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Weekend Data Engineering Jobs in Michigan (NOW HIRING)

Stellantis

Data Engineer - Supply Chain

Auburn Hills, MI · On-site

$108K - $130K/yr

This role focuses on production-ready data engineering-ensuring data is reliable, governed, scalable, and fit for decisioning. The Data Engineer partners closely with Data Science, AI Engineering ...

Epitec

Data Engineer

Southfield, MI · On-site

$114K/yr

Masters - Data Science, Data Engineering, Computer Science, Computer Engineering, Electrical Engineering, Electrical and Computer Engineering, or in a related field of study (will accept equivalent ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Bachelor's degree in computer science, engineering, or related field * A minimum of 3 years of ... Knowledge of data pipelines, ETL, and analytics workflows * Experience with monitoring and ...

Deloitte

Sr Databricks Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology platforms, modernize data environments, and unlock value through innovation. As a Senior Consultant ...

Horizontal Talent

Data Engineer

Sterling Heights, MI · On-site +1

$106K - $128K/yr

Over six years of experience in data engineering and infrastructure development. * Proficiency in AWS services, particularly Redshift, and data tools like Power BI and Dataiku. * Strong analytical ...

MM International

Data Engineer with DevOps Skill

Dearborn, MI · On-site

$105K - $126K/yr

Core DataOps & Engineering Skills: · Proven experience as a DataOps Engineer, Data Engineer, or similar role, with a strong focus on operationalizing data pipelines. · Expertise in designing ...

FastTek

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Business Intelligence * Front End (Software Engineering) * Software Development * Big Data * Data/Analytics * ETL * Application Development * Google Cloud Platform Experience Required: * Engineer 3 ...

FastTek

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks * Ensure optimum performance and identify improvement ...

Very Stable, U.S. based manufacturing company with customers in various industries.

Be Seen First

Data Engineer IoT PLC Machinery Industrial Data pushes and pulls, new

Troy, MI · On-site

$110K - $145K/yr

Partner with Machine R&D Engineering to standardize output schemas and implement Model-Based ... Data Integrity & MSA Automation: Program automated scripts to process Gauge R&R data and generate ...

Pwc

Data Engineer - Senior Manager

Detroit, MI

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Pwc

Data Engineer - Senior Manager

Grand Rapids, MI

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Saanvi Technologies

Data Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

... years Data Engineering work experience Education Required: Bachelor's Degree Education Preferred: Additional Safety Training/Licensing/Personal Protection Requirements: Additional Information

Megan soft Inc

GCP Data Engineer (W2 Position)

Dearborn, MI · On-site

$105K - $126K/yr

Dearborn, MI (Hybrid) Duration: 12+ Months Experience: 8+ Years Experience Required: * 8 years of professional experience in Data engineering, data product development and software product launches

Megan soft Inc

Data Engineer (W2 Position)

Dearborn, MI · On-site

CA$50 - CA$55/hr

Role: Data Engineer (W2 Position) Location: Dearborn, MI - Hybrid (4 days in office) Duration: 12 ... System Design, Systems Engineering, Testing, SaaS, Workforce Management, Software Documentation ...

Western Michigan University

IT Data Engineer

Kalamazoo, MI · On-site

$65K - $76K/yr

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 ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$113K - $135K/yr

... engineering, with exposure to modern data platforms like Databricks, to enable reliable application delivery and data-driven platforms. This role requires strong ownership, problem-solving skills ...

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Weekend Data Engineering information

What engineers make $300,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $300,000 or more annually. High compensation often reflects leadership roles, specialized knowledge, and working in competitive industries or organizations with high data demands.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires expertise in cloud platforms, distributed systems, and leadership roles.

Do data engineers work on weekends?

Data engineers typically work regular business hours during weekdays, but they may work on weekends if project deadlines, system maintenance, or incident responses require it. Flexibility and availability during off-hours can be important, especially in environments with 24/7 data operations or real-time data processing needs.

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.

What jobs make $1,000,000 a year?

High-level executive roles such as CEOs, CFOs, and other C-suite positions can earn over $1 million annually, often including bonuses and stock options. Certain specialized professions like top-tier investment bankers, hedge fund managers, and successful entrepreneurs also reach this income level, typically requiring extensive experience, advanced skills, and significant responsibility.
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 Engineer - Supply Chain

Data Engineer - Supply Chain

Stellantis

Auburn Hills, MI • On-site

$108K - $130K/yr

Full-time

Posted 25 days ago

Stellantis rating

7.4

Company rating: 7.4 out of 10

Based on 126 frontline employees who took The Breakroom Quiz

17th of 44 rated automakers

Job description

We are building an AI-enabled supply chain that senses, predicts, prescribes, and acts. The Data Engineer plays a critical role in enabling this vision by designing, building, and operating enterprise-grade data pipelines and analytical data products that power advanced analytics, optimization, automation, and agentic AI solutions across the Supply Chain organization.
This role focuses on production-ready data engineering-ensuring data is reliable, governed, scalable, and fit for decisioning. The Data Engineer partners closely with Data Science, AI Engineering, Automation, and Platform teams to deliver high-quality data assets embedded into operational workflows.
Responsibilities include but not limited to:
  • Design, build, and maintain scalable batch and near-real-time data pipelines supporting supply chain analytics and AI use cases
  • Ingest, transform, and curate data from enterprise and operational systems (ERP, planning, logistics, manufacturing, execution platforms)
  • Develop and maintain analytical data models and feature-ready datasets to support data science, optimization, and agentic AI workflows
  • Implement data quality validation, monitoring, and alerting to ensure trust and reliability of downstream analytics
  • Optimize data pipelines and storage for performance, cost, and scalability
  • Partner with data scientists and AI engineers to support model training, scoring, and deployment needs
  • Establish and follow best practices for data modeling, naming conventions, version control, and documentation
  • Ensure data solutions comply with enterprise standards for security, privacy, lineage, and governance
  • Support production operations, including incident investigation and root cause analysis related to data issues

Basic Qualifications:
  • Bachelor's in Computer Science, Information Systems, or a related field required
  • 8+ years of professional experience in data engineering, analytics engineering, or data platform development
  • Strong proficiency in Python and SQL for data transformation and pipeline development
  • Experience designing and maintaining production-grade data pipelines and analytical data models
  • Hands-on experience with modern data platforms such as Databricks, Spark, Snowflake, or equivalent
  • Solid understanding of data quality, validation, and monitoring concepts
  • Experience working with structured and semi-structured data at scale
  • Proven ability to own production data pipelines end-to-end (design → deployment → monitoring → incident response)
  • Demonstrated ability to operate independently, drive technical decisions, and deliver solutions in ambiguous environments with minimal oversight
  • Ability to collaborate effectively with analytics, AI, and software engineering teams

Preferred Qualifications:
  • Master's Degree
  • Experience supporting machine learning or advanced analytics pipelines, including feature engineering and model scoring data
  • Experience with orchestration tools, CI/CD, and version control for data pipelines
  • Familiarity with streaming or event-driven data architectures
  • Experience working with supply chain, operations, manufacturing, or ERP data
  • Knowledge of data governance, metadata management, and lineage tools
  • Experience supporting BI or downstream analytics tools (e.g., Power BI) and enterprise data platforms (e.g. Palantir Foundry)

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