<p>We are looking for an experienced Data Engineer for a full time opportunity in Northern, Virginia. In this role, you will design reliable data solutions that support analytics and business decision-making while helping improve the overall data environment. The ideal candidate brings strong technical depth in modern data engineering practices and enjoys building scalable systems from the ground up.</p><p><br></p><p>Responsibilities:</p><p>• Design, develop, and maintain robust data pipelines that collect, transform, and deliver high-quality data for reporting and analysis.</p><p>• Create and optimize data models that support business intelligence, analytics, and operational use cases across the organization.</p><p>• Build and manage ETL workflows using Python and related technologies to ensure efficient movement of data between systems.</p><p>• Work with large-scale data processing tools such as Apache Spark and Hadoop to handle complex and high-volume datasets.</p><p>• Integrate streaming and batch data sources using technologies such as Apache Kafka to support timely and reliable data availability.</p><p>• Collaborate with analysts, engineers, and business stakeholders to translate data needs into scalable engineering solutions.</p><p>• Improve data warehouse performance, structure, and reliability to support accurate and accessible enterprise data.</p><p>• Use dbt and other modern data transformation practices to organize, test, and document datasets effectively.</p>
<p>We are looking for a Cloud Engineer to help create resilient, modern cloud solutions that support large-scale, event-driven workloads in Northern, Virginia. This position combines technical architecture, hands-on engineering, and close collaboration with stakeholders to deliver secure, high-performing systems. The role is ideal for someone who can balance strategic thinking with practical execution while guiding teams and strengthening client partnerships.</p><p><br></p><p>Responsibilities:</p><p>• Create and refine cloud-native, serverless solutions designed to support high-throughput data processing and event-based applications.</p><p>• Work directly with stakeholders to understand operational goals, identify limitations, and recommend effective technical approaches.</p><p>• Provide technical guidance to decision-makers by evaluating options, outlining risks, and helping resolve complex engineering issues.</p><p>• Build trusted relationships with clients and contribute to team growth through mentorship, collaboration, and technical leadership.</p><p>• Remain actively involved in delivery by participating in architecture reviews, overseeing implementation quality, and developing prototypes when needed.</p><p>• Investigate production issues and optimize system reliability, scalability, and overall performance across cloud environments.</p>