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4 results for Cloud Computing Analyst in White Plains, NY

Cloud Engineering Specialist

Union, NJ
onsite
Temporary / Contract
39.5865 - 45.837 USD / Hourly
We are looking for a Cloud Engineering Specialist to support a university technology environment in New Jersey. This long-term contract position will focus on strengthening secure, reliable, and scalable cloud services while supporting core identity and collaboration platforms used across the institution. The role is well suited for a hands-on cloud specialist who can balance administration, automation, and troubleshooting in a complex enterprise setting. Responsibilities: • Manage and support the Microsoft 365 environment to maintain dependable collaboration, messaging, and productivity services. • Administer cloud and identity platforms such as Microsoft Azure, Active Directory, Exchange Online, SharePoint, and Okta to ensure stable access and secure operations. • Develop and maintain automation scripts and configuration workflows using PowerShell and tools such as Ansible to improve efficiency and consistency. • Monitor platform performance, availability, and security, then address incidents and service issues in a timely manner. • Partner with technical teams and business stakeholders to implement cloud solutions that align with institutional needs and security expectations. • Investigate authentication, access, and integration issues across enterprise applications and resolve them with sound technical judgment. • Produce reports, system documentation, and operational records to support audits, service management, and ongoing platform improvement. • Contribute to cloud transformation and modernization efforts by recommending practical enhancements for resilience, scalability, and governance.
2026-06-05T00:00:00Z

Data Analyst

Morristown, NJ
onsite
Temporary / Contract
51.4615 - 59.587 USD / Hourly
We are looking for a Data Analyst to join a healthcare organization in Morristown, New Jersey. This Long-term Contract position will focus on shaping scalable data structures that support analytics, reporting, and enterprise data initiatives. The role works closely with technical and business teams to turn complex information needs into well-organized, high-performing data solutions. This opportunity is ideal for someone who is detail oriented, brings strong data modeling expertise, and can contribute in a regulated environment. Responsibilities: • Create and refine conceptual, logical, and physical data models across relational, dimensional, and non-relational platforms. • Produce and maintain entity relationship diagrams, data flow artifacts, and supporting documentation that align with organizational standards. • Work alongside engineers, architects, and analysts to ensure data designs enable reliable ingestion, transformation, and reporting processes. • Convert business needs into efficient database structures that support performance, scalability, and long-term usability. • Review model designs for consistency and quality while promoting sound modeling practices across the team. • Maintain metadata, business definitions, lineage details, and data dictionaries to improve transparency and governance. • Support warehouse and mart design by developing schemas suited for analytics and downstream reporting needs. • Investigate and address issues related to data integrity, duplication, and quality through thoughtful structural design. • Contribute to governance and cataloging efforts that improve standardization and enterprise data management. • Deliver modeling outputs within an Agile framework, partnering with teams through iterative sprint cycles.
2026-06-04T00:00:00Z

Cyber Security Engineer

Maryknoll, NY
onsite
Permanent / Full Time
100000 - 108312 USD / Yearly
We are looking for a Cyber Security Engineer to strengthen and oversee the organization’s security posture in New York. This role is suited to an experienced, detail-oriented individual who can assess risk, guide security practices, and protect systems across a mixed technology environment. The ideal candidate brings strong judgment, technical depth, and the ability to communicate clearly with stakeholders while handling sensitive matters with discretion. Responsibilities: • Lead day-to-day security efforts by identifying vulnerabilities, analyzing threats, and coordinating timely remediation activities across systems and networks. • Evaluate the security of Windows and macOS environments, including patch management practices, endpoint protections, and configuration standards. • Monitor network activity and security controls such as firewalls and related tools to help prevent unauthorized access and reduce operational risk. • Investigate potential incidents, determine the scope of exposure, and drive response actions to contain and resolve security issues effectively. • Review third-party security documentation, including SOC 2 reports, to support vendor risk assessments during contracting and procurement processes. • Help develop, maintain, and reinforce information security policies, standards, and procedures in alignment with regulatory and organizational requirements. • Partner with IT teams, leadership, and internal users to communicate security recommendations, report findings, and support informed decision-making. • Contribute technical and analytical expertise to strengthen monitoring capabilities, improve risk visibility, and support ongoing security program maturity.
2026-06-03T00:00:00Z

Data Engineer

Poughkeepsie, NY
remote
Temporary / Contract
58 - 77 USD / Hourly
We are looking for an experienced Data Engineer to join a team delivering modern data solutions in Poughkeepsie, New York. This Long-term Contract position focuses on building reliable, scalable data platforms in Databricks while supporting analytics needs across the business. The role calls for a hands-on engineer who can improve data performance, uphold governance standards, and partner effectively with cross-functional stakeholders in an agile environment. Responsibilities: • Create and support scalable data pipelines in Databricks using Spark technologies such as PySpark or Scala to process and deliver high-quality data. • Develop lakehouse architectures on Azure Data Lake Storage Gen2 and ensure strong integration with Databricks for efficient data management. • Establish and monitor data quality controls and governance practices within the platform using validation methods and Delta Lake capabilities. • Investigate pipeline and application inefficiencies, then implement tuning strategies to improve Spark and Databricks performance. • Work closely with analysts and other stakeholders to translate business data needs into refined, analytics-ready datasets. • Automate ingestion, transformation, testing, and release processes, including integration with CI/CD workflows where appropriate. • Provide guidance to less experienced engineers by sharing best practices for Databricks development, optimization, and support. • Maintain clear technical documentation for notebooks, workflows, data models, configurations, and operational procedures. • Protect data assets by applying security controls and compliance standards across the Databricks environment. • Contribute to design sessions, solve complex data issues, and uphold change management and data integrity standards while delivering large assignments on schedule.
2026-06-02T00:00:00Z