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Weekend Data Engineering Jobs in Michigan (NOW HIRING)

FastTek

Data Engineering Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Data Engineering Engineer 3 #1062388 Position Description: Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure ...

General Motors

Data Engineering Manager

Warren, MI · On-site

$107K - $129K/yr

About the Role The Data Engineering Manager will lead a team of data engineers focused on building and operating Customer data platforms supporting OnStar, Connected Services, Customer, Marketing ...

Reply

Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

Reply

Manager, Data Engineering

Detroit, MI · On-site

$150 - $200/hr

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

Reply

Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

Reply

Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

Reply

Manager, Data Engineering

Detroit, MI

$160K - $190K/yr

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

Noblesoft Technologies

Data Engineer (Python)

Auburn Hills, MI · On-site

$108K - $130K/yr

Data Engineering, Python, PySpark, CI/CD, Airflow, Workflow Orchestration Overall Experience: 8+ years of relevant experience JOB REQUIREMENTS - The Senior Data Engineer & Technical Lead (SDET Lead ...

Strategic Employment

Data Engineer

Detroit, MI · Hybrid

$113K - $135K/yr

They're looking for someone to work closely with stakeholders on low code data engineering solutions. Technical experience with Foundry, Databricks, or Snowflake is preferred, but not required. A ...

Spruce Infotech

Principal Data Engineer

Detroit, MI · On-site

$72/hr

... engineering, data architecture, and enterprise data platforms. Key Skills * AWS - S3, Glue, Lambda, EMR, Redshift * Snowflake - Data Warehousing, Data Modeling, Performance Optimization * Python ...

Corning

$104K - $125K/yr

You will independently lead complex Data Engineering initiatives, collaborate with technical and business stakeholders, and provide guidance to other engineers through mentoring, code reviews, and ...

AaraTechnologies Inc

DATA ENGINEER

Wyoming, MI · On-site

$103K - $124K/yr

Maintain technical documentation Required Qualifications * 2-3 years of experience in data engineering or analytics * Strong SQL skills * Basic Python knowledge * Understanding of ETL concepts

Corning

$104K - $125K/yr

Are you ready to define the technical direction of a growing Data Engineering organization while remaining hands-on with modern cloud, manufacturing, and AI-enabled data solutions? Join Corning ...

AaraTechnologies Inc

DATA ENGINEER

Wyoming, MI · On-site

$103K - $124K/yr

Maintain technical documentation Required Qualifications * 2-3 years of experience in data engineering or analytics * Strong SQL skills * Basic Python knowledge * Understanding of ETL concepts

Kanak Elite Services Inc

Data Engineer

Okemos, MI · On-site

$103K - $124K/yr

The Data Engineering Team also does general extraction, transformation, and load (ETL) work, along with traditional Enterprise Data Warehousing (EDW) work. Responsibilities: * Participates in the ...

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Showing results 1-20

All JobsData Engineering JobsWeekend Data Engineering JobsWeekend Data Engineering Jobs in Michigan

Weekend Data Engineering information

What is the difference between Weekend Data Engineering vs Weekend Data Analysis?

AspectWeekend Data EngineeringWeekend Data Analysis
Required SkillsData pipeline development, SQL, Python, cloud platformsData interpretation, visualization, SQL, Excel
Work EnvironmentTechnical teams, data infrastructure projectsBusiness teams, reporting and insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis certifications (e.g., Microsoft, Tableau)

Weekend Data Engineering focuses on building and maintaining data pipelines and infrastructure, requiring technical skills and cloud platform knowledge. In contrast, Weekend Data Analysis emphasizes interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but serve different functions during weekend projects or part-time work.

Are weekend data engineers still in demand?

Weekend data engineers are still in demand as companies seek flexible staffing for data pipeline maintenance, troubleshooting, and project work outside regular hours. Skills in cloud platforms, SQL, and data tools like Apache Spark remain valuable, and many organizations require support during weekends to ensure continuous data operations.

Do weekend data engineers need to work on weekends?

Weekend data engineers typically work during regular business hours and do not usually need to work on weekends unless there are urgent data issues or scheduled maintenance. Some roles may require occasional weekend work for system updates or troubleshooting, but it is not a standard expectation for all positions. Flexibility depends on the company's policies and project deadlines.

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 cities in Michigan are hiring for Weekend Data Engineering jobs?

Cities in Michigan with the most Weekend Data Engineering job openings:

Weekend Data Engineering jobs near you

Data Engineering Manager

Grand Rapids, MI • On-site

Lake Michigan Credit Union
51 - 200 employees
Learn more about Lake Michigan Credit Unionexternal

$110K - $132K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 28 days ago

Key responsibilities

  • Lead, coach, and develop Senior Data Engineers, managing workload priorities, performance feedback, and delivery expectations.

  • Establish and maintain enterprise standards for data modeling, ETL/ELT development, orchestration, and data integration patterns.

  • Oversee the design, development, testing, deployment, and optimization of data pipelines, models, and integrations across various platforms.

Lake Michigan Credit Union rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

Job description

Primary Location: Grand Rapids
Employee Status: Full-Time
Workplace Type: Hybrid
Who we are:
At LMCU, you'll find more than just a job - discover a fulfilling career where your contributions truly matter. Join our talented team at Lake Michigan Credit Union and discover the difference an employer who puts people first can make in your career and life.
About this position:
The Manager, Data Engineering leads the Data Engineering function responsible for designing, building, maintaining, and optimizing enterprise data models, pipelines, and integrations that support business needs and enable self-service analytics across LMCU. This role manages Senior Data Engineer resources, establishes data engineering standards, oversees delivery and operational support, and ensures data solutions are scalable, reliable, secure, and aligned to business priorities.
What you'll do:
  • Lead, coach, and develop Senior Data Engineers, including managing workload priorities, sprint commitments, performance feedback, career development, hiring, and day-to-day delivery expectations.
  • Establish and maintain enterprise standards for data modeling, ETL/ELT development, orchestration, integration patterns, Microsoft Fabric/OneLake architecture, and reusable data products.
  • Oversee the design, development, testing, deployment, maintenance, and optimization of data pipelines, curated data models, integrations, and data migrations across core banking, digital, operational, and analytics platforms.
  • Ensure data pipelines and models are reliable, secure, performant, well-documented, and supportable through effective monitoring, data quality controls, lineage, and issue-resolution processes.
  • Partner with Business Intelligence, Data Governance, Application Development, Infrastructure, vendors, and business stakeholders to translate business needs into scalable technical solutions.
  • Enable trusted self-service analytics by delivering reliable, accessible, and well-governed data products that support reporting, analytics, and informed decision-making. Adhere to and champion our core values of curious minds, collaborative hearts, and continuous excellence.

What you'll bring:
  • 8+ years of progressive experience in data engineering, analytics engineering, data architecture, data warehousing, or data platform development, including experience leading technical resources, delivery workstreams, or project teams.
  • Bachelor's degree in computer science, information systems, information technology, data management, data analytics, engineering, or a related field; significant relevant experience may be considered in lieu of a degree.
  • Hands-on experience with Microsoft Fabric, OneLake, Data Factory, notebooks, lakehouse and warehouse workloads, SQL Server, and modern cloud data platforms.
  • Strong knowledge of ETL/ELT design and orchestration, dimensional modeling, star and snowflake schemas, Kimball/Inmon concepts, and medallion architecture.
  • Proficiency with SQL and Python, including data pipeline testing, observability, monitoring, and troubleshooting.
  • Experience with Azure DevOps/Git, CI/CD practices, and modern development and deployment processes.
  • Knowledge of data quality controls, metadata management, data lineage, governance, and documentation best practices.
  • Experience integrating core banking, digital banking, and other operational data sources into enterprise data platforms.
  • Experience working within Agile delivery environments, including ServiceNow or Jira intake, prioritization, and stakeholder communication.
  • Relevant certifications in Microsoft Fabric, Azure, cloud data platforms, data engineering, Agile/Scrum, leadership, or project management are preferred.
  • experience.
  • Ability to work effectively within established priorities, standards, and processes while demonstrating strong execution and follow-through.

Preferred Qualifications:
  • Experience partnering with or leading Data Science teams in the delivery of predictive analytics, machine learning, or AI-driven solutions.
  • Familiarity with the data science lifecycle, including model development, model deployment (MLOps), monitoring, and governance.
  • Experience building platforms, pipelines, and infrastructure that enable Data Scientists to develop, test, and operationalize models at scale.
  • Knowledge of modern AI, machine learning, and generative AI technologies and their integration into enterprise data platforms.
  • Demonstrated ability to bridge Data Engineering, Business Intelligence, and Data Science disciplines to deliver business outcomes.

What you'll get:
  • All Employees: weekly pay and retirement savings options.
  • Full-Time Employees: comprehensive health coverage including medical (with prescription), dental, vision, HSA match, paid parental leave, and tuition reimbursement.
  • To see a full list of our benefit offerings, check out this helpful guide!

Have additional questions about the role? Email the Talent Acquisition Team at: Careers@lmcu.org
If you lack access to the internet or require an accommodation in the application process, please send your resume via mail to P.O. BOX 2848, Grand Rapids, MI 49501-2848.
LMCU is an Equal Opportunity Employer

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