Search jobs now Find the right job type for you Create a job alert Explore how we help job seekers Contract talent Full-Time talent Learn how we work with you Executive search Finance and Accounting Technology Marketing and Creative Legal Administrative and Customer Support Technology Risk, Audit and Compliance Finance and Accounting Digital, Marketing and Customer Experience Legal Operations Human Resources 2026 Salary Guide Demand for Skilled Talent Report Job Market Outlook Press Room Tech insights Labor market overview AI in recruiting Navigating the AI era Staffing for small businesses Cost of a bad hire Browse jobs Find your next hire Our locations

Add your latest resume to match with open positions.

3 results for Cloud Computing Analyst in White Plains, NY

Senior Data Engineer (Databricks)
  • Morristown, NJ
  • remote
  • Permanent / Full Time
  • 120000 - 145000 USD / Yearly
  • <p>A leading infrastructure and transportation group is seeking a hands-on Senior Data Engineer to architect and build our next-generation Enterprise Reporting &amp; 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 &amp; 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 &amp; 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 &amp; AI:</strong> Implement Unity Catalog governance (entitlements, lineage, audit) and curate Databricks Genie Agents for natural-language analytics.</li><li><strong>Partner &amp; 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>
  • 2026-09-08T00:00:00Z
NICE CXone Engineer (Hybrid)
  • River Edge, NJ
  • onsite
  • Permanent / Full Time
  • 75000 - 90000 USD / Yearly
  • <p>We are looking for a NICE CXone Engineer to support and enhance contact center technology operations for a legal organization in River Edge, New Jersey. This role focuses on building efficient call flows, improving platform performance, and strengthening communication systems that support intake and pre-litigation teams. The ideal candidate brings hands-on experience with CXone, RingCentral, automation, and analytics, along with the ability to translate technical solutions into measurable business results.</p><p><br></p><p><strong>Responsibilities:</strong></p><p><br></p><p>• Create and refine contact center routing frameworks, including queue structures, skill-based distribution, and call path logic to improve service efficiency.</p><p>• Build, test, and support CXone Studio scripts and automated workflows that streamline daily operations and reduce manual effort.</p><p>• Manage RingCentral configuration and maintain reliable integrations between telephony tools and connected business systems.</p><p>• Analyze platform data and reporting trends to identify opportunities for stronger performance across intake, pre-litigation, and related functions.</p><p>• Develop and optimize outbound dialing strategies and campaign settings to improve reach, responsiveness, and conversion outcomes.</p><p>• Introduce AI-driven features and process automation that increase team productivity and accelerate response times.</p><p>• Partner with operational leaders and frontline users to deliver training, promote adoption, and ensure effective use of contact center tools.</p><p>• Continuously assess system performance and implement enhancements that improve scalability, reliability, and user experience.</p>
  • 2026-08-19T00:00:00Z
Lead Platform Engineer, Snowflake
  • New York, NY
  • remote
  • Temporary to Hire
  • 38 - 44 USD / Hourly
  • 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.
  • 2026-08-25T00:00:00Z