Explore 4 python aws developer jobs from 2 hiring companies in Kaukauna, WI, US. Filter by remote, salary, experience, and company, then open any listing to apply.

python-aws-developer

Python Aws Developer

Little Chute

Appleton

Kimberly

Menasha

Harrison

Neenah

Combined Locks

De Pere

Ashwaubenon

Green Bay

Oshkosh

Allouez

Howard

Bellevue

Hobart

Manitowoc

Wrightstown

Suamico

Fond du Lac

Python Aws Developer Jobs

Shopko Optical

Onsite

Onsite- Green Bay, WI. POSITION SUMMARY:Responsible for the development and maintenance of data pipeline infrastructures, ensuring the seamless flow of data for various needs within the organization. Work alongside data professionals, contributing to the design and implementation of data architectures that meet the evolving needs of the business. Support the transformation of raw data into usable information for analysts and other internal stakeholders. DUTIES AND RESPONSIBILITIES:DATA PIPELINE DEVELOPMENT&bull; Assist in building and maintaining data pipelines from internal databases and SaaS applications&bull; Support the development of ETL (Extract, Transform, Load) processes&bull; Assist in implementing data validation and quality checks to ensure accuracy and consistency&bull; Write clean, documented, and maintainable code following established standards DATA INFRASTRUCTURE SUPPORT&bull; Assist in maintaining databases, data warehouses, and data lake components&bull; Support the configuration and monitoring of data infrastructure&bull; Assist in troubleshooting basic data processing issues and escalate complex problems&bull; Participate in code reviews and incorporate feedback from senior engineers DATA INTEGRATION&bull; Assist with integrations from various data sources into the data ecosystem&bull; Assist in maintaining connections with internal and external APIs&bull; Support data ingestion processes for structured and unstructured data&bull; Document integration processes and data flow for transparency and standardization COLLABORATION &amp; DOCUMENTATION&bull; Create and maintain systems and process documentation&bull; Collaborate with various engineers and analysts to support their work&bull; Participate in team meetings and contribute to planning discussions&bull; Actively seek out learning opportunities and keep up with advancements in data engineering practices MINIMUM KNOWLEDGE, EXPERIENCE &amp; SKILLS REQUIREMENTS:&bull; Bachelor&rsquo;s degree in computer science, data engineering, information systems, or related field or equivalent experience&bull; 1 - 2 years of experience in data engineering, software development or related roles&bull; Experience using Python, Java, or Scala for data processing (Python preferred)&bull; Familiar with data-related Python packages (pandas, NumPy)&bull; Basic understanding of SQL and relational databases&bull; Basic knowledge of version control systems (Git)&bull; Understanding of data modeling fundamentals preferred&bull; Knowledge of Linux/UNIX operating systems preferred&bull; Exposure to cloud platforms (AWS, Azure,or Google Cloud Platform)&bull; Able to take direction, prioritize work, and manage multiple activities simultaneously&bull; Excellent communication skills&bull; Able to work independently and as part of a team&bull; Willing to share knowledge and experience with other members of the team&bull; Strong analytical and problem-solving skills&bull; Attention to detail and commitment to data quality&bull; Solid planning and organizational skills&bull; Proficiency with Microsoft Office Suite of programs ESSENTIAL FUNCTIONS &amp; WORK REQUIREMENTS:&bull; Ability to effectively communicate at all levels within the organization through written and two-way verbal communication&bull; Able to read and write at a high school graduate level&bull; Able to sit or stand for extended periods of time&bull; Able to operate various office equipment (e.g., personal computer, telephone, fax machine, copier, etc.)&bull; Able to lift 10 to 20 pounds&bull; Able to work overtime and regular and/or extended (evenings, nights, and weekends) office hours to meet established deadlines&bull; Able to travel independently to support Company objectives and personal development These statements are intended to describe the general nature and level of work performed by teammates assigned to this job classification. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required.

Data Engineer I 

Entry-level data engineer; 1-2 years in data engineering/software development; Python/Java/Scala; SQL; Git; Linux; cloud exposure; strong communication.

POSITION SUMMARY:Responsible for independently designing, building, and maintaining scalable data pipelines and infrastructure to support company data-driven initiatives. Take ownership of complex data systems, implement best practices, and collaborate closely with cross- functional teams to ensure the availability, reliability, and performance of the organizations data platform.DUTIES AND RESPONSIBILITIES:DATA PIPELINE DEVELOPMENT&bull; Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data&bull; Develop robust ETL/ELT processes to integrate data from diverse sources into the data ecosystem&bull; Implement data validation and quality checks to ensure accuracy and consistency&bull; Build analytical tools that provide practical insights into key business performance indicators&bull; Conduct code reviewsDATA MODELING &amp; ARCHITECTURE&bull; Design and maintain data models, schemas, and database structures to support analytical and operational use cases&bull; Optimize data storage and retrieval mechanisms for performance and scalability&bull; Evaluate and implement data storage solutions including relational databases, NoSQL databases, data lakes, and cloud storage services&bull; Generate architecture recommendations and implement improvementsDATA INFRASTRUCTURE MANAGEMENT&bull; Configure and manage data infrastructure components including databases, data warehouses, data lakes, and distributed computing frameworks&bull; Monitor system performance, troubleshoot issues, and implement optimizations&bull; Implement data security controls and access management policies&bull; Plan and execute system expansion to support company growth and analytic needDATA INTEGRATION AND API DEVELOPMENT&bull; Build and maintain integrations with internal and external data sources and APIs&bull; Implement RESTful APIs and web services for data access and consumption&bull; Ensure compatibility and interoperability between different systems and platforms&bull; Work with SaaS application APIs (Salesforce, Zuora, Zendesk, Marketo) COLLABORATION &amp; LEADERSHIP&bull; Collaborate with internal and external data scientists, analysts, and stakeholders to understand requirements and deliver solutions&bull; Document technical designs, workflows, and best practices&bull; Provide technical guidance and support to team members&bull; Perform technical interviews and contribute to hiring decisions MINIMUM KNOWLEDGE, EXPERIENCE &amp; SKILLS REQUIREMENTS:&bull; Bachelor&rsquo;s degree in computer science, data engineering, information systems, or related field or equivalent experience; master&rsquo;s degree preferred&bull; 5+ years of hands-on experience in data engineering or related roles&bull; Professional experience using Python, Java, or Scala for data processing&bull; Solid understanding of SQL and analytical data warehouses (Snowflake, Redshift)&bull; Hands-on experience implementing ETL/ELT best practices at scale&bull; Experience with data pipeline tools (Airflow, Luigi, Azkaban, dbt)&bull; Strong data modeling skills and familiarity with Kimball methodology&bull; Experience with big data technologies (Hadoop, Spark, Kafka, Hive)&bull; Proficiency with cloud platforms (AWS, Azure, or GCP) and their data services&bull; Experience with stream-processing systems preferred&bull; Knowledge of Data Lifecycle Management processes preferred&bull; Familiarity with Agile methodologies preferred&bull; Understanding of data governance and security best practices&bull; Relevant certifications (Google Professional Data Engineer, AWS Data Analytics, Cloudera CCP)&bull; Excellent communication skills&bull; Able to work independently and as part of a team&bull; Willing to share knowledge and experience with other members of the team&bull; Strong analytical and problem-solving skills&bull; Attention to detail and commitment to data quality&bull; Solid planning and organizational skills&bull; Proficiency with Microsoft Office Suite of programsESSENTIAL FUNCTIONS &amp; WORK REQUIREMENTS:&bull; Ability to effectively communicate at all levels within the organization through written and two-way verbal communication&bull; Able to read and write at a high school graduate level&bull; Able to sit or stand for extended periods of time&bull; Able to operate various office equipment (e.g., personal computer, telephone, fax machine, copier, etc.)&bull; Able to lift 10 to 20 pounds&bull; Able to work overtime and regular and/or extended (evenings, nights, and weekends) office hours to meet established deadlines&bull; Able to travel independently to support Company objectives and personal development These statements are intended to describe the general nature and level of work performed by teammates assigned to this job classification. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required.

Data Engineer II

Data Engineer

5+ years data engineering; BS in CS/IS/Data Engineering; Python/Java/Scala; SQL; ETL/ELT; Airflow/dbt; cloud data services; data modeling; big data tech; strong communication.

Design, build, and maintain scalable data pipelines and infrastructure; model data; manage data integration and APIs; collaborate with cross-functional teams.

At Oshkosh, we build, serve and protect people and communities around the world by designing and manufacturing some of the toughest specialty trucks and access equipment. We employ over 18,000 team members all united by a common purpose. Our engineering and product innovation help keep soldiers and firefighters safe, is critical in building and keeping communities clean and helps people do their jobs every day.<div><div>Server Engineer - Lead (Enterprise Compute and Virtualization) Enterprise infrastructure role focused on Intel-based compute, virtualization operations, automation, and adjacent technology integration. </div><div>The Server Engineer - Lead is a senior technical contributor responsible for architecting, operating, and optimizing Oshkosh Corporation&#39;s enterprise compute and virtualization ecosystem. This role ensures the security, stability, scalability, and lifecycle management of a large fleet of Intel-based server hardware and virtual infrastructure built on VMware and other hypervisors that support critical manufacturing, ERP, engineering, and enterprise business applications across data center and hybrid cloud environments.     The successful candidate will combine deep expertise in enterprise server hardware, virtualization, automation, and infrastructure operations to drive operational excellence, standardization, resiliency, and modernization. They will be accountable for the full compute platform stack, from hardware strategy and firmware governance to virtualization design, performance optimization, capacity planning, and operational support, while advancing automation, monitoring, and platform engineering practices that improve reliability and efficiency at scale.   </div><div> </div><div><h2>Enterprise Compute and Virtualization Platform Management </h2><ul><li>Lead the architecture, implementation, lifecycle management, and operational support of Oshkosh&#39;s large-scale enterprise compute environment, including Intel-based server platforms and virtualization platforms based on VMware and other hypervisors. </li><li>Manage server hardware standards, platform design, firmware strategy, host lifecycle management, and infrastructure refresh planning across the enterprise. </li><li>Oversee the health, performance, availability, and capacity of virtualization environments, including hypervisor hosts, management platforms, clusters, distributed resource scheduling, and high availability configurations. </li><li>Design and maintain resilient compute and virtualization solutions that support mission-critical enterprise workloads with strong emphasis on uptime, recoverability, and operational consistency. </li><li>Partner with storage, networking, backup, security, and application teams to ensure end-to-end performance and reliability of hosted workloads. </li><li>Establish and maintain operational standards for provisioning, patching, upgrades, host remediation, and configuration consistency across the compute estate. </li></ul><h2></h2><h2>Infrastructure Operations and Platform Reliability </h2><ul><li>Serve as a senior escalation point for complex server hardware and virtualization incidents, leading root-cause analysis and restoration efforts for critical platform issues. </li><li>Drive proactive management of system health, resource utilization, hardware events, performance bottlenecks, and operational risks across the compute environment. </li><li>Lead capacity planning and performance optimization efforts for compute, memory, clustering, and virtualization resources to support current and future business demand. </li><li>Oversee platform resilience through design and support of high-availability, fault-tolerant, and disaster recovery aligned infrastructure services. </li><li>Ensure enterprise operational readiness for maintenance events, lifecycle transitions, incident response, and business continuity requirements. </li></ul><h2></h2><h2>Automation and Infrastructure-as-Code </h2><ul><li>Architect and maintain automated workflows using tools such as Ansible, Terraform, PowerCLI, and scripting languages such as PowerShell or Python for provisioning, configuration management, patching, and compliance activities. </li><li>Build and enhance automation for hypervisor host deployment, cluster configuration, lifecycle management, and policy enforcement. </li><li>Codify operational procedures and infrastructure standards into repeatable, auditable automation workflows to reduce manual effort and improve consistency. </li><li>Support infrastructure change through automated validation, testing, and deployment processes that improve quality and reduce risk. </li></ul><h2></h2><h2>Virtualization Ecosystem and Modern Platform Integration </h2><ul><li>Lead engineering and administration of virtualization platforms, including core hypervisor services, cluster design, host profiles, virtual networking coordination, and integration with enterprise storage and backup platforms. </li><li>Maintain deep expertise in Vmware, as well as other hypervisors and technologies that make up Oshkosh&#39;s enterprise compute portfolio. </li><li>Maintain familiarity with adjacent technologies supporting the virtual infrastructure ecosystem, including hyperconverged platforms, disaster recovery tooling, monitoring systems, VMware Aria Operations, container platforms, and hybrid cloud extensions where applicable. </li><li>Maintain familiarity with public cloud compute services and how enterprise workloads, recovery strategies, and management practices may extend into Azure, AWS, or similar environments as part of a broader infrastructure portfolio. </li><li>Collaborate with platform, cloud, and application teams to support evolving infrastructure patterns, including integration with private cloud and container-hosting platforms where virtual infrastructure is foundational. </li><li>Provide technical leadership on modernization opportunities that improve efficiency, scalability, recoverability, and operational simplicity across the enterprise compute platform. </li></ul><h2></h2><h2>Monitoring, Visibility, and Operational Insight </h2><ul><li>Maintain and enhance platform visibility through enterprise monitoring, alerting, and performance analytics tools, including VMware Aria Operations, Grafana, and related ecosystem tooling, to support rapid issue detection and response. </li><li>Establish dashboards, alert thresholds, and operational reporting for server hardware health, virtualization performance, resource consumption, capacity trends, and availability. </li><li>Use telemetry, trend analysis, and platform insights to inform capacity decisions, lifecycle planning, and service improvement initiatives. </li><li>Partner with enterprise monitoring and operations teams to improve actionable insight across the compute and virtualization landscape. </li></ul><h2>Collaboration and Leadership </h2><ul><li>Serve as a subject matter expert and technical leader for enterprise server hardware and virtualization technologies. </li><li>Mentor junior engineers and help establish best practices for compute operations, virtualization engineering, automation, lifecycle management, and operational monitoring. </li><li>Collaborate cross-functionally with infrastructure, security, architecture, and application stakeholders to align platform capabilities with business priorities. </li><li>Contribute to strategic planning, roadmaps, standards development, and investment recommendations for enterprise compute and virtualization services. </li></ul>YOUR IMPACT</div>The Server Engineer - Lead is essential to ensuring the stability, performance, and evolution of Oshkosh&#39;s enterprise compute and virtualization ecosystem. By combining deep server expertise with strong knowledge of VMware, VMware Aria Operations, and other hypervisors, along with operational leadership and automation discipline, this role drives reliability, standardization, and scalability across one of the company&#39;s most critical infrastructure foundations. This position is a cornerstone of modern infrastructure operations, balancing day-to-day platform resilience with the engineering rigor required to support future growth, modernization, and digital transformation. An advance understanding of multiple server aspects and environment in order to take ownership of most aspects from end to end.  <div><div><ul><li>Other duties as assigned.  </li></ul></div></div><div><div><ul><li>Regular attendance is required. </li></ul></div></div><div></div></div><div><div>MINIMUM QUALIFICATIONS</div><div><ul><li>Five (5) or more years of experience in the field or in a related area. </li></ul></div><div><ul><li>Monitoring, troubleshooting, customer service, problem solving, cross team collaboration, risk analysis, analytical, operating systems, hardware, infrastructure design, scripting </li></ul></div><div><ul><li>Strong communication, time management, problem solving, teamwork, leadership, mentoring, project management, business acumen, requirements gathering, planning. </li></ul></div><div>  </div><div>STANDOUT QUALIFICATIONS</div><div><ul><li>Experience: 7&#43; years administering and architecting enterprise server infrastructure and virtualization environments at scale. </li><li>Technical Expertise: Deep understanding of Intel-based enterprise server hardware, VMware vSphere, ESXi, vCenter, VMware Aria Operations, and comparable virtualization platforms, including clustering, virtualization performance tuning, and infrastructure lifecycle management. </li><li>Platform Operations: Strong experience managing large virtualized environments supporting mission-critical enterprise applications in a highly available and regulated setting. </li><li>Automation: Proficiency with Ansible, Terraform, PowerCLI, and scripting languages such as PowerShell or Python for infrastructure automation and operational efficiency. </li><li>Hardware Lifecycle Management: Experience with firmware baselines, hardware compatibility, server provisioning, vendor interoperability, and compute platform refresh strategy. </li><li>Ecosystem Knowledge: Strong understanding of integration points across compute, storage, networking, backup, disaster recovery, identity, monitoring, and container platforms. </li><li>Container Familiarity: Familiarity with container management platforms and how virtual infrastructure supports solutions such as OpenShift, Kubernetes, or similar enterprise container ecosystems. </li><li>Public Cloud Familiarity: Working familiarity with public cloud compute services and adjacent infrastructure patterns in Azure, AWS, or similar environments, with understanding of how they complement enterprise data center operations. </li><li>Monitoring and Reliability: Experience with enterprise monitoring, alerting, and operational visibility platforms used to manage compute and virtualization health and performance, including VMware Aria Operations or similar platforms. </li><li>Leadership: Demonstrated ability to lead complex infrastructure initiatives, mentor technical staff, and drive cross-functional operational improvements. </li><li>Soft Skills: Strong analytical, communication, and problem-solving skills with a focus on platform stability, scalability, and continuous improvement. </li></ul></div></div>Pay Range: $92,600.00 - $154,400.00<div><div><div><div><div><div><div>The above pay range reflects the minimum and maximum target pay for the position across all U.S. locations. Within this range, individual pay is determined by various factors, including the scope and responsibilities of the role, the candidate&#39;s experience, education and skills, as well as the equity of pay among team members in similar positions. Beyond offering a competitive total rewards package, we prioritize a people-first culture and offer various opportunities to support team member growth and success.</div></div></div></div></div></div></div>Oshkosh is committed to working with and offering reasonable accommodation to job applicants with disabilities. If you need assistance or an accommodation due to disability for any part of the employment process, please contact us at corporatetalentacquisition&#64;oshkoshcorp.com.Oshkosh Corporation is a merit-based Equal Opportunity Employer. Job opportunities are open for application to all qualified individuals and selection decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or other protected characteristic. To the extent that information is provided or collected regarding categories as provided by law it will in no way affect the decision regarding an employment application.Oshkosh Corporation will not discharge or in any manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Oshkosh Corporation&#39;s legal duty to furnish information.Certain positions with Oshkosh Corporation require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be &#34;U.S. Persons,&#34; as defined in these regulations. Generally, a &#34;U.S. Person&#34; is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum.

Digital Technology Server Engineer Lead

Server Engineer Lead

5+ years in server infrastructure and virtualization; strong automation, monitoring, and cross-team collaboration.

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