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Python Data Jobs in Michigan (NOW HIRING)

Data Engineer

Dearborn, MI ยท Hybrid

$115K - $192K/yr

Intermediate Python Coding: Proficiency in writing clean, maintainable code for data manipulation and automation. * GCP Expertise: Hands-on experience with BigQuery, dataflow, and Cloud Run

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 ยท On-site

$105K - $126K/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 (GCP)

Dearborn, MI ยท On-site

$105K - $126K/yr

Develop data transformation logic using Python, SQL, and DBT/Dataform * Help ensure data quality, consistency, and readiness for analytics and reporting * Monitor and improve pipeline performance ...

Data Engineer

Dearborn, MI ยท On-site

$105K - $126K/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

Southfield, MI ยท On-site

$114K/yr

Data Engineer (Job Code: 1391) Duties : Responsible for supporting vehicle feature level ... Python, GCP, Hadoop, Azure, Tableau, Alteryx, AWS, C++, Git, Embedded C, SQL, and Docker. Will also ...

Data Engineer

Lansing, MI ยท On-site

$116K - $139K/yr

Data Engineer Location: Lansing, MI (Need only locals, F2F is must) Rate: Market Duration ... Python/Scala. 8+ years Oracle. 5+ years' experience with Extract, Transform, and Load (ETL) ...

Data Analyst

Detroit, MI ยท On-site

$45 - $50/hr

Net and python * Database development and design * Background in insurance Education: * Background in computer science or data science Meet Your Recruiter Kunal Goswami

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

Proficiency in Python. * Experience with cloud platforms (AWS preferred) and Big Data technologies. * Experience with Databricks is a plus. * Strong software development and coding best practices.

Principal Data Engineer

Plymouth, MI ยท Remote

$109K - $130K/yr

Tableau, Tableau Server, SSIS, SQL Server, PostgreSQL, Python, SSRS, Azure, Cloud, Git, CI/CD, Terraform, CloudFormation, HL7, FHIR Requirements: Senior data engineer with expertise in SQL Server ...

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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.

OBD Fleet Durability Analytics Engineer

Hyundai Motor Company

Superior Township, MI โ€ข Hybrid

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Job description

OBD Fleet Durability Analytics Engineer

About Hyundai America Technical Center, Inc. (HATCI)

Hyundai America Technical Center, Inc. (HATCI) serves as Hyundai Motor Group's North American R&D headquarters, supporting Hyundai, Kia, and Genesis products in one of the world's most competitive automotive markets. Our teams drive innovation across product planning, design, engineering, quality, testing, and advanced technology development.

With our main R&D campus in Michigan and additional engineering, development, and proving ground facilities in California, HATCI provides a dynamic environment where ideas accelerate into real-world vehicle advancements.

About the Team

The Emissions and OBD Validation (EMOV) team is part of the Electrified Propulsion division of HATCI. We advance propulsion efficiency and performance across Hyundai, Kia, and Genesis internal combustion and hybrid powertrains, directly shaping the refinement, competitiveness, and technological leadership of the vehicles our customers drive every day. EMOV leads local market testing and validation of engine and electrified propulsion management systems controlling vehicle emissions and diagnostics.

Position Overview

We are seeking an innovative, analytically-minded, and self-driven OBD Fleet Durability Analytics Engineer to join our team in Superior Township, Michigan. In this role, you will drive data-driven decision making for the validation of engine management and on-board diagnostics systems for pre-production vehicles undergoing extensive mileage accumulation and emissions durability testing. You will analyze CAN/XCP parameters collected from our instrumented fleet vehicles to identify failure modes, detect early indicators of component degradation, and validate the robustness of OBD calibrations and engine management calibrations.

This position offers the opportunity to work with data-intensive development programs, advanced calibration technologies, and cross-functional engineering teams. You will help shape the next generation of internal combustion, hybrid, and electrified propulsion systems through rigorous data analysis, predictive analytics, and data-driven insights that directly inform calibration refinement and vehicle durability validation.

WHAT YOU WILL DO

Key Responsibilities

  • Lead data analytics activities for engine management and OBD systems using second-by-second vehicle data collected from long-term fleet testing
  • Develop and execute statistical analysis plans to extract trends, detect anomalies, and identify correlations between operating conditions and system performance degradation
  • Perform predictive analytics modeling to forecast potential failures and validate the effectiveness of OBD diagnostic monitors during extended durability testing
  • Set up instrumentation and monitor fleet vehicles to ensure accurate data acquisition from data loggers (XCP/CAN), reliable test execution, and data integrity
  • Analyze multivariate time-series data using Python, MATLAB, or similar tools to perform root cause analysis on high-occurrence issues and calibration weaknesses
  • Conduct data-driven investigations using statistical hypothesis testing and cross-functional collaboration to evaluate diagnostic trouble codes (DTCs) and OBD monitor robustness
  • Support fleet operation activities including calibration updates, software flashing, diagnostic evaluation, and instrumentation troubleshooting
  • Prepare advanced technical visualizations and dashboards to communicate data findings, trends, and actionable recommendations to calibration engineers and engineering leadership
  • Validate aftertreatment durability and regulatory compliance through analysis of emissions testing data at defined mileage intervals
  • Evaluate emerging data analytics technologies that support enhanced OBD validation, predictive maintenance capabilities, and compliance with evolving emissions regulations
  • Manage fleet data governance including database administration, parameter definition validation, signal quality assurance, and test data archival
  • Plan, coordinate, and track analytics project activities to ensure timely and high-quality execution aligned with program milestones
  • Travel up to 15% both domestically and internationally

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Core Competencies

  • Advanced proficiency in Python - data manipulation (Pandas, NumPy), statistical analysis (SciPy, Statsmodels), and time-series analysis frameworks
  • SQL database management - querying, joining, and optimizing large datasets from fleet data loggers
  • Statistical analysis expertise - regression modeling, hypothesis testing, correlation analysis, and multivariate analysis techniques (PCA, clustering)
  • Time-series analytics - trend detection, anomaly identification, and pattern recognition across long-duration vehicle operating data
  • Data visualization - creating technical dashboards and visualizations using Matplotlib, Seaborn, Plotly, or Power BI/Tableau
  • Predictive analytics modeling - machine learning techniques (classification, regression) for fault prediction and OBD monitor validation
  • Strong foundation in engine controls, combustion, and exhaust aftertreatment systems
  • Knowledge of diagnostic trouble code (DTC) development and OBD monitor calibration processes
  • Understanding of EPA and CARB emissions and OBD regulatory requirements and testing procedures
  • Experience with hybrid powertrain operation and associated propulsion control strategies
  • Ability to specify, configure, and operate data acquisition systems and instrumentation for fleet vehicles
  • Experience with vehicle calibration tools such as ETAS INCA, MDA, or similar ECU calibration platforms
  • Strong verbal, written, and interpersonal communication skills
  • Commitment to professional integrity, sound judgment, and responsible handling of sensitive information
WHAT YOU WILL BRING TO THE ROLE

Basic Qualifications

  • B.S. in Mechanical Engineering, Electrical Engineering, Computer Science, or related discipline
  • 2+ years of experience in powertrain calibration, emissions development, OBD-II calibration or system validation
  • Proficiency in Python for data analysis or equivalent programming experience (Pandas, NumPy, SciPy)
  • Working knowledge of automotive communication protocols such as CAN and LIN
  • Experience with vehicle calibration tools such as ETAS INCA, MDA, or similar platforms
  • Knowledge of propulsion system fundamentals including hybrid powertrain operation
  • Familiarity with emissions and OBD regulatory frameworks (EPA, CARB)
  • Experience conducting or supporting emissions testing, OBD monitor development, or vehicle test procedures
  • Strong verbal, written, and interpersonal communication skills
  • Valid driver's license and a satisfactory driving record

Preferred Qualifications

  • M.S. in Mechanical Engineering, Electrical Engineering, Computer Science, or related field
  • 5+ years of experience in emissions development, OBD calibration, and vehicle validation
  • Advanced data analysis proficiency with MATLAB/Simulink, Python (Pandas, Scikit-learn, SciPy), or SQL
  • Experience validating OBD-II features for mass-production launch or durability programs
  • Hands-on experience with fleet data analysis or long-duration time-series data from vehicle testing
  • Familiarity with statistical methods for automotive applications - trend analysis, anomaly detection, multivariate analysis
  • Experience with data visualization tools - Power BI, Tableau, or advanced matplotlib/plotly dashboards
  • Knowledge of machine learning fundamentals - predictive modeling, classification algorithms, or anomaly detection
  • Experience with XCP/CAN data acquisition systems and automotive diagnostic databases (ODX)
  • Cross-functional collaboration experience working with calibration engineers, test engineers, and vehicle development teams
WHAT HYUNDAI CAN OFFER YOU
  • Zero-dollar Employee Premiums on Medical, Dental, and Vision for You and Your Family
  • 100% Employer-paid Disability and Life Insurance
  • Generous Paid Time Off Including Vacation, Sick, and Abundant Holidays
  • Competitive Salaries
  • A Global Environment that Fosters Diversity
  • Retirement Savings and Planning Benefits
  • Access to Health Savings Accounts and Flexible Spending Accountsย 
  • Flexible Work Hours
OTHER DETAILS
  • Candidates applying for positions with Hyundai KIA must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
    • HATCI is an Equal Opportunity Employer including Disabled and Veteran. VEVRM Federal contractor.