We are looking for a skilled and experienced Senior Data Engineer to join our team in New York, New York. This role is ideal for someone who thrives on working with complex datasets, building scalable data solutions, and collaborating with cross-functional teams. If you have a passion for leveraging data to drive strategic decisions, we encourage you to apply.<br><br>Responsibilities:<br>• Design, implement, and maintain scalable data architectures to support business intelligence and analytics needs.<br>• Develop and optimize data pipelines and workflows for efficient data processing and integration.<br>• Collaborate with stakeholders to understand data requirements and translate them into actionable solutions.<br>• Leverage cloud platforms, such as AWS, Azure, or Google Cloud, to manage and enhance data infrastructure.<br>• Utilize Big Data technologies, including Apache Spark and Databricks, to process and analyze large datasets.<br>• Write efficient scripts and perform data manipulation using Python and other relevant programming languages.<br>• Ensure data quality and integrity by implementing robust validation and monitoring processes.<br>• Provide technical guidance and support to team members on best practices in data engineering.<br>• Stay updated on emerging data technologies and tools to continuously improve systems.<br>• Partner with API developers to integrate data systems and enable seamless data access.
We are looking for an Application Support Engineer to join our team in Irvington, New Jersey. In this role, you will play a critical part in ensuring the stability, functionality, and efficiency of hardware, software, and network systems for our customers. The ideal candidate will possess strong technical expertise and a proactive approach to resolving technical challenges and improving processes.<br><br>Responsibilities:<br>• Diagnose and repair hardware issues related to PCs, laptops, and printers.<br>• Troubleshoot and resolve software and network-related problems efficiently.<br>• Administer and maintain Microsoft Windows Server environments and network equipment.<br>• Provide technical consultation to customers, offering solutions tailored to their needs.<br>• Collaborate with internal teams to design projects aimed at enhancing customer systems and workflows.<br>• Document issues and resolutions in ticketing systems to ensure clear communication and record-keeping.<br>• Generate reports and provide status updates on customer IT infrastructure.<br>• Install, test, troubleshoot, and repair hardware and software systems, including desktops, laptops, and network devices.<br>• Monitor incident trends, identify recurring problems, and implement long-term solutions.<br>• Recommend new products and services to optimize customers’ environments and ensure high performance.
We are looking for a skilled Data Engineer to join our team on a long-term contract basis. In this role, you will contribute to the development and optimization of data pipelines, ensuring the seamless integration of platforms and tools. Based in Jericho, New York, this position offers an exciting opportunity to work with advanced technologies in the non-profit sector.<br><br>Responsibilities:<br>• Design and implement scalable data pipelines to support organizational goals.<br>• Develop and maintain data integration processes using tools such as Apache Spark and Python.<br>• Collaborate with cross-functional teams to leverage Tableau for data visualization and reporting.<br>• Work extensively with Salesforce and NetSuite to optimize data flow and system functionality.<br>• Utilize ETL processes to transform and prepare data for analysis and decision-making.<br>• Apply expertise in Apache Hadoop and Apache Kafka to enhance data processing capabilities.<br>• Troubleshoot and resolve issues within cloud-based and on-premise data systems.<br>• Ensure the security and integrity of all data management practices.<br>• Provide technical support and recommendations for system improvements.
<p>We are looking for a skilled Data Engineer to join our team in Toms River, New Jersey. In this role, you will design, manage, and optimize data pipelines and repositories, ensuring reliable and accurate data flow across various platforms. You will also collaborate with cross-functional teams to deliver actionable insights and support business intelligence initiatives.</p><p><br></p><p><strong>Responsibilities:</strong></p><p>• Architect and manage data systems, including data lakes and repositories, ensuring optimal performance and reliability.</p><p>• Monitor and maintain daily data pipelines in Azure, addressing any issues to ensure seamless operations.</p><p>• Develop and enhance data pipelines using Python, Azure Functions, Logic Apps, and Synapse, while integrating new platforms when necessary.</p><p>• Oversee the accuracy and timeliness of data loads into BI models, reconciling discrepancies between Power BI and source reports.</p><p>• Create and refine Power BI dashboards and models to support operational and strategic reporting needs.</p><p>• Administer Power BI workspaces, managing licensing, access permissions, and user security.</p><p>• Provide technical support to Power BI users, assisting with troubleshooting and new dashboard development.</p><p>• Partner with stakeholders to scope and deliver analyses, addressing both recurring and ad hoc business needs.</p><p>• Support financial reporting and performance analysis for Finance and Accounting teams.</p><p>• Build a comprehensive understanding of business processes to deliver valuable strategic insights.</p>
We are looking for a skilled Deployment Engineer to join our team in Stamford, Connecticut. In this long-term contract position, you will play a pivotal role in ensuring the seamless deployment of devices and tools within a dynamic manufacturing environment. This opportunity is ideal for professionals who thrive in fast-paced settings and are passionate about delivering exceptional technical solutions.<br><br>Responsibilities:<br>• Oversee the deployment and configuration of Android devices and Chromebooks across the organization.<br>• Utilize specialized deployment tools to ensure accurate and efficient implementation of hardware and software.<br>• Manage Active Directory to organize and maintain user accounts and permissions.<br>• Provide regular status updates to stakeholders and teams, ensuring clear communication on project progress.<br>• Troubleshoot technical issues during deployment processes, minimizing disruptions and optimizing solutions.<br>• Collaborate with cross-functional teams to align deployment strategies with organizational goals.<br>• Conduct post-deployment evaluations to ensure all systems are functioning as intended.<br>• Maintain detailed documentation of deployment procedures and resolutions for future reference.<br>• Identify opportunities for improvement in deployment processes and implement innovative solutions.
We are looking for a Senior Data Engineer to join our team in New York, New York. In this role, you will be instrumental in designing, developing, and optimizing data pipelines and systems to support business needs. This position requires a strong technical background, a passion for clean coding practices, and expertise in data governance and orchestration.<br><br>Responsibilities:<br>• Develop and maintain scalable data pipelines using Python and Apache Spark, ensuring adherence to clean coding principles.<br>• Implement data governance practices, including data quality management and lineage tracking.<br>• Manage diverse data ingestion patterns to facilitate seamless integration of data sources.<br>• Utilize tools such as Apache Airflow for data orchestration and Docker or Kubernetes for containerization.<br>• Build and maintain CI/CD pipelines to streamline deployment processes.<br>• Collaborate with stakeholders to ensure accountability and entrepreneurialism in daily tasks.<br>• Apply knowledge of cloud platforms like Microsoft Azure and Databricks for advanced data solutions.<br>• Leverage experience with commodity and energy trading data to deliver business-focused insights.
