1

Python Data Jobs in Michigan (NOW HIRING)

Platform Engineer

Dearborn, MI · On-site

$140.63K - $184.14K/yr

... DataFlow for data pipeline orchestration, including experience with Python DAGs, Apache Beam, workflow scheduling, and Shell script integration for automated ETL/ELT processing and data ...

Platform Engineer

Dearborn, MI

$140.63K - $184.14K/yr

... DataFlow for data pipeline orchestration, including experience with Python DAGs, Apache Beam, workflow scheduling, and Shell script integration for automated ETL/ELT processing and data ...

Developing and maintaining Python-based optimization models to support demand elasticity ... Performing data reconciliation, fuzzy matching, and standardization across inconsistent source ...

DevOps Engineer

Dearborn, MI

$48.50 - $66.50/hr

... Python, Data Analysis, Data Collection, React, JavaScript Experience Required7+ years of experience in relevant field.Setup, maintenance and update of React OPS data collection platform. Implementing ...

Be Seen First

VS Code, Core Python, Python for data analysis, Python for AI Education Required: Bachelor's Degree Education Preferred: Bachelor's Degree Additional Information : ***HYBRID (4 days per week in the ...

Azure Data Engineer

Grand Rapids, MI · On-site

$106.30K - $127.70K/yr

Hands-on SQL/Python/Scala skills and experience working with complex data flows or digital marketing/ecommerce data environments. Overview / Summary We are seeking an experienced Azure Data Engineer ...

New

DevOps Senior Specialist

Dearborn, MI

$119.40K - $153.40K/yr

Data Collection - 5+ Years * Python - 3+ Years * React - 3+ Years * JavaScript - 3+ Years Experience Required: * Senior Specialist Exp: 7+ experience in relevant field. Experience Preferred: * js ...

Data Engineer

Grand Rapids, MI · On-site

$110K - $132.10K/yr

Hands-on SQL/Python/Scala skills and experience working with complex data flows or digital marketing/ecommerce data environments. Overview / Summary We are seeking an experienced Azure Data Engineer ...

Data Engineer

Grand Rapids, MI

$110K - $132.10K/yr

Hands-on SQL/Python/Scala skills and experience working with complex data flows or digital marketing/ecommerce data environments. Overview / Summary We are seeking an experienced Azure Data Engineer ...

To implement quantitative and predictive models, data science experiments using literate programming techniques such as Python Jupyter Notebooks, develop appropriate visualizations of data, curate ...

To implement quantitative and predictive models, data science experiments using literate programming techniques such as Python Jupyter Notebooks, develop appropriate visualizations of data, curate ...

Data Engineer

Dearborn, MI

$105.20K - $126.30K/yr

Leverage cutting-edge tools and technologies, including Python, SQL, and DBT/Dataform, to build robust and efficient data pipelines. * End-to-End Integration Expert: Utilize your full-stack skills to ...

Data Engineer

Dearborn, MI

$105.20K - $126.30K/yr

Leverage cutting-edge tools and technologies, including Python, SQL, and DBT/Dataform, to build robust and efficient data pipelines. * End-to-End Integration Expert: Utilize your full-stack skills to ...

next page

Showing results 1-20

Python Data information

See Michigan salary details

$11

$51

$75

How much do python data jobs pay per hour?

As of May 30, 2026, the average hourly pay for python data in Michigan is $51.09, according to ZipRecruiter salary data. Most workers in this role earn between $42.12 and $58.03 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python Data professional, and why are they important?

To thrive as a Python Data professional, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with data analysis or data science, typically supported by a relevant degree. Familiarity with technical tools such as pandas, NumPy, SQL, Jupyter Notebooks, and often cloud platforms or machine learning frameworks is important, and certifications like Microsoft or Google Data certifications can be advantageous. Strong analytical thinking, attention to detail, and effective communication help you extract insights from data and collaborate with stakeholders. These skills and qualities are essential to efficiently process, analyze, and interpret data, driving informed business decisions.

What are some common challenges faced by Python Data professionals when working with large datasets?

Python Data professionals often encounter challenges such as optimizing code to handle large volumes of data efficiently and managing memory usage to prevent slowdowns or crashes. Working with big datasets may require leveraging tools like pandas, NumPy, or Dask, and sometimes integrating with distributed computing systems such as Apache Spark. Additionally, ensuring data quality and managing data pipelines for consistent and accurate results can be demanding. Collaborating closely with data engineers, analysts, and other stakeholders is common to ensure smooth data flow and analysis.

What is a Python Data professional?

A Python Data professional is someone who uses the Python programming language to analyze, process, and interpret data. They work with large datasets, perform data cleaning and transformation, and apply statistical or machine learning techniques to extract insights. These professionals often work in roles such as data analyst, data scientist, or data engineer, and use Python libraries like Pandas, NumPy, and scikit-learn to accomplish their tasks.

What is the difference between Python Data vs Data Analyst?

AspectPython DataData Analyst
Required SkillsPython programming, data manipulation, scriptingExcel, SQL, data visualization
CertificationsPython certifications, data science coursesData analysis certifications, Excel certifications
Work EnvironmentData science teams, programming-heavy rolesBusiness intelligence, reporting teams
Industry UsageTech, finance, healthcareRetail, marketing, finance

Python Data roles focus on programming, data manipulation, and building data pipelines using Python, while Data Analysts primarily analyze data using tools like Excel and SQL to generate reports and insights. Both roles often collaborate but differ in technical depth and tools used.

What job categories do people searching Python Data jobs in Michigan look for? The top searched job categories for Python Data jobs in Michigan are:
Platform Engineer

Platform Engineer

Ford Motor Company

Dearborn, MI • On-site

$140.63K - $184.14K/yr

Full-time

Medical, Dental, Life, PTO

Posted 16 days ago


Job description

Job Description
At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation.
Enterprise Technology plays a critical part in shaping the future of mobility. If you're looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people's lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.
Responsibilities
What you'll be able to do:
Platform Engineer - positions offered by Ford Motor Credit Company LLC (Dearborn, Michigan). Note, this is a hybrid position whereby the employee will work both from home and from the aforementioned worksite. Hence, the employee must live within a reasonable commuting distance from the aforementioned worksite. Analyze and manipulate large datasets supporting the enterprise by activating data assets to support Enabling Platforms and Analytics in the Google Cloud Platform (GCP). Design the transformation and modernization on GCP, as well as landing data from source applications to GCP. Design right solutions with appropriate combination of GCP and 3rd party technologies for deploying on Google Cloud Platform. Work in collaborative environment including pairing and mobbing with other cross-functional engineers. Work on a small agile team to deliver working, tested software. Work effectively with fellow data engineers, product owners, data champions and other technical experts. Develop exceptional Analytics data products using streaming, batch ingestion patterns in the Google Cloud Platform with solid Datawarehouse principles. Design and deploy a pipeline with automated data lineage. Identify, develop, evaluate and summarize Proof of Concepts to prove solutions. Test and compare competing solutions and report out a point of view on the best solution. Integration between GCP Data Catalog and Informatica EDC. Design and build production data engineering solutions to deliver pipeline patterns using Google Cloud Platform (GCP) services.
Qualifications
You'll have...
Bachelor's degree or foreign equivalent in Computer Science, Information Technology or a related field and 5 years of progressive, post-baccalaureate experience in the job offered or a related occupation. 2 years of experience with each of the following skills is required: 1. Utilizing Google Cloud Platform (GCP) services, including BigQuery, DataFlow, Pub/Sub, Compute Engine, Cloud Storage, Cloud SQL, and Cloud Functions, for designing and implementing enterprise-scale cloud infrastructure using Python, Terraform, or YAML configuration files. 2. Utilizing Terraform for Infrastructure as Code (IaC), including experience with HCL syntax, state management, modules, and automated provisioning of GCP resources using Shell scripts, Bash automation, or YAML configuration templates for consistent deployments. 3. Utilizing Tekton pipelines and Cloud Build for CI/CD automation, including experience with container image builds, Docker, Kubernetes, YAML pipeline definitions, Python automation scripts, and integration with Git repositories for continuous integration workflows. 4. Utilizing Cloud Scheduler for automated resource management, including experience with cron expressions, REST APIs, Python scheduling scripts, and integration with Cloud Functions, Pub/Sub, and database instances for cost optimization and operational automation. 5. Utilizing Cloud Composer (Apache Airflow) and DataFlow for data pipeline orchestration, including experience with Python DAGs, Apache Beam, workflow scheduling, and Shell script integration for automated ETL/ELT processing and data transformation workflows. 6. Utilizing GCP Identity and Access Management (IAM) for security implementation, including experience with role-based access control, service accounts, Terraform IAM configurations, Python automation scripts, and JSON policy definitions for enterprise security compliance. 7. Utilizing BigQuery, DataProc, and BigTable for data analytics platforms, including experience with SQL queries, Python data processing scripts, Apache Spark, Hadoop clusters, and automated data ingestion using Shell scripts and YAML configurations. 8. Utilizing data governance and compliance tools, including GCP Data Catalog and Informatica EDC, for implementing automated data lineage tracking using Python scripts, metadata management, Terraform resource provisioning, and regulatory compliance frameworks with YAML configuration management.
We are offering a salary of $140,629.00 - $184,135.20/yr.
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Credit Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all the above? No matter what you choose, we offer a work life that works for you, including:
• Immediate medical, dental, and prescription drug coverage
• Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Vehicle discount program for employees and family members, and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year's Day
• Paid time off and the option to purchase additional vacation time.
For a detailed look at our benefits, click here:
https://fordcareers.co/GSR-HTHD
Candidates for positions with Ford Motor Credit Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
#LI-DNI
#DNP

Ford logo

About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982