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Weekend Data Engineering Jobs in Michigan (NOW HIRING)

Stefanini Group

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Develop comprehensive documentation for data engineering processes, promoting knowledge sharing, facilitating collaboration, and ensuring long-term system maintainability. Skills Required * GCP Cloud ...

Stefanini

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Develop comprehensive documentation for data engineering processes, promoting knowledge sharing, facilitating collaboration, and ensuring long-term system maintainability. Skills RequiredGoogle Cloud ...

Stefanini Group

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Develop comprehensive documentation for data engineering processes, promoting knowledge sharing, facilitating collaboration, and ensuring long-term system maintainability. Skills Required * GCP Cloud ...

Ford Motor Company

Data Engineer

Dearborn, MI

$105K - $127K/yr

Data engineering, data product development and software product launches * At least three of the following languages: Java, Python, Spark, Scala, SQL * 3 years of cloud data/software engineering ...

Corning

$104K - $125K/yr

What do you need to have? - Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or another related technical discipline. - At least 1 year of experience in data engineering ...

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

This role partners closely with data science, analytics, and engineering teams to deliver reliable, high-performance data solutions in a modern cloud lakehouse environment. Summary: The Senior Data ...

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

This role partners closely with data science, analytics, and engineering teams to deliver reliable, high-performance data solutions in a modern cloud lakehouse environment. Summary: The Senior Data ...

Whisker

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

This role partners closely with data science, analytics, and engineering teams to deliver reliable, high-performance data solutions in a modern cloud lakehouse environment. Summary: The Senior Data ...

Tech Tammina LLC

Data Engineer

Okemos, MI · On-site

$103K - $124K/yr

... Data Engineering components. * Participates in creating data pipelines and ETL workflows to ensure that design and enterprise programming standards and guidelines are followed.  Assist with ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

You will work at the intersection of software engineering and data science, ensuring that our data architecture is scalable, reliable, and follows industry best practices. Priorities can change in a ...

Saransh Inc

GCP Data Engineer with Python

Dearborn, MI · On-site

$105K - $126K/yr

Strong proficiency in Python for data engineering and automation. * Experience with RDBMS technologies such as DB2 and Teradata . * Exposure to Big Data ecosystems and distributed data processing.

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Uphold rigorous software engineering standards, including comprehensive unit/integration testing ... Advanced knowledge of SQL for data transformation, analysis, and performance tuning. • DevOps & ...

IntraEdge

AI Data Engineer

Detroit, MI

$113K - $136K/yr

This role requires strong expertise in data engineering best practices and a deep understanding of the unique data needs of AI models. Key responsibilities * Build AI-ready data pipelines: Design ...

FastTek

Data Engineer

Dearborn, MI

$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 ...

Harman International

Data - Platform Manager

Novi, MI · On-site

Engineer audio systems and integrated technology platforms that augment the driving experience ... This role is responsible for enabling data product teams, analysts, engineers, and business users ...

New

HARMAN International

Data - Platform Manager

Novi, MI · On-site

Engineer audio systems and integrated technology platforms that augment the driving experience ... This role is responsible for enabling data product teams, analysts, engineers, and business users ...

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 ...

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 ...

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Showing results 41-60

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

Senior Data Engineer - Agentic AI, Automation, and Data Platforms

General Motors

Warren, MI • On-site

$107K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 306 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,288 frontline employees who took The Breakroom Quiz

Job description

Job Description
This role is categorized as hybrid. This means the successful candidate is expected to report to GM Warren Global Technical Center or Austin Technical Center three times per week, at minimum [or other frequency dictated by the business if more than 3 days].
The Role
This role is for a senior individual contributor in Data Engineering who can independently lead complex technical work, apply strong professional judgment, improve processes and delivery patterns, and move quickly from ideas to production solutions. At this level, the individual is expected to operate with minimal guidance, resolve non-standard problems using advanced analytical thinking, take ownership of outcomes, and serve as a technical resource for less experienced team members.
The role is anchored in data engineering with a strong focus on automation and Agentic AI. The engineer will build reliable data platforms and use technologies such as Cursor, large language models, Vector Search, Databricks agents, RAG, and similar tools to accelerate engineering delivery and enable intelligent data experiences. The engineer will partner with data scientists and ML engineers as needed to support experimentation and productionize AI solutions, while data engineering and platform delivery remain the primary focus.
What You'll Do
  • Design, build, and productionize reliable, scalable, and secure data pipelines and data products in Azure Databricks that support AI, analytics, and operational use cases.
  • Transform raw data from multiple source systems into trusted, well-structured data products for analytics, model development, LLM applications, Vector Search, and AI agents.
  • Build automation and reusable engineering workflows using tools such as Cursor, Claude, LLMs, Databricks agents, and related technologies to improve development speed, testing, documentation, troubleshooting, and operational efficiency.
  • Design and enable governed data, retrieval, and semantic patterns for Vector Search, RAG, Databricks agents, Genie, Glean, and other AI-enabled applications.
  • Build and optimize batch and streaming pipelines, including feature-ready, training, inference, and model-scoring data workflows, in partnership with data science teams when needed.
  • Establish practical engineering patterns for CI/CD, automated testing, data quality, lineage, observability, security, cost management, and production support.
  • Solve complex data engineering, performance, reliability, and data-quality problems with strong ownership, urgency, and sound technical judgment.
  • Contribute to technical direction, reusable standards, and delivery practices across teams; influence adoption through working examples and measurable outcomes.
  • Mentor team members through technical guidance, design reviews, knowledge sharing, and strong engineering practices.

Your Skills & Abilities (Required Qualifications)
  • Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or related field, or equivalent experience.
  • 5+ years of relevant professional experience, or equivalent knowledge and experience.
  • Strong experience in data engineering, including pipeline development, data modeling, data integration, distributed processing, and production support for enterprise data platforms.
  • Experience using Python or Scala, SQL, Apache Spark, and modern cloud data platforms; Azure is preferred, and AWS or GCP experience is also considered.
  • Experience designing, building, and optimizing scalable batch and streaming data pipelines using Databricks, Delta Lake, and medallion or comparable lakehouse architecture.
  • Hands-on experience using AI-assisted development or automation tools such as Cursor, Claude, GitHub Copilot, or comparable platforms to improve engineering productivity and delivery.
  • Hands-on experience with LLMs, Vector Search, RAG, Databricks agents, or comparable technologies used to build or enable production AI solutions.
  • Demonstrated ability to work independently, move quickly through ambiguity, influence technical decisions, and deliver measurable improvements in quality, reliability, efficiency, or business value.

What Can Give You a Competitive Advantage (Preferred Qualifications)
  • Experience building or operating Databricks agents, Vector Search solutions, LLM applications, RAG workflows, Genie spaces, Glean integrations, or similar Agentic AI platforms.
  • Experience applying evaluation, monitoring, access controls, guardrails, and governance to AI or agent-enabled solutions.
  • Experience partnering with data scientists or ML engineers on feature engineering, experimentation, model development, model serving, or productionization of AI solutions.
  • Experience with infrastructure as code, APIs, data contracts, platform automation, or reusable engineering libraries and templates.
  • Experience in manufacturing, supply chain, automotive, planning, or another complex operational domain.
  • Demonstrated mentoring, technical leadership, and process improvement impact consistent with a Level 7 senior individual contributor role.
  • Master's degree in Computer Science, Software Engineering, Data Engineering, or related field.

This job may be eligible for relocation benefits.
Compensation:
  • The expected base compensation for this role is: $138,700 - $173,750. Actual base compensation within the identified range will vary based on factors relevant to the position.
  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
  • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
#LI-CC1
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Working at General Motors

What General Motors employees say

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Benefits

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Get the full story on Breakroom

General Motors logo

About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908

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