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Python Data Jobs in Michigan (NOW HIRING)

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

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Metrology Data Engineer, CNC or Similar machining-tooling systems Data

Troy, MI · On-site

$110K - $145K/yr

Python-Driven Data Analytics: Leverage Python data libraries (pandas, NumPy, SciPy) to clean raw spatial coordinates, parse geometric output files, handle missing/anomalous measurements, and compute ...

Corporate Services

Epidemiologist I

Detroit, MI · On-site

SAS, R, Python, Data visualization, Data curation/transformation, Spatial epidemiologic analysis, Geocoding and GIS mapping, epidemiological research-based computational modeling and simulation ...

Henry Ford Health System

Epidemiologist I

Detroit, MI · On-site

SAS, R, Python, Data visualization, Data curation/transformation, Spatial epidemiologic analysis, Geocoding and GIS mapping, epidemiological research-based computational modeling and simulation ...

Saransh Inc

GCP Data Engineer with Python

Dearborn, MI · On-site

$105K - $126K/yr

Role: GCP Data Engineer with Python Location: Dearborn, MI (4 days a week onsite) Job Type: Contract Experience: Overall 8 to 12 years Job Summary: * The Data Engineer will be responsible for ...

Stefanini

Data Product Manager

Dearborn, MI

Familiarity with SQL, Python, data visualization tools, and modern data architectures. Experience with data governance, master data management, and data catalog solutions. Experience leading ...

Varsity Tutors

Python Tutor

Ann Arbor, MI · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Varsity Tutors

Python Tutor

Detroit, MI · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Varsity Tutors

Python Tutor

Kalamazoo, MI · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

FastTek

Data Architect Specialist

Dearborn, MI

$58.50 - $75.25/hr

Familiarity with SQL, Python, data visualization tools, and modern data architectures. * Experience with data governance, master data management, and data catalog solutions. * Experience leading ...

HTC Global Services

Data Product Manager

Dearborn, MI · On-site

Familiarity with SQL, Python, data visualization tools, and modern data architectures. * Experience with data governance, master data management, and data catalog solutions. * Experience leading ...

Saanvi Technologies

Senior Data Product Manager

Dearborn, MI · On-site

$116K - $153K/yr

Familiarity with SQL, Python, data visualization tools, and modern data architectures. * Experience with data governance, master data management, and data catalog solutions. * Experience leading ...

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All JobsPython Data JobsPython Data Jobs in Michigan

Python Data information

See Michigan salary details

$11

$51

$75

How much do python data jobs pay per hour?

As of Jun 19, 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 is the salary for Python data analytics?

The salary for Python data analysts typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals skilled in data manipulation, visualization, and tools like Pandas and SQL tend to earn higher salaries, especially with certifications or advanced degrees.

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 type of jobs can I get with Python?

Python is used in a variety of roles including software developer, data analyst, data scientist, machine learning engineer, and automation engineer. These jobs often require knowledge of libraries like Pandas, NumPy, and frameworks such as TensorFlow or Django, and may involve working in environments like cloud platforms or data centers.

What jobs can I do with just Python?

With Python skills, you can pursue roles such as Python developer, data analyst, automation engineer, or backend programmer. These jobs often require knowledge of libraries like pandas, NumPy, or frameworks like Django and Flask, and may involve tasks like scripting, data processing, or web development.

Is Python a high paying job?

Python data roles, such as Python developers or data analysts, tend to offer competitive salaries due to the high demand for programming and data skills. Salaries vary based on experience, location, and industry, but Python-related positions generally pay above average compared to many other tech roles.

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 popular job titles related to Python Data jobs in Michigan? For Python Data jobs in Michigan, the most frequently searched job titles are:
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:
Python Data jobs near you

Metrology Data Engineer, CNC or Similar machining-tooling systems Data

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

Troy, MI • On-site

$110K - $145K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Be Seen First

After you apply to this job, you can share why you’re interested to jump to the top of the candidate list.

Job description

We are seeking a Senior Metrology Data Engineer to lead the data access and analysis of the metrics surrounding raw vs. end materials after tooling. In this role, you will bridge the gap between high-precision dimensional inspection hardware (CMMs, 3D laser scanners) and data.

You will not just extract dimensional data—you will design, build, and optimize automated ETL pipelines to ingest, clean, and model spatial and geometric datasets. By combining a deep understanding of GD&T (Geometric Dimensioning and Tolerancing) by using Python or other modern data tools, you will transform raw coordinate datasets into real-time, factory-wide Statistical Process Control (SPC) insights and predictive quality analytics.

Core Duties & Responsibilities

  • Build & Maintain Metrology ETL Pipelines: Design and deploy automated data extraction, transformation, and loading (ETL) pipelines to ingest raw, unstructured, and semi-structured outputs (DMO, CSV, XML, JSON) from CMMs and 3D scanners into centralized databases or data lakes.

  • Python-Driven Data Analytics: Leverage Python data libraries (pandas, NumPy, SciPy) to clean raw spatial coordinates, parse geometric output files, handle missing/anomalous measurements, and compute complex custom statistical metrics.

  • Automate Statistical Process Control (SPC): Develop scripts to automatically monitor tolling wear and geometric drift by continuously calculating and updating process capability metrics ($C_p$ and $C_{pk}$) across high-volume production lines.

  • CMM/Scanner Data Integration: Partner with Machine R&D Engineering to standardize output schemas and implement Model-Based Definition (MBD) protocols, ensuring physical measurements perfectly align with digital 3D CAD dimensions via automated workflows.

  • Database Management & Data Modeling: Schema design and management of SQL/NoSQL databases dedicated to quality metrics. Optimize queries to handle high-frequency time-series measurement data coming from multiple production lines.

  • Data Integrity & MSA Automation: Program automated scripts to process Gauge R&R data and generate automated Measurement System Analysis (MSA) reports, ensuring the validity and repeatability of factory sensor data.

Desired Skills/Experience:

  • Education: Bachelor’s degree in Data Engineering, Computer Science, Mechanical/Manufacturing Engineering with a strong programming focus, or equivalent technical experience.

  • Experience: 5+ years of experience in data engineering or quality analytics, with a distinct focus on processing industrial, manufacturing, or spatial/dimensional data.

  • The Python Data Stack: Expert proficiency in Python, specifically for data manipulation and analysis (pandas, NumPy) and data engineering/ETL workflows. Experience with workflow orchestration tools (e.g., Airflow, Prefect) is a major plus.

  • SQL & Database Expertise: Strong proficiency in writing advanced SQL queries, designing database schemas, and managing relational databases (PostgreSQL, MS SQL Server) or time-series databases.

  • Metrology & GD&T Literacy: Solid fundamental understanding of Geometric Dimensioning and Tolerancing (GD&T) principles (ASME Y14.5) and familiarity with metrology software file architectures (e.g., PC-DMIS, Zeiss Calypso, PolyWorks).

  • CI/CD & Version Control: Experience using Git and version control best practices to maintain quality-data infrastructure and script deployments.

Very Competitive Compensation and Benefits (Relocation Assistance is offered), Call or Apply Today!

Company Description

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