Explore 4 python cloud platform developer jobs from 3 hiring companies in Fall River, WI, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Python Cloud Platform Developer Jobs

Milwaukee Tool

Exact Sciences

State of Wisconsin Investment Board

Hybrid

Onsite

Remote

Swib

Sophisticated Work. In a Great City. Making a Difference.The State of Wisconsin Investment Board (SWIB) manages more than $178 billion in assets, including those of the fully-funded Wisconsin Retirement System (WRS). SWIB operates at a level more often seen in top-tier global asset managers than in typical public pension funds. SWIB is a home for top talent. Approximately 61 percent of SWIB’s investment professionals are Chartered Financial Analyst (CFA) charterholders. The City of Madison, the state capitol and home of Wisconsin’s flagship university, makes regular appearances on lists of best places to live, eat, and play. SWIB offers a modern workspace, hybrid work options, and competitive compensation and benefits. Serving over 703,000 WRS beneficiaries, SWIB is driven by a clear mission: securing the financial future of those who serve Wisconsin. When you work at SWIB, you know your work matters.Job Description:<div><div>Job Description</div></div><div><div><div><div><div><div><div><div><div>Applicants on an OPT, CPT visa or anyone requiring H-1B transfers or sponsorship into the H-1B lottery will not be considered for this position.</div></div></div></div></div></div></div></div></div>What You’ll Do<ul><li>Design, build, and maintain production-grade APIs and system integrations that support critical workflows</li><li>Own the end-to-end lifecycle of services and applications, from design and implementation through deployment, monitoring, and iteration</li><li>Build automated, cloud-native workflows, including thoughtful use of AI capabilities where they provide clear business value</li><li>Contribute to user-facing interfaces that make complex workflows understandable and efficient for end users</li><li>Design and manage data models and persistence layers, including schema design, performance tuning, and troubleshooting</li><li>Deploy and operate applications in cloud environments using best practices for security, reliability, observability, and cost awareness</li><li>Apply AI pragmatically — both as a development accelerator and, where appropriate, as part of production systems (e.g., LLMs, vector search, NLP APIs)</li><li>Participate actively in code reviews, design discussions, and technical decision-making, raising the quality bar for the team</li><li>Mentor and support less-experienced engineers through pairing, reviews, and knowledge sharing</li><li>Collaborate closely with technical and non-technical partners to translate business needs into clear, maintainable technical solutions</li><li>Contribute to the evolution of engineering standards, patterns, and tooling within the team and broader organization</li></ul>What You Bring<ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience</li><li>5&#43; years of professional software development experience (or equivalent demonstrated impact)</li><li>Strong proficiency in Python, with experience building and maintaining production-grade systems</li><li>Solid experience working with databases (SQL and/or NoSQL), including data modeling and performance considerations</li><li>Hands-on experience with cloud platforms such as Azure, AWS, or GCP</li><li>Proven experience designing, building, and delivering end-to-end software systems in real world production environments</li><li>Familiarity in finance and in financial systems (e.g., financial data, instruments, reporting, or workflows), and interest in applying technology in this domain</li><li>Experience with or strong interest in AI technologies, such as LLMs, vector databases, or NLP APIs</li><li>Sound technical judgment and the ability to balance delivery speed, quality, and long-term maintainability</li><li>Strong communication skills and a collaborative, team-oriented mindset</li></ul>What You’ll Gain<ul><li>Ownership of meaningful, high-impact systems used across the organization</li><li>Opportunities to influence architecture, technical standards, and engineering practices</li><li>Hands-on work with modern cloud and AI technologies in real-world production use cases</li><li>Close partnership with stakeholders across engineering, data, and business teams</li></ul><div></div><div>SWIB Offers:</div><div></div><ul><li>Competitive total cash compensation, based on AON (formerly McLagan) industry benchmarks</li><li>Comprehensive benefits package</li><li>Educational and training opportunities</li><li>Tuition reimbursement</li><li>Challenging work in a professional environment</li><li>Hybrid work environment</li></ul><div></div><div>The position requires U.S. work authorization.</div><div></div><div>Pursuant to our Hybrid Remote Work Policy, all staff have the flexibility to work remotely, but are required to have a weekly presence in our offices, the frequency of which is dependent on their distance from office. Staff are not required to reside locally; however, we offer relocation reimbursement to the Dane County area per our policy.</div><div></div><div>All SWIB employees are subject to SWIB’s Ethics Policy and Personal Trade Approvals Policy. These policies include restrictions on outside business activities and employment and have limits on personal trading. You may request copies of these policies from SWIB’s talent acquisition team and any questions can be answered by SWIB’s compliance team.</div>

Senior Software Engineer

5+ years of software development; strong Python; SQL/NoSQL databases; cloud platforms (Azure/AWS/GCP); finance domain familiarity; AI/NLP/LLMs; strong collaboration.

Job Description:Data Engineer II- Promo Analytics **Applicants must be authorized to work in the U.S.; Sponsorship is not available for this position. **This role is Hybrid in Menomonee Falls, WIINNOVATE without boundaries! At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success—so we give you unlimited access to everything you need to provide support to your business unit. Behind our doors you&#39;ll be empowered every day to own it, drive it, and do what it takes to support the biggest breakthroughs in the industry. Meanwhile, you&#39;ll have the support and resources of the fastest-growing brand in the construction industry to make it happen.Your Role on Our Team:As a Data Engineer II, you will play a critical role in enabling fast, accurate, and scalable data‑driven decisions at Milwaukee Tool. You will help build and evolve the pipelines, models, and governance frameworks that power analytics for retail promotions and enterprise-wide initiatives. Partnering with business teams and Data Platform engineers, you will turn requirements into high‑quality data products using Databricks and modern cloud technologies. Your work ensures that teams have timely, reliable, and well‑structured data to support operational reporting, strategic insights, and advanced analytics.You’ll be DISRUPTIVE through these duties and responsibilities: <ul><li>Design and build scalable data pipelines to ingest, transform, and curate data from a variety of systems including APIs, databases, files, and event streams.</li><li>Review functional requirements &amp; design specs with Senior Data Engineers and business partners and converting to data transformations.</li><li>Implement and maintain data models such as dimensional models, star schemas, normalized models, and data vault approaches to support analytics and BI.</li><li>Work with Data Architects and Data Leads to optimize cloud‑based data platforms, ensuring performance, reliability, and cost‑efficient execution of data workloads.</li><li>Develop and enforce data quality checks, lineage, and monitoring to ensure accuracy, completeness, and trust in enterprise datasets.</li><li>Leverage your expertise within the software development lifecycle, continuous improvement, and best practices to help drive the team towards rapid success.</li><li>Automate and operationalize data pipelines using CI/CD, Infrastructure‑as‑Code, and modern orchestration tools.</li><li>Profile, tune, and optimize SQL, Python, and Spark workloads running in Databricks.</li><li>Author technical documentation, promote reusable components, and contribute to engineering standards and best practices.</li><li>Troubleshoot pipeline issues, participate in root‑cause analysis, and help maintain healthy, reliable data operations.</li><li>Performs other duties as assigned.</li></ul>The TOOLS you’ll bring with you:<ul><li>Bachelor’s degree in Computer Science, Information Systems or equivalent experience.</li><li>3–5 years of experience in data engineering or a related technical field.</li><li>Strong proficiency in SQL and a programming language such as Python (preferred).</li><li>Experience building and orchestrating data workflows in Databricks, including Delta Lake, notebooks, jobs, and workflows.</li><li>Hands‑on experience with distributed data processing technologies such as Apache Spark.</li><li>Experience with cloud data ecosystems (Azure, AWS, or GCP), especially Azure Databricks.</li><li>Familiarity with cloud data warehouses such as Snowflake, Synapse, Redshift, or BigQuery.</li><li>Experience working with structured and semi‑structured data (Parquet, Avro, JSON, Delta).</li><li>Strong understanding of version control (Git) and modern CI/CD workflows.</li><li>Strong problem‑solving, debugging, and analytical skills.</li><li>Ability to work effectively in agile, cross‑functional engineering teams.</li></ul>Other TOOLS we prefer you to have:<ul><li>Experience with Databricks Unity Catalog, Delta Live Tables, or Databricks Workflows.</li><li>DataOps experience (pipeline observability, monitoring, automated quality).</li><li>Knowledge of metadata management or cataloging platforms (Purview, Collibra, Alation).</li><li>Experience with ML pipelines and feature engineering in Databricks.</li><li>Familiarity with streaming frameworks (Kafka, Event Hubs, Kinesis) used with Spark Structured Streaming.</li><li>Knowledge and experience working in an Agile environment.</li><li>Experience working with retail product promotion data.</li></ul>Working Conditions: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.<ul><li>Frequently required to stand, walk, bend, stretch, reach, and effectively communicate with others in the workplace</li><li>Sitting for prolonged periods of time</li><li>Prolonged exposure to computer screens</li><li>Repetitive use of hands and fingers to operate office equipment, machinery, hand tools and/or power tools</li><li>Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus</li><li>May require to wear personal protective equipment which includes, but is not limited to, safety glasses, gloves, and hearing protection</li><li>May work in laboratories and/or controlled, enclosed, restricted areas</li><li>Noise levels range from moderate to loud</li><li>Must be able to lift up to 50 pounds at a time</li><li>May require travel dependent on company needs</li></ul>We provide these great perks and benefits: <ul><li>Robust health, dental and vision insurance plans</li><li>Generous 401 (K) savings plan</li><li>Education assistance</li><li>On-site wellness, fitness center, food, and coffee service</li><li>And many more, check out our benefits site <a href="https://www.milwaukeetool.jobs/Benefits" target="_blank">HERE</a>.</li></ul>Milwaukee Tool is an equal opportunity employer.

Data Engineer II-Promo Analytics

Data Engineer II

3–5 years data engineering; SQL and Python; Databricks; cloud data platforms (Azure/AWS/GCP); SQL optimization; agile teamwork.

Job Description:WE CREATE EMPOWERED LEADERS! At Milwaukee Tool, we firmly believe that our People and Culture drive our success. Our mission is to provide the tools, technology, and support you need to develop effective analytics solutions that make an impact.Your Role on Our TeamAs an Analytics Engineer II, you will help design, develop, and optimize scalable data solutions to drive business intelligence, advanced analytics, and informed decision-making. You will collaborate closely with data engineers, analysts, and business stakeholders to ensure data is well-modeled, accurate, and accessible.You will be self-motivated, innovative, and a strong collaborator, working with technical and business stakeholders - including teams located in other countries - to translate business needs into high-impact analytical solutions.You’ll be DISRUPTIVE through these duties and responsibilities:· Contribute to the design and development of data models, pipelines, and analytics solutions for reporting and dashboards.· Collaborate with global business teams, data engineers, and BI developers to ensure data is structured and accessible for analysis.· Apply and promote best practices in data modeling, governance, quality, and performance optimization.· Partner with stakeholders to translate requirements into scalable, efficient, and impactful solutions.· Support modern analytics architectures (e.g., cloud platforms, data lakes, ELT, and BI).· Collaborate with team members and seek opportunities to learn new tools and technologies.The TOOLS you’ll bring with you:· 2-4 years of experience in analytics engineering, data engineering, BI development, or related field.· Strong SQL skills with understanding of data modeling, warehousing concepts, and ETL/ELT processes.· Exposure to modern cloud data platforms (Azure Data Factory, Databricks, AWS, etc.).· Experience with scripting/programming languages such as Python, DAX, R, or similar.· Experience working with BI tools such as Power BI, Grafana, or Tableau.· Ability to work collaboratively with cross-functional and geographically distributed teams.· Strong analytical mindset and willingness to grow technical depth.Other TOOLS we prefer you to have:· Exposure to ERP/MRP/Order Mgmt platforms (Oracle, MS Dynamics, SAP, etc.).· Interest or basic knowledge of data governance, security, and compliance best practices.· Detail-oriented, proactive in embracing challenges, and committed to continuous learning.· Ability to travel internationally, up to 10% based on business needsWe provide these great perks and benefits:· Robust health, dental and vision insurance plans· Generous 401 (K) savings plan· Education assistance· On-site wellness, fitness center, food, and coffee service · And many more, check out our benefits site <a href="https://www.milwaukeetool.jobs/Benefits" target="_blank">HERE</a>.Note: Self driving with a strong entrepreneurial spiritMilwaukee Tool is an equal opportunity employer.

Analytics Engineer II-Operations

Analytics Engineer II

2-4 years in analytics/data/BI engineering; strong SQL; cloud data platforms; Python/DAX/R; BI tools (Power BI/Tableau/Grafana); team collaboration across geographies.

Help us change livesAt Exact Sciences, we’re helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you’re working to help others.Position OverviewThe Sr. Engineer, Machine Learning Operations, with minimal guidance, works independently and with cross‑functional partners—including biostatisticians, bioinformatics scientists, AI scientists, and software engineers—to deploy, operate, and scale machine learning solutions in production for advanced cancer screening and precision oncology applications. The role designs, builds, and maintains robust ML platforms and pipelines that ensure reliability, security, and compliance across the full model lifecycle—from data ingestion, model training, versioning and evaluation, through deployment, monitoring, and continuous improvement. This role serves as a key resource, applying in‑depth practical knowledge of ML Operations, software engineering, and cloud infrastructure to solve complex problems across multiple projects, ensuring AI/ML models are production-ready, observable, and aligned with the company&#39;s mission to help eradicate cancer.Essential DutiesInclude, but are not limited to, the following:<ul><li>Designs, implements, and maintains end‑to‑end MLOps pipelines for training, validation, deployment, and monitoring of ML and AI models used in cancer screening and precision oncology solutions.</li><li>Builds and operates scalable, secure ML infrastructure on cloud and container platforms (e.g., AWS/Azure/GCP, Docker, Kubernetes) to support batch and real‑time inference workloads.</li><li>Implements CI/CD workflows for ML (data, model, and code), including automated testing, packaging, and promotion of models across development, staging, and production environments.</li><li>Establishes and manages model and data versioning, experiment tracking, and lineage to ensure reproducibility, auditability, and effective model governance.</li><li>Develops and maintains monitoring, logging, and alerting for model performance, data quality, drift, and system health, defining and meeting SLOs/SLAs for critical ML services.</li><li>Collaborates with data scientists, bioinformatics and biostatistics partners, and software/platform engineering teams to translate experimental workflows into production‑grade services integrated into customer‑facing and internal applications.</li><li>Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.</li><li>Support and comply with the company’s Quality Management System policies and procedures.</li><li>Maintain regular and reliable attendance.</li><li>Ability to act with an inclusion mindset and model these behaviors for the organization.</li><li>Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 90% of a typical working day.</li><li>Ability to travel 5% of working time away from work location, may include overnight/weekend travel.</li></ul>Minimum Qualifications<ul><li>Bachelor’s Degree in a field related to essential duties; or Associates Degree and 2 years of relevant experience.; or High School Diploma or General Education Degree (GED) and 4 years of relevant experience.</li><li>5 years of relevant job-related experience.</li><li>Demonstrated experience with Python, at least one major ML framework (e.g., TensorFlow, PyTorch, scikit‑learn), containerization and orchestration technologies (e.g., Docker, Kubernetes), and a major cloud platform (e.g., AWS, Azure, GCP) supporting ML workloads.</li><li>Demonstrated ability to perform the essential duties of the position with or without accommodation.</li><li>Applicants must be currently authorized to work in country where work will be performed on a full or part-time basis. We are unable to sponsor or take over sponsorship of employment visas at this time. </li></ul>Preferred Qualifications<ul><li>2&#43; years of life sciences industry experience working with biological data.</li><li>2&#43; years of industry experience in molecular diagnostics, preferably cancer diagnostics.</li><li>Expertise in data mining approaches within healthcare settings generating insight from routinely collected healthcare data.</li><li>Scientific understanding of cancer biology</li><li>Strong programming ability in Python and experience with at least one major ML framework (e.g., TensorFlow, PyTorch, scikit-learn).</li><li>Hands-on experience deploying and operating machine learning models in production, including experience with CI/CD pipelines, model packaging, and automated deployment.</li></ul>#LI-CB1Salary Range:National Ranges: $ 123,000.00 - $209,000.00California Ranges: $152,000.00- $228,000.00 The annual base salary shown is a national range for this position on a full-time basis and may differ by hiring location. In addition, this position is bonus eligible. Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage. Learn more about our <a href="https://careers.exactsciences.com/benefits" target="_blank">benefits</a>.Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation, please contact us <a href="mailto:neo&#64;exactsciences.com?subject&#61;Exact%20Sciences%20Recruiting" target="_blank">here</a>.Not ready to apply? Join our <a href="http://exactsciences.wd1.myworkdayjobs.com/en-US/Exact_Sciences/introduceYourself" target="_blank">Talent Community</a> to stay updated on the latest news and opportunities at Exact Sciences.We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, and any other status protected by applicable local, state, or federal law.To view the Right to Work, E-Verify Employer, and Pay Transparency notices and Federal, Federal Contractor, and State employment law posters, visit our <a href="https://exactsciences.box.com/s/gj6pxvld7g6rnhvum3cttfdevppp34s2" target="_blank">compliance hub</a>. The documents summarize important details of the law and provide key points that you have a right to know.

Sr. Engineer, Machine Learning Operations

Senior Engineer, Machine Learning Operations

Design, deploy, and operate ML platforms; strong Python, ML frameworks, cloud, containers; 5+ years; travel; degree or equivalent.

Python Cloud Platform Developer Jobs in Fall River, WI, US | HiringCafe: every job on earth

Python Cloud Platform Developer Jobs in Fall River, WI, US

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