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Part Time Data Engineering Jobs in Michigan (NOW HIRING)

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Kett Engineering is seeking a CDL B Driver testing trucks in Plymouth, MI. Job will consist of ... Part-time role, no benefits offered REQUIREMENTS: * CDL B license with at least 3 years experience.

Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry ... This can be a full time role or a part time role, very flexible. What You Will Bring: * BSAE / BSME ...

Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry ... This can be a full time role or a part time role, very flexible. What You Will Bring: * BSAE / BSME ...

Civil Engineer in Training

Okemos, MI · On-site

$57K - $66K/yr

... engineering disciplines and professionals in the coordination of the project. * Perform data ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

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Part Time Data Engineering information

What is a part time data engineering job?

A part-time data engineering job involves working fewer hours than a full-time position, typically focusing on building and managing data pipelines, organizing data storage, and ensuring data quality for organizations. Part-time data engineers may work on specific projects or provide support to larger teams, often with flexible schedules. They use programming languages and tools like Python, SQL, and cloud platforms to move, transform, and optimize data. This role is ideal for those seeking work-life balance, students, or professionals looking to gain experience or supplement their income.

How does a part time data engineering role typically balance project responsibilities with limited working hours?

In a part-time data engineering position, tasks are often scoped to fit within your available hours, focusing on specific projects or maintenance work rather than broader, ongoing initiatives. You’ll likely collaborate closely with full-time engineers to ensure hand-offs are smooth and that you’re aligned on priorities. Clear communication and proactive time management are essential, as you may need to coordinate across teams or adjust your workload to meet deadlines. Many organizations also provide flexible scheduling and clear documentation practices to help part-time team members stay integrated and productive.

What are the key skills and qualifications needed to thrive as a part time data engineer, and why are they important?

To thrive as a Part Time Data Engineer, you need proficiency in programming languages like Python or SQL, knowledge of database management, and a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, and platforms such as AWS, Google Cloud, or Apache Spark is typically required. Strong problem-solving abilities, attention to detail, and effective communication help individuals excel in this flexible role. These skills ensure accurate data pipelines, efficient data processing, and successful collaboration with cross-functional teams, even in a part-time capacity.

What is the difference between Part Time Data Engineering vs Part Time Data Analysis?

AspectPart Time Data EngineeringPart Time Data Analysis
Required CredentialsTypically requires knowledge of SQL, Python, ETL tools, and cloud platformsRequires skills in SQL, Excel, data visualization tools, and basic statistical knowledge
Work EnvironmentOften involves building data pipelines, managing databases, and working with data infrastructureFocuses on interpreting data, creating reports, and providing insights
Employer & Industry UsageUsed in tech companies, finance, and e-commerce for data infrastructure rolesCommon in marketing, consulting, and business intelligence roles across industries

Part Time Data Engineering involves developing and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. In contrast, Part Time Data Analysis centers on interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but differ in technical complexity and focus.

Are part time data engineers still in demand?

Part-time data engineers are still in demand as organizations seek flexible staffing for data pipeline development, maintenance, and analytics projects. Skills in SQL, Python, cloud platforms, and data tools remain valuable, and remote or flexible roles are increasingly available in the industry.

Can I work remotely as a part time data engineer?

Part time data engineering roles can often be performed remotely, especially when the work involves tasks like data pipeline development, database management, and cloud-based tools. Employers may require familiarity with tools such as SQL, Python, and cloud platforms, and remote work arrangements depend on the company's policies and project needs.

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

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

What are popular job titles related to Part Time Data Engineering jobs in Michigan?

For Part Time Data Engineering jobs in Michigan, the most frequently searched job titles are:

Infographic showing various Part Time Data Engineering job openings in Michigan as of August 2026, with employment types broken down into 100% Part Time. Highlights an 80% In-person, and 20% Remote job distribution.

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Learning Care Group rating

5.2

Company rating: 5.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

12th of 19 rated daycare providers


Job description

Join a strong community where all we do is care-for the children and families we serve every day, as well as for our dedicated team members. Our people are our best asset. We listen and we know what you're looking for: You want benefits.

We support you with a minimum 50% childcare discount, immediate access to benefits, innovative health programs, 401(k) company match, and much more. You want balance. We offer flexible schedules that work for you, no nights or weekends, the ability to bring your children to work with you, and paid time off.

You want opportunity. We invest in your future with ongoing training, tuition reimbursement, credential assistance, and our unique Master Teacher Program. You want recognition.

We provide a positive, fun workplace where employees are appreciated. The Marketing Data Domain Lead owns Learning Care's Marketing Data Domain end-to-end, serving as the primary owner of marketing data platforms, integrations, governance, and data products across Microsoft Fabric, Google BigQuery, and related marketing technologies. This role combines marketing domain knowledge with data engineering expertise to ensure marketing data is trusted, scalable, and accessible for reporting, customer acquisition measurement, enrollment attribution, and customer journey analytics.

The role partners closely with Marketing, Analytics, Business Intelligence, Data Platform, Data Science, and external vendors to deliver high-quality data solutions that support business objectives. This is a senior individual contributor role with broad ownership and influence across the marketing data ecosystem. Key Responsibilities: Own Learning Care's Marketing Data Domain end-to-end, serving as the primary partner for Marketing stakeholders and aligning business priorities, governance standards, and technology capabilities.

Design, build, and support marketing data pipelines, integrations, and data models across Microsoft Fabric, Google BigQuery, and related platforms. Own the operational health and continuous improvement of Learning Care's marketing data platforms, integrations, and data products. Own marketing data products, certified datasets, and semantic models that support trusted analytics and self-service reporting for Marketing and BI teams.

Establish and maintain governance, stewardship, metadata, and lineage standards for marketing data, and implement data quality monitoring, validation, and remediation processes. Lead resolution of recurring data quality and integration issues and support enterprise data governance initiatives. Partner across business, technical, and vendor teams to onboard new data sources, translate business requirements into scalable technical capabilities, and promote adoption of governed data products and self-service analytics.

Other duties as assigned. Minimum Qualifications: A bachelor's degree in data engineering, computer science, information systems, business analytics, or a related field, or equivalent experience, is required. 7+ years of experience in data engineering, analytics engineering, business intelligence, marketing analytics, or a related discipline is required, including marketing domain experience supporting customer acquisition, lead generation, enrollment attribution, reporting, or customer journey analytics.

No specific license or certification is required for this role. Preferred Qualifications: Experience with Microsoft Purview or similar data governance and cataloging tools is preferred. Experience with Azure DevOps, CI/CD, or modern data delivery practices is preferred.

Experience with data observability, monitoring, and operational support frameworks is preferred. Relevant Microsoft, Google Cloud, or other data platform certifications are preferred. Knowledge, Skills and Abilities: Hands-on expertise with Google BigQuery, Microsoft Fabric, SQL, data modeling, and enterprise data pipelines.

Experience developing and managing semantic models, certified datasets, and self-service analytics solutions. Strong stakeholder partnership, communication, and influencing skills across business, technical, and vendor teams. Excellent customer service skills with both internal and external customers.

Capable of working with frequent interruptions and changing priorities. Effective communication skills, written, verbal, and interpersonal. Proficient time management, organizational skills, and ability to meet established deadlines.

Compensation and Benefits: Compensation based on position, education and experience. Bi-weekly paid. Base salary range: $118-130k.

This position is eligible for our Support Central bonus program which is based on annual achievement of company performance. Health and Wellness Benefits: Employees are eligible for a variety of health and welfare benefits based on their Full-time or Part-time status on their date of hire, which include medical, dental, vision, healthcare & dependent care flexible spending accounts (FSAs), life insurance, disability, accident, critical illness, hospital indemnity, pre-paid legal, pet insurance and identity theft protection. Employees are eligible to participate in our 401(k) retirement plan after 30 days of employment.

Participating employees are also eligible to receive a company provided match on their elective deferrals once they reach 1 year of employment with the company. Employee perks/discounts: Education assistance including tuition reimbursement Childcare discount available to all employees Corporate partner Discounts This position is eligible for paid time off. All Corporate employees are enrolled in our Flexible Paid Time Off (PTO) plan.

This plan allows for flexibility and discretion between employees and managers in taking time off - with no set accrual for vacation or sick time. Employees can use Flexible PTO for any reason and is compliant with the Colorado Healthy Families Work Act. Applications accepted through 8/31/2026.

Learning Care is an equal opportunity employer and will not discriminate against an employee or applicant based on race, color, religion, national origin or ancestry, sex, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status or any other protected status under federal, state, or local law. Apply


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About Learning Care Group

Sourced by ZipRecruiter

Learning Care Group, Inc. is the second-largest for-profit child care provider in North America and a leader in early education. Our programs are designed for children aged 6 weeks to 12 years. Across our eight unique brands, we're committed to creating state-of-the-art facilities with the latest technology and expert-driven curricula created by our own Education team.

Industry

Education

Company size

10,000+ Employees

Headquarters location

Novi, MI, US

Year founded

1967

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