We are looking for an experienced Lead Platform Engineer, Snowflake to help shape and support enterprise data platforms in New York, New York. This contract opportunity is ideal for someone who combines deep Snowflake knowledge with broad experience across cloud-based and traditional database environments. The person in this role will guide platform reliability, security, and performance while partnering with technical teams on architecture, modernization, and data movement initiatives.<br><br>Responsibilities:<br>• Lead the administration, configuration, and ongoing support of Snowflake environments to ensure stability, security, and strong performance.<br>• Improve platform efficiency by analyzing workloads, tuning queries, and optimizing storage and compute usage across large-scale data ecosystems.<br>• Partner with engineering and data teams to design scalable data architectures and support effective data modeling practices.<br>• Oversee database operations across multiple platforms, including Microsoft SQL Server and PostgreSQL, within cloud-based environments such as AWS.<br>• Drive data migration efforts and help implement platform enhancements that improve reliability, maintainability, and long-term scalability.<br>• Provide technical leadership to the team by mentoring engineers, reviewing solutions, and guiding best practices across the data platform landscape.<br>• Develop and maintain automation, scripts, or tooling in Python to streamline operational tasks and support platform management.<br>• Use Git-based workflows to manage changes, support collaboration, and maintain version control across engineering deliverables.
<p>Robert Half is hiring! We are looking for a Senior Software Engineer to build and evolve data-driven platforms that turn complex information into reliable, usable products. In this role, you will create resilient systems that process diverse data sources, support application experiences, and improve how information is stored, accessed, and delivered. You will work closely with teammates to shape engineering practices, solve production issues, and deliver iterative improvements that keep customer value at the center of development.</p><p><br></p><p>Experience with large unstructured data sets is a must. </p><p><br></p><p>Responsibilities:</p><p>• Architect and develop scalable pipelines that collect, normalize, and transform structured and unstructured data from varied sources into formats ready for analytics and AI use cases.</p><p>• Build production-ready services with strong observability, dependable error handling, and ongoing performance tuning to support reliability at scale.</p><p>• Improve database and search-layer design across relational and document-oriented systems to balance speed, efficiency, and operating cost.</p><p>• Develop APIs and data access components that connect core data platforms with downstream application functionality in a clean and maintainable way.</p><p>• Lead feature development across the full lifecycle, from initial ingestion and backend processing through delivery of end-user capabilities.</p><p>• Investigate operational alerts, trace issues to underlying causes, and implement corrective actions that prevent repeat incidents.</p><p>• Partner with engineering leadership and cross-functional teammates to define sound data engineering standards, maintain useful technical documentation, and promote knowledge sharing.</p><p>• Make pragmatic engineering decisions by prioritizing customer outcomes and adjusting approach when added complexity does not create meaningful value.</p><p>• Deliver enhancements in incremental releases, using continuous iteration to steadily strengthen product quality and impact.</p>
<p>A leading infrastructure and transportation group is seeking a hands-on Senior Data Engineer to architect and build our next-generation Enterprise Reporting & Data Warehouse (ERDW.Next) on Databricks. Acting as the hands-on technical owner, you will drive target-state design, medallion architecture (Delta Lake), and legacy migrations off SQL Server/Synapse while remaining actively in the codebase. You will partner with our Enterprise Architect, Power BI team, business users, and offshore delivery partners across finance, construction, and safety domains.</p><p><br></p><p><strong>QUALIFIED CANDIDATES SHOULD HAVE EXPERIENCE WITH:</strong></p><ul><li>Serving as a Databricks SME</li><li>ERP integrations (strong plus)</li><li>Python / PySpark</li><li>Performance tuning and optimization</li><li>Databricks maintenance, including VACUUM</li><li>Data governance and best practices</li><li>Semantic modeling</li></ul><p><br></p><p><strong>RESPONSIBILITIES</strong></p><ul><li><strong>Architecture & Strategy:</strong> Design the ERDW.Next lakehouse (medallion/gold layer star schema) and govern data modeling, batch/streaming, and Delta Live Tables standards.</li><li><strong>Build & Migration:</strong> Write production-grade PySpark, Spark SQL, and Delta Live Tables pipelines orchestrated via Databricks Workflows. Re-engineer legacy SSIS/T-SQL/Synapse logic and ingest ERP data (JD Edwards, Anaplan) using CDC and Auto Loader.</li><li><strong>Platform Operations:</strong> Optimize cost/performance using Photon, Liquid Clustering, and OPTIMIZE. Manage CI/CD pipelines via Git and Databricks Asset Bundles while maintaining strict SLAs.</li><li><strong>Governance & AI:</strong> Implement Unity Catalog governance (entitlements, lineage, audit) and curate Databricks Genie Agents for natural-language analytics.</li><li><strong>Partner & Legacy Management:</strong> Support legacy platforms during transition and maintain code quality standards across offshore partner teams. Leverage agentic AI coding tools safely to accelerate delivery.</li></ul><p><br></p>
<p>Our team is seeking a Senior Software Engineer to play a crucial role in advancing our core healthcare IT systems through the development of scalable and secure software solutions. As a senior individual contributor, this position involves working closely with other engineering team leaders to architect robust backend systems, guide technical direction, and enhance software delivery processes.</p><p><br></p><p><strong>*** US Citizen or Permanent Green Card holder currently residing in the US only ... No exceptions ***</strong></p><p><br></p><p><strong>Keys to the Role:</strong></p><ul><li>Deep understanding of the .net ecosystem</li><li>Experience with distributed systems</li><li>Experience with high volume throughput</li><li>Performance analysis</li><li>Experience troubleshooting an enterprise level application</li></ul><p><strong>Essential Functions: </strong></p><ol><li>Take a technical leadership role in building and scaling national-scale healthcare data exchange systems</li><li>Deliver extremely reliable, scalable, and observable software capable of supporting massive transaction volumes</li><li>Lead architecture and implementation of highly scalable, API-driven systems powering healthcare data exchange at scale</li><li>Provide practical, balanced technical guidance—considering both engineering best practices and business priorities</li><li>Guide design decisions on fault tolerance, throughput optimization, and system resilience</li><li>Contribute to CI/CD pipeline improvements to maintain quality while accelerating delivery</li><li>Collaborate with product and implementation teams to shape technical execution</li><li>Document technical designs, workflows, and release notes for cross-team and customer consumption</li><li>Participate in and lead design and code reviews</li><li>Mentor engineers through pairing, design discussions, and pull request feedback</li></ol>
<p><strong><em></em></strong>We are looking for an Analytics Application Engineer to support and advance an internal reporting platform serving teams in River Edge, New Jersey. This position blends application engineering, data integration, and analytics development to deliver reliable dashboards and actionable operational insights. The ideal candidate will be comfortable working across the full stack, from syncing source-system data into a reporting database to shaping intuitive web-based reporting experiences for internal stakeholders.</p><p><br></p><p><strong>Responsibilities:</strong></p><p>• Develop, support, and improve a custom Next.js application that provides interactive dashboards, reusable reports, and performance metrics for internal teams.</p><p>• Oversee the TypeScript-based data ingestion process that brings Salesforce and Litify information into PostgreSQL, with a focus on accuracy, consistency, and timely updates.</p><p>• Structure and maintain the reporting database environment, including curated views, application-managed tables, historical metric records, and dashboard settings.</p><p>• Administer deployments and recurring platform operations through Firebase hosting and GitHub Actions, while monitoring job health and resolving processing issues.</p><p>• Configure and maintain authentication and authorization controls in Firebase to protect access to internal reporting tools.</p><p>• Partner with business stakeholders to convert reporting needs into efficient queries, scalable data models, and user-friendly dashboard designs.</p><p>• Investigate data or application issues across the reporting stack and implement fixes that improve reliability and performance.</p>
<p>A leading infrastructure and transportation services group is seeking a Senior Power BI Developer to design and own our enterprise semantic layer and deliver high-impact reporting for the Enterprise Reporting & Data Warehouse (ERDW) platform. This hands-on role sets the standard for data modeling, DAX, and report performance—turning complex data from Databricks and other sources into accurate, trusted insights that drive executive business decisions.</p><p><br></p><p><strong>Keys to the Role:</strong></p><p><strong></strong></p><ul><li>Hands-on experience with enterprise data platforms like <strong>Databricks</strong> or <strong>Snowflake</strong>.</li><li>Proficiency in <strong>semantic modeling</strong> and writing advanced <strong>DAX</strong> queries.</li><li>Proven track record of designing and deploying <strong>paginated reports</strong> (pixel-perfect reporting).</li><li>Direct experience executing full-scale ecosystem <strong>migrations to Databricks and Power BI</strong>.</li></ul><p><br></p><p><strong>RESPONSIBILITIES:</strong></p><p><br></p><ul><li><strong>Semantic Layer & DAX:</strong> Design enterprise-grade star-schema semantic models. Build advanced DAX measures, calculation logic, time intelligence, and calculation groups.</li><li><strong>Reporting & UX:</strong> Build interactive dashboards and paginated, print-ready reports (Power BI Report Builder/PBIRS via XMLA endpoints). Apply WCAG accessibility and responsive design.</li><li><strong>CI/CD & DevOps:</strong> Manage Power BI projects using PBIP format in source control (Azure DevOps/GitHub). Maintain Git-integrated workspaces, deployment pipelines, and automated validation.</li><li><strong>Performance & Governance:</strong> Optimize performance via VertiPaq analysis, query folding, aggregations, incremental refresh, composite models, and DAX tuning. Enforce RLS/OLS, sensitivity labels, capacity management, and endorsements.</li><li><strong>Data Integration & Strategy:</strong> Partner with Data Engineering to shape data from Databricks and Microsoft Fabric using Power Query/M and SQL. Define BI standards, document data lineage, mentor developers, and leverage AI-assisted development tools.</li></ul><p><br></p>