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Contract Python Developer Google Jobs in Menomonee Falls, WI

KOHLS

Senior MLOps Engineer (Remote)

Menomonee Falls, WI · On-site

$104K - $144K/yr

Experience in MLOps or DevOps practices, including building and operating production ML systems ... In-depth knowledge of cloud platform, preferably Google Cloud Platform services, particularly ...

Pwc

AI Engineer

Milwaukee, WI · On-site

$50K - $112K/yr

... using Python and TensorFlow - Integrating data from various sources to create unified views for ... AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials ...

Apex Systems

Senior Java Developer

Milwaukee, WI · On-site

$56.50 - $72/hr

This is a contract to hire opening. If you are interested please apply with resume to . Location ... Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform. * Experience with ...

Georgia IT, Inc.

GCP-Cloud-Brookfield WI

Brookfield, WI · On-site

$52.75 - $70.50/hr

Georgia IT, Inc. is seeking a GCP Cloud Engineer to lead the design and implementation of ... Responsibilities : • Strong experience with Google Cloud and the cloud stack (IaaS, PaaS, SaaS ...

Generac

Engine Controls Engineer IV

Waukesha, WI · On-site

$83K - $108K/yr

Collaborates with internal manufacturing partners, contract manufacturers, designers, and product ... Advanced experience in applying MATLAB/Simulink and Python in internal combustion engine ...

Johnson Controls

Ai Engineer

Milwaukee, WI

This role is ideal for an engineer who combines solid software, data, and ML engineering skills ... Google Cloud Vertex AI. Technical Expertise * Strong proficiency in Python and SQL, with good ...

Johnson Controls

Ai Engineer

Milwaukee, WI · On-site

This role is ideal for an engineer who combines solid software, data, and ML engineering skills ... Google Cloud Vertex AI. Technical Expertise * Strong proficiency in Python and SQL, with good ...

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Contract Python Developer Google information

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How much do contract python developer google jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for contract python developer google in Menomonee Falls, WI is $58.82, according to ZipRecruiter salary data. Most workers in this role earn between $48.46 and $66.83 per hour, depending on experience, location, and employer.

What does a contract Python developer do at Google?

A Contract Python Developer at Google is responsible for designing, developing, testing, and maintaining Python applications or scripts that support various projects and services. They typically work on a contract basis, contributing to short- or long-term initiatives, such as data analysis, automation, backend development, or integration tasks. Contract developers often collaborate with full-time engineers and other teams to deliver scalable and efficient solutions that meet Google's high standards. Their work may involve using Google Cloud Platform, APIs, and other internal tools to solve technical challenges.

How does a contract Python developer at Google typically integrate with permanent engineering teams?

As a Contract Python Developer at Google, you'll often work closely with permanent engineering teams on specific projects or to address particular skill gaps. Contractors are usually expected to quickly adapt to existing codebases and contribute to ongoing development cycles, collaborating through code reviews, stand-ups, and sprint planning. While you may not participate in long-term strategic planning, your input is valued in delivering high-quality, scalable solutions. Effective communication and the ability to onboard rapidly are key to success in this dynamic environment.

What are the key skills and qualifications needed to thrive as a contract Python developer at Google, and why are they important?

To thrive as a Contract Python Developer at Google, you need strong proficiency in Python programming, experience with software development lifecycles, and a relevant technical degree or equivalent experience. Familiarity with Google Cloud Platform (GCP), code versioning tools like Git, and frameworks such as Django or Flask is typically required. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for this role. These abilities ensure high-quality, scalable code delivery and smooth collaboration within dynamic, fast-paced engineering teams at Google.

What is the difference between Contract Python Developer Google vs Contract Python Engineer?

AspectContract Python Developer GoogleContract Python Engineer
Required CredentialsPython certification, relevant experience, possibly Google-specific toolsPython certification, general software engineering experience
Work EnvironmentGoogle's offices or remote, collaborative teams, fast-paced projectsVaries by employer, often remote or on-site, project-based
Industry UsagePrimarily in tech, cloud, and software servicesTech, finance, startups, and enterprise sectors
Search & Comparison IntentLooking for Google-specific contract roles involving PythonGeneral Python contract roles in various industries

Contract Python Developer Google typically involves working on Google's platforms with specific tools and environments, often requiring familiarity with Google Cloud. Contract Python Engineer is a broader role applicable across multiple industries, focusing on Python development without the Google-specific context. Both roles demand strong Python skills, but the Google role emphasizes familiarity with Google's ecosystem.

Does Google hire Contract Python developers?

Google does hire contract Python developers for various projects, often requiring strong programming skills, experience with Python frameworks, and familiarity with cloud environments. Contract roles may vary in duration and scope, and candidates typically need relevant technical expertise and sometimes security clearances. These positions are usually posted on Google's careers site or through staffing agencies.
Contract Python Developer Google jobs near you

Senior MLOps Engineer (Remote)

Menomonee Falls, WI • On-site

KOHLS
Retail • 10K+ employees
Learn more about KOHLSexternal

$104K - $144K/yr

Other

Re-posted 13 days ago

Key responsibilities

  • Collaborate with Data Scientists and Engineers to build, deploy, and operate machine learning solutions and pipelines.

  • Design, build, and maintain scalable machine learning infrastructure, including model serving, training environments, and orchestration systems.

  • Support development and maintenance of monitoring, alerting, and automated testing frameworks to ensure system reliability and performance.

Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,482 frontline employees who took The Breakroom Quiz

Job description

About the Role

As Senior MLOps Engineer, you will focus on supporting cross-functional teams in designing, deploying, and operating machine learning solutions while building scalable infrastructure, tools, and best practices across the Machine Learning Engineering (MLE) ecosystem.

What You’ll Do

  • Collaborate with Data Scientists and Engineers across the full ML lifecycle, including building and scaling ETL pipelines, deploying models into customer-facing applications, and enabling efficient model development through cloud infrastructure and tooling

  • Design, build, and maintain scalable machine learning infrastructure, including model serving (real-time and batch), training environments, and orchestration systems, with a focus on performance, scalability, and cost efficiency

  • Contribute to the roadmap for Machine Learning Engineering and Data Science tools, including developing reusable frameworks and standardized solutions to streamline model implementation

  • Partner with and support Data Scientists by enabling effective use of cloud-based tools and infrastructure, and providing technical expertise across the ML lifecycle

  • Collaborate with machine learning engineers to share knowledge, improve best practices, and foster a culture of continuous learning and development

  • Support development and maintain monitoring, alerting, and automated testing frameworks to ensure the reliability, performance, and integrity of data pipelines, models, and infrastructure

  • Develop, document, and communicate implementations and best practices across the data science lifecycle

  • Manage and communicate cloud infrastructure costs and budgets to project stakeholders

  • Stay current with GCP services and evolving best practices in Machine Learning Engineering and MLOps

  • Additional tasks may be assigned

What Skills You Have

Required

  • Experience in MLOps or DevOps practices, including building and operating production ML systems using Docker, Kubernetes, CI/CD pipelines, Git-based version control, API development, model serving (batch and real-time), and automated testing frameworks

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field

  • Experience working with Data Scientists to deploy, scale, and operationalize machine learning models in production environments

  • 3+ years of experience as a Machine Learning Engineer with a proven track record of successful project delivery

  • In-depth knowledge of cloud platform, preferably Google Cloud Platform services, particularly Vertex AI, BigQuery and Dataproc.

  • Extensive expertise with CI/CD and 

  • IaC best practices

  • Extensive knowledge of distributed computing and big data technologies like Spark, Kubeflow, Airflow and SQL

  • Extensive expertise in Python and machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn)

  • Experience working in Agile environments with an emphasis on iterative development and continuous delivery

Preferred

  • Master’s Degree 

  • Proficiency in Java or other languages

  • Retail experience

  • E-commerce experience

  • 5+ years of experience in Machine Learning

  • Experience with optimization techniques and tools (e.g., Gurobi, linear programming, mixed-integer programming)

  • Experience working with agent based or agentic AI systems, including orchestration of autonomous workflows or LLM-driven agents

What Kohl's employees say

Pay

Benefits

Hours and flexibility

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