We are looking for a skilled DevOps Engineer to join our team on a long-term contract basis in West Chester, Pennsylvania. This role involves working with cutting-edge technologies to develop, integrate, and support enterprise systems. Ideal candidates will have a strong background in cloud environments, proficiency in Azure DevOps, and experience with Python.<br><br>Responsibilities:<br>• Develop and maintain enterprise systems using Azure DevOps and Python.<br>• Integrate various cloud-based tools and platforms to ensure seamless functionality.<br>• Collaborate with teams to support and enhance Salesforce systems.<br>• Monitor system performance and troubleshoot issues to maintain operational efficiency.<br>• Implement best practices for software development and deployment processes.<br>• Create documentation and workflows to streamline system integration.<br>• Manage SQL databases to optimize data storage and retrieval.<br>• Ensure security and compliance standards are met across all systems.<br>• Provide technical support for ongoing projects and initiatives.<br>• Participate in team discussions to identify areas for improvement and innovation.
The Opportunity: Be part of a dynamic team that designs, develops, and optimizes data solutions supporting enterprise-level products across diverse industries. This role provides a clear track to higher-level positions, including Lead Data Engineer and Data Architect, for those who demonstrate vision, initiative, and impact. Key Responsibilities: Design, develop, and optimize relational database objects and data models using Microsoft SQL Server and Snowflake. Build and maintain scalable ETL/ELT pipelines for batch and streaming data using SSIS and cloud-native solutions. Integrate and utilize Redis for caching, session management, and real-time analytics. Develop and maintain data visualizations and reporting solutions using Sigma Computing, SSRS, and other BI tools. Collaborate across engineering, analytics, and product teams to deliver impactful data solutions. Ensure data security, governance, and compliance across all platforms. Participate in Agile Scrum ceremonies and contribute to continuous improvement within the data engineering process. Support database deployments using DevOps practices, including version control (Git) and CI/CD pipelines (Azure DevOps, Flyway, Octopus, SonarQube). Troubleshoot and resolve performance, reliability, and scalability issues across the data platform. Mentor entry level team members and participate in design/code reviews.
<p>We are looking for a skilled Data Engineer to design and enhance scalable data solutions that meet diverse business objectives. This role involves collaborating with cross-functional teams to identify data requirements, improve existing pipelines, and ensure efficient data processing. The ideal candidate will bring expertise in server-side development, database management, and software deployment, working in a dynamic and fast-paced environment.</p><p><br></p><p>Responsibilities</p><ul><li>Enhance and optimize existing data storage platforms, including relational and NoSQL databases, to improve data accessibility, performance, and persistence</li><li>Apply advanced database techniques such as tuning, indexing, views, and stored procedures to support efficient and reliable data management</li><li>Develop server-side Python services utilizing concurrency patterns such as asynchronous programming and multi-threading, and leveraging libraries such as NumPy and Pandas</li><li>Design, build, and maintain APIs using modern frameworks, with experience across communication protocols including gRPC and socket-based implementations</li><li>Create, manage, and maintain CI/CD pipelines using DevOps and artifact management tools to enable efficient and reliable software delivery</li><li>Design and deploy applications in enterprise Linux environments, ensuring stability, performance, and scalability</li><li>Partner with cross-functional teams to gather requirements and deliver technical solutions aligned with business objectives</li><li>Follow software development lifecycle best practices to ensure high-quality, maintainable, and secure solutions</li><li>Work effectively in iterative, fast-paced development environments while consistently delivering high-quality outcomes on schedule</li></ul><p><br></p>
<p><strong>Data Engineer </strong>Java Dev (AWS, Microservices, Spring Boot) IV </p><p>46 Week Contract </p><p>Hybrid | Philadelphia, PA </p><p><strong>Job Summary</strong></p><p>The Senior Java Developer will design, build, and support cloud‑based microservices using Java and AWS. This role focuses on developing scalable, secure solutions, supporting DevOps and CI/CD practices, and collaborating with cross‑functional teams to deliver high‑quality software in an Agile environment.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, test, and maintain <strong>Java‑based microservices</strong> using <strong>Spring Boot</strong> and AWS.</li><li>Build and support <strong>cloud‑native solutions</strong> with an emphasis on scalability, performance, and security.</li><li>Contribute to <strong>DevOps and CI/CD pipelines</strong>, including source control, automation, monitoring, and deployment practices.</li><li>Troubleshoot production issues and drive continuous improvements across platform reliability and performance.</li><li>Collaborate with architects, product managers, and engineering teams to translate requirements into technical solutions.</li><li>Promote and apply <strong>software engineering best practices</strong> within an Agile development environment.</li></ul><p><br></p>
