offers valuable experience in working with real-world data while making a positive impact. Volunteers may work remotely or on-site, depending on the organization. It’s a great opportunity to gain hands-on experience, expand a portfolio, and network with other technical professionals.

What are the typical responsibilities of a volunteer data engineer?

As a Volunteer Data Engineer, you may be responsible for designing and maintaining data pipelines, cleaning and transforming raw data, and supporting data analysis tasks for your organization or project. You’ll often work closely with data analysts, program managers, and other volunteers to ensure the data infrastructure supports key decision-making and reporting needs. Responsibilities may also include developing scripts to automate processes, troubleshooting data issues, and implementing best practices for data security and privacy. This collaborative environment offers opportunities to expand your technical skills while contributing to impactful community or social initiatives.

What are the key skills and qualifications needed to thrive as a volunteer data engineer?

To thrive as a Volunteer Data Engineer, you need a solid understanding of data modeling, ETL processes, and programming languages like Python or SQL, along with a relevant degree or coursework in computer science, data engineering, or a related field. Experience with tools such as Apache Spark, Airflow, and cloud platforms like AWS or Google Cloud, as well as relevant certifications, is highly valued. Strong problem-solving skills, effective communication, and a collaborative attitude are essential soft skills for this role. These competencies enable you to build robust data pipelines, contribute meaningfully to nonprofit initiatives, and work efficiently with diverse teams in fast-paced, resource-limited environments.

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

The most popular types of Data Engineer jobs in Michigan are:

What are popular job titles related to Volunteer Data Engineer jobs in Michigan?

For Volunteer Data Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Volunteer Data Engineer jobs in Michigan look for?

The top searched job categories for Volunteer Data Engineer jobs in Michigan are:

Volunteer Data Engineer jobs near you
Infographic showing various Volunteer Data Engineer job openings in Michigan as of August 2026, with employment types broken down into 81% Full Time, 8% Part Time, and 11% Contract. Highlights an 98% In-person, and 2% Hybrid job distribution, with an average salary of $113,060 per year, or $54.4 per hour.

IT Data Engineer

Western Michigan University

Kalamazoo, MI • On-site

$65K - $76K/yr

Full-time

Medical, Retirement, PTO

Re-posted 2 days ago

Western Michigan University rating

6.7

Company rating: 6.7 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

491st of 630 rated colleges and universities

Job description

Description
The Data Engineer is responsible for designing, building, and maintaining the organization's data
infrastructure to support a scalable, governed, and analytics-ready environment. This role focuses on the
development of robust data pipelines, integration of disparate data sources, and optimization of data storage
and processing frameworks, while contributing to the evolution of the WMed data platform toward a data-asa-
service (DaaS) model that enables standardized, secure, and reusable access to trusted data assets
across clinical operations, medical education, research, compliance, and executive decision-making.
Working within a modern data architecture, the Data Engineer transforms fragmented, system-centric data
into structured, reliable, and accessible datasets. This role partners closely with analysts, stakeholders, and
technical teams to ensure data availability, integrity, and performance across platforms including partner
EHRs, academic systems, and enterprise applications.
Please Note this is a Salaried Hybrid Position that will require on-site attendance. (MI residents only or willing to relocate - at their expense, to Michigan)
This position is NOT eligible for employer-sponsored work authorization (visa sponsorship), now or in the future.
BENEFITS
  • Wellness reimbursement.
  • Continuing education and tuition reimbursement.
  • Employer-funded retirement plan.
  • Two medical plan options: PPO and High Deductible Health Plan (HDHP) with employer HSA contribution.
  • Flexible work solutions based on position and department.
  • Up to four weeks of PTO accrual beginning in year one.
  • Paid holidays.
  • Paid volunteer time.
  • Paid preferred holiday.

DUTIES AND RESPONSIBILITIES:
  • Design, build, and maintain scalable data pipelines to ingest, transform, and load data from clinical, academic, and enterprise systems
  • Develop and manage ETL processes using tools such as Pentaho and Microsoft SSIS, ensuring reliability and performance
  • Design and implement data models and schemas to support downstream analytics and reporting use cases
  • Contribute to the development of a DaaS platform, enabling reusable, governed data products and standardized access patterns for analysts, applications, and self-service users
  • Optimize and maintain PostgreSQL data environments, including performance tuning and storage strategies
  • Implement and monitor data quality, validation, and error-handling processes
  • Establish and maintain data lineage, metadata, and documentation to support governance and transparency
  • Integrate new data sources into the data platform, including APIs, flat files, and third-party systems
  • Troubleshoot and resolve data issues across the full data lifecycle
  • Support the evolution of organizational data architecture toward a modern, scalable platform
  • Contribute to standards, best practices, and governance frameworks for data engineering
  • All other duties as assigned

Requirements
To perform this job successfully, an individual must be able to perform each duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.
EDUCATION AND/OR EXPERIENCE:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related technical field (or equivalent experience).
  • 3 to 5 years of experience in data engineering, ETL development, or data platform engineering.
  • Advanced proficiency in SQL (PostgreSQL or similar relational databases).
  • Experience designing and managing data pipelines and workflows (Pentaho, Microsoft SSIS, or similar ETL tools).
  • Experience working with healthcare data systems preferred.
  • Experience integrating academic and enterprise systems preferred.

OTHER SKILLS AND ABILITIES:
  • Strong understanding of data architecture, data modeling, and data warehousing concepts.
  • Experience building and maintaining data pipelines (ETL), orchestration, and scheduling frameworks.
  • Knowledge of data warehousing and/or data lake architectures.
  • Experience with data quality frameworks, validation, and monitoring.
  • Familiarity with performance tuning and query optimization.
  • Familiarity with modern data platform concepts including DaaS and self-service analytics enablement.
  • Understanding of data governance, lineage, and metadata management concepts.
  • Experience working with structured and semi-structured data (CSV, JSON, APIs).
  • Ability to troubleshoot data issues across multiple systems and layers (source to pipeline to warehouse to reporting).
  • Experience with BI tools (Power BI or similar) for downstream data consumption.
  • Ability to learn and adapt to evolving data technologies and platforms.

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