<p>Robert Half is seeking a <strong>Senior COBOL Mainframe Developer </strong>with AWS experience to support an established insurance and financial services organization. This role focuses on building APIs and integration layers to expose data from legacy mainframe systems, while supporting ongoing maintenance (KTLO) and new capability development.</p><p> </p><p>If you feel this aligns with your background, apply today!</p><p> </p><p>Schedule: Core availability 9:00 AM – 3:00 PM PST</p><p>Duration: 6-month contract, likely to extend or convert</p><p>Location: 100% Remote</p><p>Pay rate: $60-$65/hourly</p><p> </p><p><em>Candidates must be authorized to work in the U.S. without the need for sponsorship.</em></p><p> </p><p><strong>Job Duties:</strong></p><ul><li>Develop, enhance, and maintain IBM mainframe applications supporting legacy insurance and retirement systems</li><li>Build and support APIs and integration layers to expose mainframe data and functionality to downstream platforms</li><li>Maintain and enhance COBOL-based systems, including batch processing and online transactions</li><li>Support KTLO (Keep the Lights On) work, production stability, and ongoing system maintenance</li><li>Design and implement AWS-based solutions as needed to support integrations and platform capabilities</li><li>Participate in technical design discussions to ensure system reliability, scalability, and long-term stability</li><li>Contribute to new capability development on top of existing legacy systems (not net-new policy platforms)</li></ul>
<p>Robert Half is seeking an experienced <strong>Senior Data Engineer</strong> to support a <strong>law firm based in Seattle, Washington</strong> with the continued development and modernization of its enterprise data environment. This role will focus heavily on <strong>Databricks, dimensional modeling, PySpark, and Unity Catalog</strong>, with responsibility for ingesting, transforming, and preparing data from multiple enterprise systems for reporting and analytics.</p><p> </p><p><strong>Duration:</strong> 6-month contract</p><p><strong>Location:</strong> 100% Remote – preferred to work PST or CST</p><p><strong>Pay rate: </strong>$65-$75/hour (W2)</p><p> </p><p><strong>Responsibilities</strong></p><ul><li>Design, develop, and maintain scalable data pipelines and data models within <strong>Databricks</strong>.</li><li>Build and optimize <strong>dimensional data models</strong> to support enterprise reporting and analytics.</li><li>Develop data transformation and processing workflows using <strong>PySpark</strong>.</li><li>Ingest data from enterprise source systems, including <strong>Workday, Elite/Elite 3E, and Salesforce</strong>.</li><li>Move data through the <strong>Medallion Architecture</strong>, including Bronze, Silver, and Gold layers.</li><li>Clean, normalize, transform, and prepare source data for downstream analytics and reporting.</li><li>Utilize <strong>Unity Catalog</strong> to support data governance, security, organization, and access management.</li><li>Prepare curated datasets for consumption and reporting within <strong>Power BI</strong>.</li><li>Partner with business and technical stakeholders to understand reporting needs and demonstrate data within Power BI.</li><li>Troubleshoot data connectivity and integration issues involving <strong>APIs, Postman, firewall rules, and certificates</strong>.</li><li>Ensure data pipelines and models are scalable, reliable, and aligned with data engineering best practices.</li></ul><p><br></p>
<p>Robert Half is seeking an experienced <strong>Data Virtualization Engineer with strong Denodo expertise</strong> to support a<strong> </strong>law firm and its growing data and analytics initiatives. This role will focus on building and optimizing data services, integrating information from multiple enterprise platforms, and creating the interface layer that enables meaningful virtualization and reporting across the firm. A key area of focus will be supporting analytics related to AI tool adoption and usage, helping business and technology leaders gain visibility into how AI technologies are being utilized across legal and operational teams.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Design, develop, and maintain data views and data services within the Denodo platform.</li><li>Connect and integrate data from multiple enterprise systems, including ERP, CRM, HRIS, and other business applications.</li><li>Build and manage base views, derived views, and interface views.</li><li>Create and maintain data virtualization solutions that support reporting and visualization initiatives.</li><li>Develop and troubleshoot API integrations, including authentication methods such as OAuth and Basic Authentication.</li><li>Validate and test integrations using Postman, Swagger, and related tools.</li><li>Investigate and resolve data connectivity and API-related issues.</li><li>Partner with business leaders and end users to understand reporting requirements and deliver scalable data solutions.</li><li>Support visualization and analytics efforts related to AI tool usage, adoption metrics, and operational reporting.</li></ul>