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Python Data Developer Jobs in Michigan (NOW HIRING)

Proficiency in Python and experience with data engineering libraries such as Pandas, NumPy, and ... Apache Beam. * ETL/ELT Tools: Experience with ETL/ELT tools such as Apache Airflow, DataFlow ...

Platform Engineer

Dearborn, MI · On-site

$140K - $184K/yr

Platform Engineer - positions offered by Ford Motor Credit Company LLC (Dearborn, Michigan). Note ... data pipeline orchestration, including experience with Python DAGs, Apache Beam, workflow ...

Data Architect Specialist

Dearborn, MI · On-site

$58.50 - $75.25/hr

Collaborate with data engineers, architects, analysts, and data scientists to design and deliver ... Familiarity with SQL, Python, data visualization tools, and modern data architectures. * Experience ...

Data Engineer

Southfield, MI · On-site

$114K/yr

... Developer), as a Graduate Research Assistant, or in a related occupation; Other Requirements ... Python, GCP, Hadoop, Azure, Tableau, Alteryx, AWS, C++, Git, Embedded C, SQL, and Docker. Will also ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Strong experience in AWS Cloud & DevOps * Strong programming skills in Python for automation and data processing * Hands-on with Terraform and AWS CDK * Experience with CI/CD tools (GitHub Actions ...

Palantir, Data Engineer

Detroit, MI · Remote

$113K - $135K/yr

A healthcare company based in the Midwest is looking to hire a remote Data Engineer with some ... Python, PySpark, TypeScript Location: HQ in Michigan, occasional travel required

Palantir, Data Engineer

Detroit, MI · Remote

$113K - $135K/yr

A healthcare company based in the Midwest is looking to hire a remote Data Engineer with some ... Python, PySpark, TypeScript Location: HQ in Michigan, occasional travel required

Principal Data Engineer

Plymouth, MI · 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 ...

Senior Data Product Manager

Dearborn, MI · On-site

$116K - $153K/yr

The ideal candidate will bridge business, engineering, analytics, and data science teams to deliver ... Familiarity with SQL, Python, data visualization tools, and modern data architectures. * Experience ...

The ideal candidate will partner with business, engineering, analytics, and data science teams to ... Familiarity with SQL, Python, data visualization tools, and modern data architectures. * Experience ...

Data Engineer

Okemos, MI · On-site

$103K - $124K/yr

Data Engineer Location: Okemos, MI (Hybrid/ Onsite) Duration: Long term Rate: Market F2F is must ... PL/SQL, Python, T-SQL, StreamSets, Snowflake Cloud Data Platform, and Informatica PowerCenter ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... and deploying DevOps pipelines with cloud services - Enhancing cloud resources for cost and ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Comprehensive experience with one or more programming languages such as Python, Java, or Rust * Comprehensive experience working with Big Data platforms (i.e., Spark, Google Big Query, Azure, AWS S3 ...

Leveraging modern developer tools, including AI‑assisted coding tools , to improve efficiency ... Strong programming experience in Python for data pipelines and automation * Experience designing ...

Cloud Data Engineer

Ada, MI · On-site

$92K - $113K/yr

Leveraging modern developer tools, including AI-assisted coding tools , to improve efficiency ... Strong programming experience in Python for data pipelines and automation * Experience designing ...

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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 Developer with Java

Python Developer with Java

Resource Point LLC

Detroit, MI • On-site

Contractor

Re-posted 23 days ago


Job description

Looking for W-2 CANDIDATES ONLY who are authorized to work in the United States without the need for sponsorship. H-1B Transfers AND CORP-TO-CORP Candidates WILL NOT BE CONSIDERED for this position

Job Title: Python Developer with Java

Location: Detroit, MI

Duration: 12 Months

 Job Responsibilities:
  • Design, develop, and maintain backend services with a primary focus on Python.
  • Build and deploy RESTful APIs and microservices using Python frameworks such as Flask, FastAPI, or Django.
  • Support and enhance existing Java/Spring Boot services, including feature development, optimization, and ongoing maintenance.
  • Collaborate closely with DevOps, QA, and frontend teams to ensure seamless and high-quality product delivery.
  • Integrate third-party APIs and develop or maintain data transformation pipelines.
  • Write clean, maintainable, and well-documented code following industry best practices.
  • Participate in code reviews, technical design discussions, and agile ceremonies as part of the development lifecycle.
  • Monitor, diagnose, and resolve performance issues across the application stack.
Required Skills:
  • Minimum 3 years of professional experience in backend development.
  • Strong proficiency in Python, along with hands-on experience in at least one major Python web framework (Flask, FastAPI, or Django).
  • Working knowledge of Java, including practical experience using Spring Boot in production environments.
  • Proven experience in developing and integrating RESTful APIs.
  • Familiarity with relational databases such as PostgreSQL, MySQL, or Oracle.
  • Solid understanding of microservices architecture and API lifecycle management.
  • Experience with version control (Git), as well as CI/CD pipelines and containerization tools like Docker.
  •  
  Good problem-solving skills and attention to detail.