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Remote Python Data Engineer Jobs in Wisconsin (NOW HIRING)

$90K - $100K/yr

The Data Conversion team migrates/converts historical customers' data into Motorola Solutions ... Experience in software development; experience (C#, XML, Python and .NET technologies). * Hands-on ...

Job Title Enterprise Data Architect - Remote Requisition Number R7730 Enterprise Data Architect ... Solutions are built in a highly collaborative environment, partnering with engineering, product ...

Job Title Enterprise Data Architect - Remote Requisition Number R7730 Enterprise Data Architect ... Solutions are built in a highly collaborative environment, partnering with engineering, product ...

Job Title Enterprise Data Architect - Remote Requisition Number R7730 Enterprise Data Architect ... Solutions are built in a highly collaborative environment, partnering with engineering, product ...

Job Title Enterprise Data Architect - Remote Requisition Number R7730 Enterprise Data Architect ... Solutions are built in a highly collaborative environment, partnering with engineering, product ...

Senior Director - Client Data Solutions

Wauwatosa, WI · Remote

$103K - $139K/yr

... systems), data engineering, and client-facing reporting solutions. This role ensures seamless ... Remote - United States Work set up: Monday to Friday - FTE Skills: Are you Strong experience in ...

Senior Director - Client Data Solutions

Wauwatosa, WI · On-site +1

$103K - $139K/yr

... systems), data engineering, and client-facing reporting solutions. This role ensures seamless ... Remote - United States Work set up: Monday to Friday - FTE Skills: Are you Strong experience in ...

Data Analyst

Madison, WI · On-site +1

$100K - $115K/yr

... and engineering initiatives. * This is a remote position. * Candidates must live and work in ... maintain data models to support analytics, reporting, and self-service BI • Provide ongoing ...

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Showing results 1-20

Remote Python Data Engineer information

See Wisconsin salary details

$65.4K

$148.2K

$210.2K

How much do remote python data engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for remote python data engineer in Wisconsin is $148,239.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,500.00 and $171,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Python Data Engineer, you need strong proficiency in Python, data modeling, and ETL pipeline development, typically backed by a degree in computer science or a related field. Familiarity with tools like Apache Airflow, SQL databases, cloud platforms (such as AWS or GCP), and certifications in data engineering are highly valuable. Excellent problem-solving, communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These skills ensure efficient data processing, seamless teamwork across distributed environments, and the reliable delivery of scalable data solutions.

How do Remote Python Data Engineers typically collaborate with distributed teams to ensure smooth project delivery?

Remote Python Data Engineers work closely with cross-functional teams, including data scientists, analysts, and DevOps engineers, often using collaboration tools like Slack, Jira, and GitHub to coordinate work. Regular virtual meetings, clear documentation, and code reviews are essential for maintaining alignment and ensuring code quality. Emphasis is placed on asynchronous communication and well-structured version control practices to overcome time zone differences and keep projects on track. Adapting to these remote workflows is key for successful project delivery in a distributed environment.

What is a Remote Python Data Engineer?

A Remote Python Data Engineer is a professional who specializes in designing, building, and maintaining data pipelines and architectures, primarily using Python, while working from a location outside of a traditional office setting. They are responsible for collecting, transforming, and storing vast amounts of data to support analytics and business intelligence tasks. Their role often involves working with cloud platforms, databases, and big data technologies to ensure efficient data processing and accessibility for other teams. Remote Python Data Engineers collaborate with data scientists, analysts, and developers, leveraging Python's extensive libraries to automate workflows and solve complex data challenges.

What is the difference between Remote Python Data Engineer vs Remote Data Scientist?

AspectRemote Python Data EngineerRemote Data Scientist
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in CS, Statistics, Data Science certifications
Work EnvironmentData pipelines, ETL processes, cloud platformsData analysis, modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcareResearch institutions, tech firms, marketing agencies
Common Search & ComparisonYesYes

Remote Python Data Engineers focus on building and maintaining data pipelines and infrastructure using Python, while Remote Data Scientists analyze data, develop models, and generate insights. Both roles often collaborate but serve different functions within data teams.

Infographic showing various Remote Python Data Engineer job openings in Wisconsin as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $148,239 per year, or $71.3 per hour.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Menomonie, WI • Remote

Other

Posted 27 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.