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Data Engineer Python Jobs in Michigan (NOW HIRING)

Data Engineer

Detroit, MI

$113.40K - $136.10K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... data (Python, R, SQL, SAS). -Strong knowledge of big data analysis and storage tools and ...

Data Engineer

Dearborn, MI · On-site

$105.90K - $127.10K/yr

Java, Python, Spark, Scala, SQL * 3 years of cloud data/software engineering experience building scalable, reliable, and cost-effective production batch and streaming data pipelines using: * Data ...

Data Engineer

Detroit, MI

$113.40K - $136.10K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... data (Python, R, SQL, SAS). -Strong knowledge of big data analysis and storage tools and ...

Data Engineer

Dearborn, MI

$105.90K - $127.10K/yr

Java, Python, Spark, Scala, SQL * 3 years of cloud data/software engineering experience building scalable, reliable, and cost-effective production batch and streaming data pipelines using: * Data ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Big Data Engineer

Detroit, MI · Hybrid

$100K - $110K/yr

Strong Python experience (hands-on coding required) * AWS Glue experience with Spark-based Glue ... Programming: Proficiency in Python - SQL: Advanced SQL skills for data transformation and analysis.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director & Summary ... Data Engineer Associate] is a plus - Proficient in Python and structured/unstructured data ...

Data Engineer

Plymouth, MI · On-site

$120K/yr

Degree in Computer Science, Data Engineering, or related field (or equivalent experience). * Proven ... Strong Python, PySpark, Spark SQL, and SQL skills. * Hands-on experience with Databricks (Delta ...

Degree in Computer Science, Data Engineering, or related field (or equivalent experience). * Proven ... Strong Python, PySpark, Spark SQL, and SQL skills. * Hands-on experience with Databricks (Delta ...

BI Data Engineer

Auburn Hills, MI

$108.40K - $130.10K/yr

... engineers ... Write SQL queries and basic Python scripts to transform and clean data, learning best practices ...

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Data Engineer Python information

What is a Data Engineer Python job?

A Data Engineer Python job involves designing, building, and maintaining data pipelines using Python. These professionals ensure data is collected, processed, and stored efficiently for analytics and machine learning. They work with databases, cloud platforms, and big data technologies to optimize data workflows. Strong Python skills, SQL knowledge, and experience with ETL processes are essential for this role.

What are the key skills and qualifications needed to thrive in the Data Engineer Python position, and why are they important?

To thrive as a Data Engineer Python, you need strong programming skills in Python, a solid understanding of data modeling, ETL processes, and often a degree in computer science or a related field. Experience with big data tools like Apache Spark or Hadoop, cloud data platforms such as AWS or Azure, and certifications in data engineering are valuable assets. Analytical thinking, attention to detail, and effective communication are important soft skills for collaborating across teams and solving complex data challenges. These qualifications are critical for successfully designing, building, and maintaining scalable data pipelines that support organizational decision-making.

What are the typical daily responsibilities of a Data Engineer Python?

As a Data Engineer Python, your daily tasks will often include designing, building, and maintaining robust data pipelines to collect, process, and store large sets of structured and unstructured data. You’ll frequently work with Python to automate data workflows and ensure data quality, while also collaborating with data scientists, analysts, and other engineering teams to support shared objectives. Monitoring system performance, troubleshooting issues, and optimizing data processes for scalability and efficiency are also key parts of the role. This position offers an engaging mix of technical problem-solving and cross-functional teamwork in a dynamic data-driven environment.
What are popular job titles related to Data Engineer Python jobs in Michigan? For Data Engineer Python jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Engineer Python jobs in Michigan look for? The top searched job categories for Data Engineer Python jobs in Michigan are:
Infographic showing various Data Engineer Python job openings in Michigan as of May 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 85% In-person, 12% Hybrid, and 3% Remote job distribution.
Python Technical Architect/ Lead

Python Technical Architect/ Lead

Conflux Systems

Auburn Hills, MI • On-site

$138.20K - $169.80K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Title: Sr Python Developer & Lead
Location: Auburn Hills, MI- Onsite
Remote work: No
Mandatory Skills: Data Engineering, Python, PySpark, CI/CD, Airflow, Workflow Orchestration
Key Responsibilities
1. Data Engineering: Design, develop, and optimize scalable data pipelines using Python and PySpark for batch and streaming workloads.
2. Workflow Orchestration: Build, schedule, and monitor complex workflows using Airflow, ensuring reliability and maintainability.
3. CI/CD Pipeline Development: Architect and implement CI/CD pipelines for data engineering projects using GitHub, Docker, and cloud-native solutions.
4. Testing & Quality: Apply test-driven development (TDD) practices and automate unit/integration tests for data pipelines.
5. Secure Development: Implement secure coding best practices and design patterns throughout the development lifecycle.
6. Collaboration: Work closely with Data Architects, QA teams, and business stakeholders to translate requirements into technical solutions.
7. Documentation: Create and maintain technical documentation, including process/data flow diagrams and system design artifacts.
8. Mentorship: Lead and mentor junior engineers, providing guidance on coding, testing, and deployment best practices.
9. Troubleshooting: Analyze and resolve technical issues across the data stack, including pipeline failures and performance bottlenecks.
Technical Experience:
1. Hands-on Data Engineering : Minimum 5+ yearsof practical experience building production-grade data pipelines using Python and PySpark.
2. Airflow Expertise: Proven track record of designing, deploying, and managing Airflow DAGs in enterprise environments.
3. CI/CD for Data Projects : Ability to build and maintain CI/CD pipelinesfor data engineering workflows, including automated testing and deployment**.
4. Cloud & Containers: Experience with containerization (Docker and cloud platforms (GCP) for data engineering workloads. Appreciation for twelve-factor design principles
5. Python Fluency : Ability to write object-oriented Python code manage dependencies, and follow industry best practices
6. Version Control: Proficiency with **Git** for source code management and collaboration (commits, branching, merging, GitHub/GitLab workflows).
7. Unix/Linux: Strong command-line skills** in Unix-like environments.
8. SQL : Solid understanding of SQL for data ingestion and analysis.
9. Collaborative Development : Comfortable with code reviews, pair programming and usingremote collaboration tools effectively.
10. Engineering Mindset: Writes code with an eye for maintainability and testability; excited to build production-grade software
11. Education: Bachelor's or graduate degree in Computer Science, Data Analytics or related field, or equivalent work experience.
• A high tolerance for OpenShift, Cloudera, Tableau, Confluence, Jira, and other enterprise tools.