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Python Data Jobs in Michigan (NOW HIRING)

Technomics

Data Analyst

Troy, MI · On-site

Relevant experience includes Python, SQL, JavaScript/TypeScript, ETL/ELT, low-code development ... Develop, maintain, and improve data pipelines, transformations, analytical workflows, and user ...

Technomics, Inc.

Data Analyst

Troy, MI · On-site

Relevant experience includes Python, SQL, JavaScript/TypeScript, ETL/ELT, low-code development ... Develop, maintain, and improve data pipelines, transformations, analytical workflows, and user ...

Siemens

$18 - $50/hr

Experience with Python, data analytics, machine learning, or AI technologies. * Familiarity with digital engineering, PLM, or engineering data management concepts is a plus. * Strong communication ...

Siemens

$18 - $50/hr

Experience with Python, data analytics, machine learning, or AI technologies. * Familiarity with digital engineering, PLM, or engineering data management concepts is a plus. * Strong communication ...

Siemens

$18 - $50/hr

Experience with Python, data analytics, machine learning, or AI technologies. * Familiarity with digital engineering, PLM, or engineering data management concepts is a plus. * Strong communication ...

Damco Solutions

Data Engineer (with NIKE exp.)

Dearborn, MI · On-site

$105K - $126K/yr

The role involves working with tools such as Hadoop, Spark, and Python to process and analyze large data sets. Qualifications : Required : • Linux • Hadoop • Hive • HQL (Hive Query Language ...

Siemens

$18 - $50/hr

Experience with Python, data analytics, machine learning, or AI technologies. * Familiarity with digital engineering, PLM, or engineering data management concepts is a plus. * Strong communication ...

Siemens

$18 - $50/hr

Experience with Python, data analytics, machine learning, or AI technologies. * Familiarity with digital engineering, PLM, or engineering data management concepts is a plus. * Strong communication ...

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Python Data information

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How much do python data jobs pay per hour?

As of Sep 9, 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 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 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 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.

Are Python coders in demand?

Python developers are in high demand across various industries due to the language's versatility in data analysis, web development, and automation. Employers seek skills in frameworks like Django and data tools such as Pandas, making Python a valuable programming language for job seekers. The demand is expected to grow as data-driven decision-making and automation increase in the workplace.

How much do Python data scientists make?

Python data scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, data analysis, and proficiency with tools like Pandas and TensorFlow can lead to higher compensation.

Is Python Data still in demand in 2026?

Python data roles remain in high demand in 2026 due to the language's widespread use in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and frameworks such as TensorFlow enhance job prospects, and proficiency in data management tools is often required.

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
Infographic showing various Python Data job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $106,276 per year, or $51.1 per hour.

Data Analyst

Troy, MI • On-site

Technomics
Guided Missile and Space Vehicle Manufacturing • 201 - 500 employees
Learn more about Technomicsexternal

Full-time

Posted 19 days ago

Job description

Overview

Technomics is a growing employee-owned, decision analytics company that provides professional services and management solutions to help our clients make better decisions faster. We enable a wide range of clients across the Federal government, from senior level policy makers to program managers, to choose smartly, buy effectively and operate efficiently. We deliver practical, credible and defensible results offering actionable insights by applying data-driven and analytics-based approaches in combination with multidisciplinary talent, subject matter expertise, and tangible and repeatable assets in the form of databases, models, approaches and techniques.
Analysts have the knowledge, skills, abilities and initiative to deliver timely, practical and innovative solutions to our clients as part of high-performing project teams typically composed of a mix of junior and mid-level analysts.

Our employee-owners pride themselves on their ability to apply deep analytical rigor and innovative thought that assist clients in understanding and solving a myriad of challenging resource planning and management problems.

This position is located in Troy, MI.
Position-Specific Overview
Data Analysts will support a U.S. Government client in developing data-driven solutions using Palantir Foundry and related technologies. The role will support data integration, transformation, analytics, and user-facing applications that improve access to mission and business information.

The individual will work with technical teams and end users to develop data pipelines, analytical workflows, and applications, translate requirements into practical solutions, and support testing and implementation. Relevant experience includes Python, SQL, JavaScript/TypeScript, ETL/ELT, low-code development, cloud technologies, and UX/UI design. Direct Palantir Foundry experience is preferred but not required.

Responsibilities and Qualifications

  • Develop, maintain, and improve data pipelines, transformations, analytical workflows, and user-facing data products in Palantir Foundry and related technologies.
  • Work with client stakeholders and technical teams to understand requirements, troubleshoot data issues, and translate business needs into practical analytical solutions.
  • Analyze, clean, integrate, and validate data from multiple sources to support reporting, analysis, and operational workflows.
  • Develop queries, scripts, dashboards, applications, and other analytical products using tools such as Python, SQL, JavaScript/TypeScript, and low-code applications.
  • Support data modeling, database design, testing, documentation, and deployment of new capabilities.
  • Apply UX/UI and user-centered design principles to improve the usability of dashboards, workflows, and analytical applications.
  • Use modern software development practices including Git, testing, version control, and collaborative development.

Minimum Qualifications

  • 2+ years of experience in data analytics, data engineering, software development, or a related technical field.
  • Experience with Python, SQL, and JavaScript/TypeScript.
  • Experience developing ETL/ELT pipelines and working with relational databases and structured data.
  • Experience with low-code application development, cloud technologies, or UX/UI design.
  • Ability to work directly with users to understand requirements and develop data-driven solutions.
  • Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

  • Experience with Palantir Foundry or comparable data and analytics platforms.
  • Experience with PySpark, Spark, or other large-scale data processing technologies.
  • Experience integrating practical AI capabilities, such as LLMs or machine learning models, into user-facing applications, workflows, or analytical products.
  • Prior experience supporting U.S. Government clients or working in regulated environments.

Technomics is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to protected status under applicable law, including disability and protected veteran status.