<p>Kforce has a client in Boston, MA that is seeking a Data Engineer.</p> <p>Position Overview: We are seeking a Senior Data Engineer to join a core engineering squad within our enterprise technology division. This hands-on role requires deep technical knowledge in enterprise data architecture and a proven history of processing highly sophisticated, large-scale transaction datasets. You will spearhead the creation of robust data pipelines, incorporate advanced automated analytics and document processing tools, and link multi-cloud data environments. This position operates on-site at our regional office on a hybrid schedule.</p> <p>Core Responsibilities:</p> <ul> <li>Unified Framework Architecture: Oversee the design, construction, and modernization of our centralized data network, establishing repeatable methodologies for information access, governance, and delivery across internal departments </li><li>Modern Lakehouse Formats: Direct the evolution of our lakehouse storage framework, overseeing ingestion, data delivery, replication, stream management, speed tuning, and standard lifecycle procedures for both reporting and production environments </li><li>Distributed Computing: Formulate the system processing strategy across stateful, stateless, and clustered computing environments </li><li>Real-Time Streaming: Architect and promote message-based, real-time messaging patterns for immediate information ingestion and cross-system connection </li><li>Strategic Planning: Convert business needs into clear technical milestones </li><li>Cross-Functional Leadership: Direct technical strategy across critical platform domains. Engineering Rigor: Standardize operational frameworks for data verification, tracing, compliance, and monitoring </li><li>Technical Mentorship: Guide developing engineers, elevating development standards regarding design validation, code quality, and technical accountability* Education: Technical degree in a relevant field like Software Engineering, Computer Science, or equivalent practical experience </li><li>Experience: 4+ years navigating enterprise database design, clustered computing, or infrastructure orchestration, with clear tenure operating in an influential technical capacity </li><li>Mindset: An infrastructure-first mindset with a history of delivering high-capacity storage ecosystems focused on developer productivity and data tracking </li><li>Table Formats: Comprehensive hands-on deployment of modern open-source table formats (such as Iceberg or Delta), including storage partition strategies, metadata oversight, and performance optimization </li><li>Compute Engines: Deep knowledge of clustered compute engines, workflow orchestration tools, system recovery, and computational tuning </li><li>Messaging: Proven implementation of asynchronous communication models using modern broker networks and messaging flows </li><li>Analytics: Experience optimizing data ecosystems for production analytics, including specialized pipeline building and model deployment workflows </li><li>Languages: Professional fluency in scripting languages (such as Python and SQL); Familiarity with object-oriented languages (like Java or Scala) and enterprise processing tools is a strong plus </li><li>DevOps Tools: Competency working with cloud-managed containerization tools, infrastructure-as-code automation, and centralized system monitoring software </li><li>Leadership: Ability to direct high-stakes architectural choices, influence engineering directions, and bridge communication gaps between technical teams and business directors </li><li>Communication: Excellent presentation skills, with a capability to explain complicated cloud infrastructure concepts to non-technical partners </li></ul>