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2 results for Systems Engineer in Waupaca, WI
- Waupaca, WI
- onsite
- Permanent / Full Time
- 100000 - 130000 USD / Yearly
- <p>Robert Half is recruiting for an experienced Systems Engineer (Infrastructure) to join a collaborative IT team supporting a large enterprise server environment. This role is ideal for someone who enjoys working across virtualization, Windows infrastructure, automation, and data center technologies while helping drive modernization initiatives.</p><p><br></p><p>You'll play a key role in maintaining and improving critical infrastructure systems, supporting ongoing projects, and helping ensure a highly available and reliable environment.</p><p><br></p><p><strong>What You'll Do</strong></p><ul><li>Manage and support enterprise server infrastructure across multiple data centers.</li><li>Build, configure, and maintain physical and virtual servers.</li><li>Administer Windows Server environments and core infrastructure services.</li><li>Support virtualization platforms including Nutanix and VMware.</li><li>Monitor system performance and troubleshoot complex infrastructure issues.</li><li>Develop and improve PowerShell automation and operational processes.</li><li>Partner with Security, Network, and other IT teams on infrastructure initiatives.</li><li>Participate in infrastructure modernization and cloud adoption projects.</li><li>Support business continuity, disaster recovery, patching, and system reliability efforts.</li><li>Create and maintain technical documentation and operational standards.</li><li>Serve as an escalation point for advanced infrastructure issues.</li></ul><p><br></p>
- 2026-08-27T00:00:00Z
- Appleton, WI
- onsite
- Temporary to Hire
- 57 - 70 USD / Hourly
- We are looking for an experienced Data Engineer to join a construction and contractor-focused organization in Appleton, Wisconsin. This contract opportunity with potential for a permanent role is ideal for a senior-level candidate who enjoys building scalable cloud-based data platforms, working hands-on with Python and notebook-driven development, and applying AI-enabled tools to create practical business solutions. The role will focus on designing modern data lake capabilities, improving data movement and transformation processes, and partnering with stakeholders to deliver reliable analytics infrastructure.<br><br>Responsibilities:<br>• Design, build, and enhance modern data lake architecture in Google Cloud Platform to support scalable and efficient data operations.<br>• Develop robust data pipelines using Python, SQL, Spark, and ETL frameworks to ingest, transform, and prepare data from multiple sources.<br>• Create and maintain notebook-based solutions that demonstrate clear technical approaches, reusable logic, and well-documented project outcomes.<br>• Integrate large-scale data processing technologies such as Hadoop and Kafka to support high-volume and streaming data workloads.<br>• Collaborate with cross-functional teams to translate business needs into data engineering solutions that improve reporting, analytics, and operational decision-making.<br>• Apply AI-driven tools and approaches to accelerate development, improve solution quality, and deliver innovative customer-focused outcomes.<br>• Support cloud data environments that may include Azure Data Lake and related platforms as part of broader enterprise data initiatives.<br>• Contribute to data platform improvements, including work connected to enterprise tool adoption or internal platform changes when needed.
- 2026-08-18T00:00:00Z