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9 results for Cloud Computing Analyst in Princeton, NJ

Sr. Cloud Engineer

Camden, NJ
onsite
Permanent / Full Time
140000 - 150000 USD / Yearly
We are looking for an experienced Sr. Cloud Engineer to lead the design and operation of secure, scalable cloud environments. This role focuses on building resilient multi-cloud infrastructure across AWS and Microsoft Azure while advancing automation, governance, and operational reliability. The ideal candidate brings strong expertise in Terraform, cloud architecture, and enterprise-wide security practices, along with a practical approach to performance monitoring and cost control. Responsibilities:• Build and manage multi-cloud infrastructure across AWS and Azure with a focus on security, scalability, and reliability.• Create and enhance infrastructure automation using Terraform to standardize provisioning, configuration, and ongoing platform management.• Establish enterprise cloud governance by designing landing zones, multi-account structures, and policy controls across AWS and Azure environments.• Monitor platform health, security posture, compliance status, and service availability using native and third-party observability tools.• Partner with application and infrastructure teams to develop backup, disaster recovery, high-availability, and failover solutions that support business continuity.• Review cloud environments regularly to improve resource utilization, strengthen security controls, and reduce unnecessary spend.• Advise stakeholders on cloud architecture, operational best practices, troubleshooting, and approaches for moving on-premises systems into cloud platforms.• Design and maintain identity and access management models, including role-based access and federated identity solutions across cloud accounts and subscriptions.• Produce and maintain clear technical documentation covering architecture standards, configurations, procedures, and support processes.• Contribute to capacity planning, performance tuning, and long-term platform optimization initiatives across enterprise cloud services.
2026-08-19T00:00:00Z

Data Analyst

Elmwood Park, NJ
onsite
Temporary / Contract
21.774 - 25.212 USD / Hourly
We are looking for a detail-oriented Data Analyst to support commission-related reporting and financial data review within the insurance industry in Elmwood Park, New Jersey. This Long-term Contract position is ideal for someone who enjoys working with complex datasets, identifying inconsistencies, and helping maintain accurate commission operations. The role combines analytical problem-solving, reporting, and cross-functional coordination to ensure commission activity is processed correctly and on time. Responsibilities: • Examine insurance commission data and validate calculations to support accurate statement processing. • Investigate mismatches, payment issues, and reporting variances by researching broker and carrier records. • Review new policy activity and account updates to confirm commission handling aligns with business rules. • Reconcile internal commission information against carrier submissions and address exceptions promptly. • Produce recurring monthly reports that highlight operational results and commission activity. • Manage detailed carrier statement uploads and process high-volume or complex commission transactions. • Support audit requests by gathering documentation and verifying the accuracy of commission records. • Perform month-end reporting checks and system-level data reviews to improve accuracy and completeness. • Build and maintain Excel-based analysis tools, using advanced formulas and macros to organize and interpret data. • Monitor commission deposits, payment activity, and special reporting requests as needed.
2026-08-05T00:00:00Z

Data Analyst

Philadelphia, PA
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for an experienced Data Analyst to support healthcare initiatives in Philadelphia, Pennsylvania. This is a long-term contract position that requires strong analytical skills and a focus on fraud detection and prevention. The ideal candidate will leverage data-driven insights to enhance decision-making and ensure the integrity of healthcare operations. Responsibilities: • Conduct detailed data analyses to identify patterns of suspected fraud and anomalies in healthcare systems. • Develop and implement fraud detection models using advanced analytics tools and techniques. • Collaborate with cross-functional teams to investigate potential fraudulent activities and propose actionable solutions. • Utilize platforms such as Epics and Chartmaxx to extract and analyze data effectively. • Generate comprehensive reports and dashboards to present findings and support decision-making. • Monitor ongoing healthcare operations to ensure compliance with anti-fraud protocols. • Optimize data workflows and processes to enhance efficiency and accuracy. • Stay updated on industry trends and best practices in fraud analytics and healthcare data analysis. • Provide recommendations to improve system integrity and prevent future fraudulent activities.
2026-07-30T00:00:00Z

Data Analyst

Woodbridge, NJ
onsite
Temporary / Contract
27.5 - 31.25 USD / Hourly
This Long-term Contract position focuses on interpreting business data, preparing meaningful reports, and sharing actionable insights with internal teams. The role offers the opportunity to work across recurring analysis needs as well as special projects in a fast-paced environment. Responsibilities:• Analyze large sets of operational and business data using Excel and other reporting tools to identify trends, exceptions, and opportunities.• Gather information from multiple sources, organize findings, and present clear updates to stakeholders and team members.• Create and maintain reports, spreadsheets, and dashboards that support ongoing business monitoring and decision-making.• Partner with internal teams to respond to ad hoc analysis requests and deliver timely, accurate results.• Assist with special projects by compiling data, validating information, and summarizing outcomes in an easy-to-understand format.• Support data activities related to enterprise systems, including SAP-based reporting or training-related tasks when needed.• Help improve reporting consistency by checking data quality and ensuring information is current and reliable.
2026-08-27T00:00:00Z

Data Analyst

New York, NY
onsite
Temporary / Contract
20.5865 - 23.837 USD / Hourly
We are looking for a Data Analyst to join a FinTech organization in New York, New York on a Long-term Contract basis. This position will focus on transforming business data into clear reporting, actionable insights, and performance tracking that support renewal and subscription activities. The role works closely with stakeholders across teams to strengthen reporting accuracy, improve operational visibility, and help guide data-driven decisions. Responsibilities: • Develop and distribute recurring reports related to renewals, subscriptions, and business performance for internal stakeholders. • Examine operational and business data to identify trends, highlight risks, and provide insights that support informed decision-making. • Contribute to renewal-focused initiatives and cross-functional projects by supplying analysis, reporting, and metric tracking. • Ensure information remains accurate and consistent across reports, dashboards, trackers, and other business tools. • Build, maintain, and refine Excel-based models, dashboards, and analytical files used for ongoing monitoring and planning. • Handle ad hoc data and reporting requests from managers and business partners in a timely and organized manner. • Partner with teams across the business to support operational goals and improve visibility into key performance measures. • Recommend and support enhancements to reporting processes, data quality controls, and overall analytical efficiency. • Monitor renewal metrics and related indicators to help assess performance and identify areas for improvement.
2026-08-10T00:00:00Z

Desktop Support Analyst

Havertown, PA
onsite
Temporary / Contract
19 - 21 USD / Hourly
We are looking for a Desktop Support Analyst to provide front-line technical assistance in an education setting. This long-term contract position supports both students and staff by resolving everyday hardware and software issues with a responsive, service-oriented approach. The role combines walk-up support with on-site classroom assistance, making it ideal for someone who enjoys hands-on troubleshooting and direct user interaction. Responsibilities: • Deliver first-line technical support for students and employees by diagnosing and resolving common device and workstation issues • Provide in-person assistance at a support desk while also responding to requests for help in classrooms and other campus areas • Troubleshoot and support Apple laptops used by staff, including operating system and device-related concerns • Assist students with Chromebook issues, ensuring devices are functional and ready for daily academic use • Address PC desktop and workstation problems involving hardware, software, connectivity, and user access • Document reported incidents, track resolutions, and escalate more complex problems when necessary • Maintain a detail-focused and approachable support experience for users with varying levels of technical knowledge
2026-08-12T00:00:00Z

Data Engineer

Conshohocken, PA
remote
Permanent / Full Time
100000 - 150000 USD / Yearly
We are looking for a Data Engineer to join a growing team in Conshohocken, Pennsylvania within the financial services industry. In this role, you will build and enhance modern data pipelines and warehouse structures that support reporting, analytics, and business decision-making. You will partner with technical and business teams to deliver reliable, well-governed data solutions using Python, Azure Synapse Analytics, and related cloud technologies. Responsibilities: • Build and support scalable data pipelines using Python, including PySpark, within Azure Synapse Analytics notebooks and pipeline workflows. • Design, load, and maintain warehouse structures in a massively parallel processing environment, applying dimensional modeling concepts such as facts and dimensions. • Ingest and transform data from a range of sources, including APIs, databases, and flat files, to create dependable datasets for downstream use. • Improve the efficiency and reliability of Azure Synapse processes by tuning queries, refining workloads, and addressing performance constraints. • Partner with data architects, analysts, and other stakeholders to translate business needs into practical data models and engineering solutions. • Establish validation routines and data quality controls to promote completeness, consistency, and accuracy across datasets. • Monitor scheduled jobs and pipeline activity, troubleshoot failures, and implement corrective actions to maintain service levels. • Document data flows, transformation logic, technical configurations, and operating procedures to support maintainability and knowledge sharing. • Apply security, privacy, and governance standards to data solutions while supporting broader data platform initiatives such as lakes, lakehouses, and cataloging practices.
2026-08-21T00:00:00Z

Data Engineer

Philadelphia, PA
remote
Temporary / Contract
62 - 70 USD / Hourly
Data EngineerLocation: 100% REMOTE BUT MUST BE ABLE TO INTERVIEW ONSITE IN PHILADELPHIA, PADuration: Through 12/31/2026, extensions likely This is a senior-level Data Engineer opportunity supporting enterprise modernization and cloud migration initiatives within a large-scale Agile environment. The role focuses on designing and building modern data pipelines, enhancing legacy data platforms, and developing scalable data assets that support analytics and reporting. The ideal candidate is a hands-on Data Engineer with deep expertise in Databricks, PySpark, Python, and AWS services, and experience working within cloud-based data ecosystems undergoing transformation. Responsibilities:<ul><li>Design, develop, and maintain scalable data engineering solutions using Databricks, Python, PySpark, and AWS.</li><li>Build, optimize, and support ETL processes and data pipelines for inventory, supply, and yield data initiatives.</li><li>Develop and maintain data assets that support enterprise analytics and Tableau reporting environments.</li><li>Support cloud migration and modernization efforts by transforming legacy data platforms into modern cloud-based solutions.</li><li>Enhance and maintain existing data engineering workflows while delivering new data pipeline capabilities.</li><li>Collaborate with cross-functional teams, including engineering, analytics, and business stakeholders, within an Agile Release Train (ART) environment.</li><li>Contribute to reducing technical debt through modernization of legacy data systems.</li><li>Implement scalable and reliable data processing solutions leveraging AWS services and cloud-native technologies.</li></ul>
2026-07-31T00:00:00Z

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