We are looking for an experienced Data Engineer to join our team in New York, New York. In this role, you will design, build, and maintain data infrastructure to support business intelligence and analytics needs. The ideal candidate will have a strong technical background, a passion for working with complex datasets, and expertise in cloud-based data platforms.<br><br>Responsibilities:<br>• Develop, implement, and optimize ETL pipelines to ensure efficient data processing and integration.<br>• Design and maintain scalable data solutions, including data warehouses and data lakes.<br>• Collaborate with cross-functional teams to identify data requirements and deliver actionable insights.<br>• Utilize Snowflake, AWS, and other cloud-based platforms to manage data infrastructure and ensure performance optimization.<br>• Leverage Python and SQL to build robust data workflows and automate processes.<br>• Employ orchestration tools like Airflow and dbt to streamline data operations.<br>• Support data analytics and visualization efforts by enabling the creation of impactful dashboards using tools such as Tableau.<br>• Work with marketing and product data sources, including platforms like Google Analytics, to extract and integrate valuable insights.<br>• Implement CI/CD pipelines and DevOps practices to enhance data engineering processes.<br>• Ensure data security and compliance across all systems and tools.
We are looking for a highly skilled Senior Data Engineer to join our team in Edgewood, New York. This role is ideal for someone who is detail oriented and has expertise in developing scalable data pipelines, modeling data structures, and optimizing data infrastructure for performance and reliability. The right candidate will play a key role in shaping our data engineering function and collaborating with cross-functional teams to deliver impactful solutions.<br><br>Responsibilities:<br>• Design and maintain efficient and scalable data pipelines to support various operational and commercial systems.<br>• Develop and manage modern data warehouse infrastructure using tools such as BigQuery and dbt.<br>• Integrate, transform, and organize data from multiple sources into structured, queryable formats.<br>• Create and manage logical and physical data models to enhance analytics and reporting capabilities.<br>• Collaborate with stakeholders to enable self-service reporting and build dashboards using platforms like Looker and Looker Studio.<br>• Implement best practices for data engineering, including testing, monitoring, and ensuring pipeline reliability.<br>• Optimize the performance, scalability, and cost-efficiency of data pipelines and warehouses.<br>• Partner with engineering, operations, and business teams to translate data needs into scalable solutions.<br>• Contribute to the improvement of engineering processes, coding standards, and documentation.<br>• Mentor team members and support onboarding as the team grows.
We are looking for an experienced Data Analyst to join our team on a long-term contract basis in New York City, New York. This role involves leveraging data to identify patterns, detect anomalies, and provide actionable insights to enhance decision-making processes. The ideal candidate will have strong analytical skills and expertise in fraud investigation and prevention.<br><br>Responsibilities:<br>• Analyze large datasets to uncover trends, anomalies, and patterns that indicate potential fraud.<br>• Develop and implement fraud detection strategies using advanced analytics and tools.<br>• Collaborate with cross-functional teams to enhance fraud prevention mechanisms and policies.<br>• Conduct thorough investigations into suspected fraudulent activities and provide detailed reports.<br>• Create visual representations of data findings to effectively communicate insights to stakeholders.<br>• Utilize anti-fraud techniques to mitigate risks and safeguard organizational assets.<br>• Maintain accurate and organized records of investigations and analytical processes.<br>• Monitor and evaluate the effectiveness of fraud prevention strategies and recommend improvements.<br>• Stay updated on industry trends and emerging technologies related to fraud analytics.<br>• Provide training and support to team members on fraud detection tools and methodologies.
<p>We are looking for a skilled Power BI Data Visualization Specialist to join our team in Stamford, Connecticut. In this role, you will leverage your expertise in data visualization and storytelling to transform complex datasets into actionable business insights. Your contributions will support decision-making processes and enhance operational efficiency through well-designed dashboards and reports.</p><p><br></p><p>Responsibilities:</p><p>• Create dynamic dashboards and visualizations using Power BI to effectively communicate data insights.</p><p>• Interpret and analyze complex datasets to generate meaningful business recommendations.</p><p>• Ensure data accuracy and integrity by meticulously validating and reconciling information.</p><p>• Collaborate with stakeholders to understand their data needs and deliver tailored solutions.</p><p>• Design intuitive and user-friendly dashboards that align with visualization best practices.</p><p>• Utilize relational data sources to identify and explore data relationships.</p><p>• Develop Power BI reports that are embedded within applications when required.</p><p>• Apply knowledge of structured datasets to extract insights from operational systems.</p><p>• Partner with teams to support data-driven operations in areas such as finance, manufacturing, and supply chain.</p>
<p>We are looking for a Systems Administrator to help drive technology modernization and operational excellence. We are seeking IT professionals with a strong background in systems administration or infrastructure operations, eager to support mission-critical initiatives and grow into senior infrastructure roles.</p><p><strong>Qualifications:</strong></p><ul><li>2–5 years of experience in systems administration or infrastructure operations; helpdesk/NOC backgrounds with relevant exposure also considered. (Based on general knowledge)</li><li>Proven expertise in Linux system administration. (Based on general knowledge)</li><li>Familiarity with enterprise infrastructure, including storage, virtualization, and networking. (Based on general knowledge)</li><li>Hands-on experience with monitoring systems such as Zabbix, Grafana, or Prometheus. (Based on general knowledge)</li><li>Basic scripting skills (e.g., Bash, Python) and a strong interest in further developing automation capabilities. (Based on general knowledge)</li><li>Excellent written communication for documentation and process development. (Based on general knowledge)</li><li>Ability to respond quickly and decisively during support rotation and system issues. (Based on general knowledge)</li><li>Comfortable leveraging AI tools for troubleshooting, documentation, and automation with a disciplined approach to validating outputs. (Based on general knowledge)</li><li>Growth mindset: eagerness to learn, develop, and advance into senior infrastructure roles over time. (Based on general knowledge)</li></ul><p><br></p>
<p>Join our dynamic technology team as a Site Reliability Engineer (SRE) or Platform Engineer, where you’ll play a central role in building, automating, and maintaining our modern infrastructure across both on-premise and cloud environments.</p><p><strong>Qualifications:</strong></p><ul><li>Bachelor’s degree in Computer Science, Engineering, or a related technical field. (Based on general knowledge)</li><li>3–5+ years of experience in SRE, Platform Engineering, or Systems Administration within fast-paced environments. (Based on general knowledge)</li><li>Strong Python scripting skills. (Based on general knowledge)</li><li>Deep hands-on experience with Kubernetes (deployment, management, troubleshooting); OpenShift experience is a plus. (Based on general knowledge)</li><li>Proficiency with Docker/Podman and internal image management. (Based on general knowledge)</li><li>Solid experience with Ansible and Terraform; Puppet knowledge is helpful. (Based on general knowledge)</li><li>Familiarity with CI/CD workflows; experience with ArgoCD (preferred) or Flux for GitOps. (Based on general knowledge)</li><li>Proficiency with Grafana and Prometheus; exposure to Grafana Cloud/Alloy is desirable. (Based on general knowledge)</li><li>Experience with incident management and on-call tools such as Rootly, Opsgenie, or PagerDuty. (Based on general knowledge)</li><li>Security-first mindset with exposure to DevSecOps practices, including SonarQube, SAST, and CVE scanning. (Based on general knowledge)</li><li>Proven experience with both on-premise and cloud infrastructure:</li><li><strong>On-Premise:</strong> Primary experience with Kubernetes clusters; familiarity with Proxmox is desirable.</li><li><strong>Cloud:</strong> AWS and GCP experience (with a growing footprint), managed via Terraform. (Based on general knowledge)</li></ul><p>If you’re passionate about automation, reliability, and working at the forefront of scalable infrastructure, we invite you to apply.</p>
Must have skills: <br>• 3–6 years of professional software engineering experience, with a strong portfolio of full stack development work. <br>• Proficiency in Python, including experience with web frameworks such as Flask or Dash. <br>• Experience integrating frontend applications with RESTful APIs and backend services. <br>• Relational and non-relational databases: SQL, MongoDB, and/or Snowflake using Python. <br>• Designing data models for effective data storage and retrieval (preferably SQL, MongoDB, Snowflake). <br>• Debugging, issue resolution, and troubleshooting. <br>• Developing systems integrated with cloud services, such as for storage or secrets management (preferably AWS). <br>• Designing and troubleshooting ETL pipelines. <br>• Developing REST APIs using Python frameworks (preferably Flask). <br>• Publishing Python packages, maintaining them, and building Python CLI tools. <br>• Deploying REST APIs in containerized environments (Kubernetes), working with other developers in the team to integrate those APIs with web applications. <br> <br>Nice to have skills: <br>• Exposure to financial systems, SEC API, and/or corporate credit modeling is strongly preferred. <br>• Familiarity with UX design tools (Figma) and solid understanding of the design-engineering hand-off process <br>• Familiarity with deployment pipelines, CICD tools (preferably GitLab). <br>• Configuring observability and alerting services (preferably Datadog and Opsgenie). <br>• Containerized development and deployment (i.e. Docker, Kubernetes) <br>• Writing infrastructure as code (preferably Terraform). <br>• Integrating managed authentication services (preferably Auth0). <br>• Familiarity with LLM Document Parsing and Data Framework services (preferably LlamaParse and LlamaIndex) <br>• Familiarity with LLM Observability tooling (preferably Weave) <br>• Experience with the OpenAI SDK <br>• Experience with Vector Databases (preferably MongoDB)
<p><strong>Job Title:</strong> Full-Stack Software Developer</p><p><strong>Location:</strong> Bergen County, New Jersey (Hybrid or Onsite Options Available)</p><p><br></p><p>We are seeking a skilled <strong>Full-Stack Software Developer</strong> to help build and maintain high-performance web applications across both backend systems and user-facing interfaces. The ideal candidate will have a strong technical foundation, a proactive mindset, and a willingness to take ownership of projects from concept through deployment.</p><p>Responsibilities</p><ul><li>Design, develop, and maintain full-stack web applications using <strong>ASP.NET, .NET Core, C#, SQL, and Entity Framework</strong></li><li>Develop and maintain <strong>RESTful APIs</strong> and backend services that support internal and external applications</li><li>Build and enhance responsive front-end interfaces using <strong>Angular and NGRX</strong></li><li>Integrate front-end components with backend APIs and services to deliver seamless user experiences</li><li>Collaborate with cross-functional teams to define requirements, system architecture, and technical solutions</li><li>Write clean, maintainable, and well-documented code across both front-end and back-end components</li><li>Participate in <strong>code reviews</strong> and help improve development standards and best practices</li><li>Troubleshoot and resolve issues across the full application stack, including database, API, and UI layers</li><li>Contribute to <strong>Agile development processes</strong>, including sprint planning, standups, and retrospectives</li></ul><p><br></p><p><br></p>
<p>A hands-on data leader is sought who thrives at the intersection of high-impact analytics, people development, and strategic influence. The ideal candidate will help shape the future of a data science organization by bringing deep technical mastery, a passion for mentorship, and a vision for how data can drive the achievement of bold business goals.</p><p><br></p><p><strong>Primary Responsibilities:</strong></p><ul><li>Embed data science into the core of marketing and business decisions, leveraging expert knowledge of marketing analytics, business operations, and high-impact team building.</li><li>Lead and oversee a team of data scientists and analysts focused on delivering best-in-class models and actionable insights.</li><li>Collaborate daily with cross-functional teams to understand evolving business needs, and develop effective analytics solutions and models.</li><li>Execute a roadmap to continuously improve the accuracy and functionality of models, enhancing overall business outcomes.</li><li>Drive data science initiatives that improve customer engagement and operational efficiency through personalization and targeting.</li><li>Deliver value-creating projects, including customer segmentation, propensity models, and dynamic bidding algorithms.</li><li>Serve as subject matter expert and primary producer for forecasting model development and execution, partnering with enterprise data management and technology teams.</li><li>Prepare and deliver presentations summarizing key insights and recommendations to senior stakeholders.</li><li>Foster a learning mindset throughout the team, supporting a collaborative and client-focused culture motivated by business and technical challenges.</li></ul><p><br></p>
<p>We're hiring for a Data Manager who will be hands on technically while managing a team. This is a role where you will be performing code reviews, managing data developers and engineers, performance reviews, and working closely with other department heads. You will be responsible to manage resources across multiple projects at any given time. In this role you will be responsible to manage meetings, support the data strategy, work with scrum masters and project managers to break down tasks and create user stories giving clear task lists to teams. We are looking for someone who can present to leadership and be the hands-on mentor/manager.</p><p><br></p><p>Apply today for immediate consideration!</p>
We are looking for a skilled Software Engineer to join our dynamic team in New York, New York. This role is ideal for a driven, detail-oriented individual with expertise in full-stack development and a passion for creating high-performance applications. The ideal candidate thrives in fast-paced environments and enjoys building solutions that delight users.<br><br>Responsibilities:<br>• Develop and maintain full-stack applications using TypeScript, React, and React Native.<br>• Design, implement, and optimize low-latency systems and performance-sensitive software.<br>• Collaborate with cross-functional teams to deliver high-quality solutions that meet user needs.<br>• Contribute to the development of mobile applications with expertise in React Native.<br>• Write clean, efficient, and scalable code to ensure optimal application functionality.<br>• Debug and troubleshoot technical issues to maintain system reliability.<br>• Participate in code reviews and provide constructive feedback to team members.<br>• Stay up-to-date with emerging technologies and incorporate best practices into development processes.<br>• Work in an entrepreneurial environment, taking ownership of projects and driving them to completion.<br>• Engage with product teams to understand user requirements and deliver impactful solutions.
We are looking for a talented Software Engineer to join our dynamic team in New York, New York. In this role, you will leverage your expertise in full-stack development to create innovative software solutions that enhance user experiences. If you thrive in fast-paced environments and enjoy building impactful applications, this opportunity is perfect for you.<br><br>Responsibilities:<br>• Design, develop, and maintain high-quality software solutions using TypeScript, React, and React Native.<br>• Collaborate with cross-functional teams to deliver seamless user experiences across web and mobile platforms.<br>• Optimize applications for performance and scalability, ensuring low-latency and efficient functionality.<br>• Implement and test new features to continuously improve product offerings.<br>• Troubleshoot and resolve technical issues to maintain system reliability.<br>• Contribute to the development of performance-sensitive applications that meet user needs.<br>• Participate in code reviews and provide constructive feedback to uphold coding standards.<br>• Stay updated on industry trends and emerging technologies to drive innovation.<br>• Apply entrepreneurial thinking to create solutions in a startup environment.<br>• Work on projects related to sports or similar industries, if applicable.
We are on the search for a Software Engineer to join our team located in Oyster Bay, New York. The role encompasses processing customer applications, maintaining customer records, and resolving customer inquiries. The Software Engineer will also monitor customer accounts and take suitable action.<br><br>Responsibilities<br>• Develop and test software using VB or Objective C<br>• Implement systems design and software development<br>• Conduct unit testing and integrated system testing<br>• Develop databases using Oracle and/or SQL<br>• Work collaboratively within a team or independently as required<br>• Handle customer inquiries and resolve them efficiently<br>• Process customer credit applications with accuracy<br>• Maintain customer credit records meticulously<br>• Monitor customer accounts and take necessary action<br>• Gain knowledge of Inventory and Manufacturing-related systems
We are looking for an entry-level Data Analyst to join our team in Jersey City, New Jersey. In this role, you will contribute to optimizing data processes and support data-driven decision-making within the organization. You will work with diverse data sets, automate workflows, and design advanced data models to improve operational efficiency and analytics capabilities.<br><br>Responsibilities:<br>• Collect, transform, and manage large data sets to streamline sourcing across a wide portfolio of vendors, suppliers, and products.<br>• Standardize and cleanse data from multiple systems to ensure consistency and accuracy.<br>• Validate and aggregate incoming raw data for integration into databases and analytical models.<br>• Address data gaps across various domains to enhance overall data quality.<br>• Extract data from multiple sources to support larger analytics projects and initiatives.<br>• Promote best practices for data usage and management across the organization, including newly acquired entities.<br>• Assist in integrating analytics models into production workflows to optimize functionality.