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5 results for Cloud Computing Analyst in Uniondale, NY

Cybersecurity Analyst

Oyster Bay, NY
onsite
Permanent / Full Time
80000 - 105000 USD / Yearly
We are looking for a Cybersecurity Analyst to help protect and strengthen the organization’s technology environment in Oyster Bay, New York. In this role, you will monitor security events, investigate potential threats, and work closely with IT partners to reduce risk across systems and infrastructure. This position also supports secure operations through documentation, system maintenance, and guidance on compliant technology use, including approved AI tools. Responsibilities: • Monitor networks, endpoints, and security tools to detect threats, unusual behavior, vulnerabilities, and unauthorized activity across the environment. • Investigate security events from initial alert through resolution, documenting findings, assessing business impact, and identifying underlying causes. • Evaluate security risks, rank remediation priorities, and collaborate with internal technology teams to implement effective corrective measures. • Review the effectiveness of security controls and confirm that mitigation efforts are completed, tested, and properly validated. • Escalate material cybersecurity, governance, compliance, and risk concerns to leadership with clear analysis to support informed decisions. • Provide guidance on the secure and policy-aligned use of approved artificial intelligence solutions and assist with oversight of related practices. • Assist with infrastructure administration by supporting patching, upgrades, testing, and security improvements, including occasional after-hours maintenance activities. • Maintain current documentation for system settings, security measures, asset inventories, and operational procedures to support audit readiness and continuity. • Offer secondary technical support for escalated user issues and service requests when additional troubleshooting expertise is needed.
2026-09-11T00:00:00Z

Data Analyst

Milford, CT
onsite
Temporary / Contract
26 - 31 USD / Hourly
About the RoleRobert Half is seeking a highly analytical and detail-oriented Data Analyst for a contract opportunity with an innovative technology company in Milford, Connecticut. This position is ideal for a professional who enjoys transforming complex data into actionable insights and supporting business decisions through reporting, analysis, and data visualization.The Data Analyst will collaborate with cross-functional teams to collect, analyze, and interpret data, helping drive operational efficiency and strategic initiatives across the organization.Responsibilities<ul><li>Collect, validate, and analyze large datasets from multiple sources</li><li>Develop and maintain reports, dashboards, and data visualizations</li><li>Identify trends, patterns, and key performance indicators to support business objectives</li><li>Prepare and present findings to management and key stakeholders</li><li>Perform data cleansing and quality assurance to ensure data accuracy</li><li>Assist with forecasting, business planning, and performance analysis</li><li>Create ad hoc reports and analyses to support departmental initiatives</li><li>Collaborate with IT and business teams to improve reporting processes and data integrity</li><li>Document reporting procedures, metrics, and data definitions</li><li>Support special projects and data-driven decision-making efforts</li></ul>
2026-09-16T00:00:00Z

Data Analyst

Park Ridge, NJ
onsite
Temporary / Contract
27.7115 - 32.087 USD / Hourly
We are looking for a detail-oriented Data Analyst to support master data operations in Park Ridge, New Jersey. This Long-term Contract position focuses on maintaining data accuracy, strengthening reporting support, and helping business teams manage critical information efficiently. The ideal candidate will collaborate across departments, investigate data issues, and contribute to process improvements that support reliable day-to-day operations. Responsibilities:• Create and maintain master data records in enterprise systems to support business needs and operational accuracy.• Partner with cross-functional teams to understand how core data elements connect to internal workflows and business activities.• Work closely with departments across the organization to ensure timely, complete, and accurate entry of critical data.• Support communication among stakeholders to improve coordination, clarify data requirements, and streamline information flow.• Help develop practical templates, reference materials, and process documentation to improve routine master data activities.• Extract, organize, and prepare data from multiple tables to assist with reporting, uploads, and business requests.• Review data for inconsistencies, investigate discrepancies, and take corrective action to improve data quality.• Provide additional support on assigned master data tasks and contribute to ongoing process enhancement efforts.
2026-09-09T00:00:00Z

Senior Data Engineer (Databricks)

Morristown, NJ
remote
Permanent / Full Time
120000 - 145000 USD / Yearly
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. QUALIFIED CANDIDATES SHOULD HAVE EXPERIENCE WITH:<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> RESPONSIBILITIES<ul><li>Architecture & Strategy: Design the ERDW.Next lakehouse (medallion/gold layer star schema) and govern data modeling, batch/streaming, and Delta Live Tables standards.</li><li>Build & Migration: 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>Platform Operations: 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>Governance & AI: Implement Unity Catalog governance (entitlements, lineage, audit) and curate Databricks Genie Agents for natural-language analytics.</li><li>Partner & Legacy Management: 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>
2026-09-08T00:00:00Z

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. Responsibilities: • Lead the administration, configuration, and ongoing support of Snowflake environments to ensure stability, security, and strong performance. • Improve platform efficiency by analyzing workloads, tuning queries, and optimizing storage and compute usage across large-scale data ecosystems. • Partner with engineering and data teams to design scalable data architectures and support effective data modeling practices. • Oversee database operations across multiple platforms, including Microsoft SQL Server and PostgreSQL, within cloud-based environments such as AWS. • Drive data migration efforts and help implement platform enhancements that improve reliability, maintainability, and long-term scalability. • Provide technical leadership to the team by mentoring engineers, reviewing solutions, and guiding best practices across the data platform landscape. • Develop and maintain automation, scripts, or tooling in Python to streamline operational tasks and support platform management. • Use Git-based workflows to manage changes, support collaboration, and maintain version control across engineering deliverables.
2026-08-25T00:00:00Z