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Python Data Developer 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 ... Partner with Machine R&D Engineering to standardize output schemas and implement Model-Based ...

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 Group

Python Full Stack Developer

Dearborn, MI · On-site

$61 - $66/hr

Stefanini is looking for a Python FullStack Developer (Dearborn, MI) For quick apply, please reach ... Design and Build Data Pipelines: Architect, develop, and maintain scalable data pipelines and ...

AaraTechnologies Inc

DATA ENGINEER

Wyoming, MI

$103K - $124K/yr

Data Engineer Retail & E-Commerce (2 3 Years Experience) Company: AaraTech Inc About the Role ... Write SQL queries and basic Python scripts * Assist with data ingestion and transformation

V2Soft

Senior PLM Developer

Dearborn, MI

REST APIs, Data Migration, Java, Artificial Intelligence & Expert Systems, Python Skills Preferred ... Engineer 2 Exp: 4+ years Data Engineering work experience in PLM Domain Experience Preferred: Key ...

FastTek Global

Senior PLM Developer

Dearborn, MI

... Python-based libraries like Scikit-learn or Pandas, or LLM-based data cleaning) to automate the ... Data Engineering work experience in PLM Domain Key Responsibilities: · Migration Tooling ...

V2Soft

Senior PLM Developer

Dearborn, MI

REST APIs, Data Migration, Java, Artificial Intelligence & Expert Systems, Python Skills Preferred ... Engineer 2 Exp: 4+ years Data Engineering work experience in PLM Domain Experience Preferred: Key ...

HTC Global Services

Data Engineer

Grand Rapids, MI · On-site

$106K - $127K/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 ...

HTC Global Services

Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/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 ...

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Python Data Developer information

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

Python Data Developers often encounter challenges related to efficiently processing and managing large datasets, such as optimizing data pipelines for speed and memory usage. Handling data quality issues, integrating data from multiple sources, and ensuring scalability of their solutions are also frequent hurdles. Collaboration with data engineers, analysts, and stakeholders is crucial for understanding requirements and delivering robust results. Staying up to date with the latest libraries and tools, like Pandas, Dask, or PySpark, is also important to overcome these challenges and maintain high performance.

What is the difference between Python Data Developer vs Data Analyst?

AspectPython Data DeveloperData Analyst
Required SkillsPython, SQL, data modeling, ETL processesExcel, SQL, data visualization, basic statistics
CertificationsPython certifications, data engineering coursesData analysis certifications, Excel certifications
Work EnvironmentData engineering teams, software development projectsBusiness units, reporting teams
Industry UsageTech, finance, healthcare, where data pipelines are neededMarketing, finance, operations for insights and reporting

The Python Data Developer focuses on building data pipelines, integrating data sources, and developing scalable data solutions using Python. In contrast, Data Analysts primarily interpret data, create reports, and provide insights for decision-making. While both roles require SQL and data handling skills, Python Data Developers are more involved in data engineering tasks, whereas Data Analysts focus on data visualization and analysis.

What are Python Data Developers?

Python Data Developers are professionals who use the Python programming language to collect, process, and analyze data. They build and maintain data pipelines, write scripts for data manipulation, and work with databases to ensure data is accessible and usable for analytics and business insights. These developers often collaborate with data scientists, analysts, and other IT professionals to support data-driven decision-making within an organization.

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

To excel as a Python Data Developer, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with relational and NoSQL databases. Familiarity with data processing libraries (like Pandas, NumPy), ETL tools, and version control systems, as well as knowledge of cloud platforms (such as AWS or Azure), are typically required. Problem-solving ability, attention to detail, and effective communication are vital soft skills in this role. These skills enable efficient data pipeline development, ensure data quality, and facilitate collaboration within technical teams.
What are popular job titles related to Python Data Developer jobs in Michigan? For Python Data Developer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Python Data Developer jobs in Michigan look for? The top searched job categories for Python Data Developer jobs in Michigan are:
What cities in Michigan are hiring for Python Data Developer jobs? Cities in Michigan with the most Python Data Developer job openings:
Python Data Developer 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 5 days ago

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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.