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Remote Python Engineer Jobs in Wisconsin (NOW HIRING)

... remote Projektsprache: Deutsch und Englisch Aufgaben: Datenanalyse und Prototyping mit Python in ... Engineering sowie Training, Versionierung und Deployment von Modellen mit Databricks MLflow ...

Remote bevorzugt, gelegentliche Vor-Ort-Termine nach Absprache 400 - 450 a day Aufgaben Aufbau, ... Container, Python, IDEs) Unterstutzung und Enablement von Data-Science- und Entwicklungsteams ...

Software Development Engineer

Madison, WI · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This position offers remote work flexibility but is only open to candidates who reside in or are ... Python and Python frameworks such as FastAPI/Flask * Cloud Platforms - Microsoft Azure/Amazon Web ...

We're a fully remote team of 100+ spread across the U.S. from coast to coast. We operate on a ... It's a wide role by design - Python for the ML and ingestion services, Terraform for everything ...

$111K - $152K/yr

REMOTE OR HYBRID IS POSSIBLE FOR THE RIGHT CANDIDATE. Open for candidates in Canada as well as the ... Experience creating or using models and/or simulation software. * • Knowledge of Python or other ...

Security Engineer (AppSec)

Milwaukee, WI · On-site +1

$57.75 - $77.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As needed provide training on secured development principals in both remote and in person settings ... Python). * Familiarity with security frameworks and standards (e.g. OWASP, NIST). * Excellent ...

AI Engineer

Glendale, WI · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This is a hybrid/remote role that is flexible on location so long as there is flexibility to travel ... Proficiency in Python and relevant ML frameworks (PyTorch, TensorFlow, scikit-learn, or equivalent)

$111K - $152K/yr

REMOTE OR HYBRID IS POSSIBLE FOR THE RIGHT CANDIDATE. Open for candidates in Canada as well as the ... Experience creating or using models and/or simulation software. * • Knowledge of Python or other ...

DevOps Cloud Engineer

Middleton, WI · Remote

$54.25 - $74.25/hr

Develop automation scripts and internal tooling in Python and Bash. Monitoring, Reliability ... Engineer). * Experience supporting IoT ecosystems, device fleets, or home automation products.

Senior Data Engineer

Brookfield, WI · Remote

$100K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and Python-based data science solutions * Referenceable work history developing interactive ... This remote role is only open to individuals that reside in one of the following states at the time ...

DevOps Cloud Engineer

Middleton, WI · Remote

$54.25 - $74.25/hr

Develop automation scripts and internal tooling in Python and Bash. Monitoring, Reliability ... Engineer). * Experience supporting IoT ecosystems, device fleets, or home automation products.

REMOTE OR HYBRID IS POSSIBLE FOR THE RIGHT CANDIDATE. Open for candidates in Canada as well as the ... Programming & Scripting: • Proficiency in Python, SQL, and shell scripting for automation and ...

Senior Modeling Engineer

Milwaukee, WI · On-site +1

$103K - $141K/yr

... also be a remote opportunity for the right candidate! How You Will Do It * Develop numerical ... Python scripting and environment management (package installation, virtual environments, basic ...

Showing results 21-40

Remote Python Engineer information

See Wisconsin salary details

$23.2K

$141.3K

$204.4K

How much do remote python engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote python engineer in Wisconsin is $141,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $166,000.00 per year, depending on experience, location, and employer.

What does a remote Python engineer do?

A Remote Python Engineer designs, develops, and maintains software applications using the Python programming language, all while working from a remote location. Their responsibilities typically include writing efficient code, troubleshooting issues, collaborating with team members through online tools, and integrating third-party APIs or libraries. They may work on web development, automation scripts, data analysis, or backend services depending on the company's needs. Remote Python Engineers must have strong communication skills and be comfortable using project management and version control tools like Git. This role is ideal for those who want the flexibility of working from home while contributing to software projects.

What are some common challenges faced by remote Python engineers, and how can they be overcome?

Remote Python Engineers often encounter challenges such as effective communication across time zones, maintaining productivity outside a traditional office, and ensuring code quality in distributed teams. To overcome these, it's helpful to use collaborative tools like Slack and GitHub, participate in regular virtual meetings, and follow clear coding standards. Actively documenting your work and reaching out proactively to teammates can also foster a sense of connection and streamline project workflows.

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

To thrive as a Remote Python Engineer, you need a strong command of Python programming, experience with software development best practices, and familiarity with frameworks like Django or Flask, often supported by a relevant degree or equivalent experience. Proficiency in version control systems such as Git, cloud platforms like AWS or Azure, and continuous integration tools is typically required. Excellent problem-solving abilities, self-motivation, and clear written communication are crucial for effective collaboration in a remote environment. These skills ensure high-quality code delivery, efficient teamwork across distributed teams, and successful project outcomes.

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

AspectRemote Python EngineerRemote Data Scientist
Required SkillsPython, APIs, software developmentPython, statistics, machine learning
Work EnvironmentSoftware development teams, coding, debuggingData analysis, modeling, research
Industry UsageTech, startups, software companiesFinance, healthcare, tech

While both roles require Python skills, Remote Python Engineers focus on building and maintaining software applications, whereas Remote Data Scientists analyze data and develop models. The roles often overlap in Python proficiency but differ in their core responsibilities and industry applications.

What are popular job titles related to Remote Python Engineer jobs in Wisconsin?

For Remote Python Engineer jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Remote Python Engineer jobs in Wisconsin look for?

The top searched job categories for Remote Python Engineer jobs in Wisconsin are:

What cities in Wisconsin are hiring for Remote Python Engineer jobs?

Cities in Wisconsin with the most Remote Python Engineer job openings:

Infographic showing various Remote Python Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $141,280 per year, or $67.9 per hour.

Databricks AI / ML Engineer (m/w/d)

Qualysoft

On-site, Remote

Contractor

Re-posted 17 days ago


Job description

Fur ein langfristig angelegtes Daten- und KI-Programm wird ein Databricks AI / ML Engineer (m/w/d) gesucht.
Ziel ist die Entwicklung, Implementierung und der Betrieb skalierbarer Machine-Learning- und LLM-Losungen auf Azure Databricks von der Datenaufbereitung uber Feature Engineering bis hin zu MLOps, Deployment und Monitoring.
Der Fokus liegt auf Big-Data-Engineering, ML/LLM-Workloads, MLOps-Automatisierung sowie der nahtlosen Integration in das Microsoft-Okosystem.
520 - 560 a day
Rahmenbedingungen
Start: Marz/April 2026
Laufzeit: 3 Jahre (optional verlangerbar bis max. 5 Jahre)
Auslastung: 100 %
Arbeitsmodell: Hybrid - ca. 50 % vor Ort in Wien, ca. 50 % remote
Projektsprache: Deutsch und Englisch

Aufgaben:
Datenanalyse und Prototyping mit Python in Azure Databricks unter Einsatz gangiger ML-Frameworks
Entwicklung und Betrieb von Big-Data-Pipelines mit Apache Spark, Delta Lake und Databricks SQL
Durchfuhrung von Feature Engineering sowie Training, Versionierung und Deployment von Modellen mit Databricks MLflow
Entwicklung und Betrieb von ML- und LLM-Workloads auf Azure Databricks (inkl. Unity Catalog, Performance- und Kostenoptimierung)
End-to-End-Integration der Losungen in das Microsoft-Okosystem (z. B. API- und Schnittstellendesign, Orchestrierung mit Azure Functions und Logic Apps)
Aufbau und Weiterentwicklung von MLOps- und CI/CD-Pipelines fur automatisiertes Training, Testing, Deployment und Monitoring von ML- und LLM-Modellen sowie Agents
Durchfuhrung von Modell- und Datenmonitoring (Modellleistung, Daten-Drift, Bias) inklusive Wartungs- und Updateprozessen
Einsatz von AutoML-Tools zur Beschleunigung von Prototypen und Experimenten
Sicherstellung von Skalierbarkeit, Sicherheit und stabilen Betriebsprozessen der entwickelten Losungen

Fachliche Anforderungen:
Fundierte Kenntnisse in Datenanalyse und Prototyping mit Python in Azure Databricks
Erfahrung mit Machine-Learning-Frameworks wie TensorFlow, PyTorch und scikit-learn
Praktische Erfahrung im Big Data Engineering mit Apache Spark, Delta Lake und Databricks SQL
Kompetenz in Feature Engineering sowie Modell-Deployment mit managed Databricks MLflow
Erfahrung in der Entwicklung und dem Betrieb von ML- und LLM-Workloads auf Azure Databricks
Erfahrung mit End-to-End-Integrationen im Microsoft-Okosystem
Erfahrung im Aufbau von MLOps- und CI/CD-Pipelines fur ML- und LLM-Modelle sowie agentische Workflows
Erfahrung im Modell- und Datenmonitoring (Leistung, Drift, Bias) inklusive passender Wartungsstrategien
Praktische Erfahrung im Einsatz von AutoML-Tools
Vorhandensein einer eigenen, vom Produktivsystem des Auftraggebers getrennten Entwicklungsumgebung, die den aktuellen Standards fur Datensicherheit und Zugriffsschutz entspricht (inkl. Nachweis der Infrastruktur)

PLUS:
Erfahrung mit Data- und KI-Governance
Erfahrung in der Konzeption und Umsetzung agentischer Ansatze (Agenten, Multi-Agent-Systeme, agentische Workflows) mit Azure-Ressourcen
Erfahrung in der Umsetzung von End-to-End-Databricks-Projekten (von Datenaufbereitung und Feature Engineering uber Modelltraining und Deployment bis zu MLOps und Monitoring)
Branchenkenntnisse in der Energieindustrie
Strukturierte und analytische Arbeitsweise
Hohes Qualitatsbewusstsein und Verantwortungsbereitschaft
Sehr gute Kommunikationsfahigkeit gegenuber technischen und fachlichen Stakeholdern
Teamfahigkeit und Bereitschaft zur Wissensweitergabe

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