Sr Data Engineer

Senior Data EngineerLocation: Washington, DC (onsite)Compensation: $165,000 – $185,000 + benefitsOverviewThe Senior Data Engineer will be a key contributor in designing and building a modern data analytics ecosystem leveraging the Databricks platform. This environment will support a high-performing analytics team responsible for evaluating and improving a high-profile federal government digital product.In this role, the engineer will integrate data from multiple source systems and modernize how information is collected, processed, and consumed across the organization. The position requires deep expertise in developing scalable data pipelines, maintaining reliable data infrastructure, and improving data quality, performance, and accessibility. Solutions may include real-time streaming, batch processing workflows, and API-based integrations.The Senior Data Engineer will operate within an agile development framework, working closely with product managers, analysts, and engineers to deliver data solutions that enable informed, data-driven decisions.Core Expertise AreasData Engineering and Data Platform DevelopmentETL / ELT Pipeline Design and ImplementationApache Kafka and Event-Driven Streaming ArchitecturesAWS Cloud Architecture and ServicesDatabricks Unified Data Analytics PlatformResponsibilitiesDesign, build, and maintain resilient data pipelines supporting both batch and streaming workloadsOptimize data infrastructure to ensure scalability, reliability, and performanceEnhance data ingestion and transformation processes to improve accuracy and availabilityIntegrate data from diverse internal and external systems using modern interface patternsCollaborate with cross-functional teams in an agile environment to deliver analytics-ready data solutionsContribute to architectural decisions and technical standards for enterprise data platformsRequirementsAbility to successfully complete a federal government Public Trust background investigationBachelor’s degree12+ years of experience delivering data engineering solutions that provide measurable value to end users or customersAdvanced hands-on experience with Databricks, Apache Kafka, ETL development, workflow orchestration, and large-scale data processingStrong understanding of data architecture principles, pipeline design patterns, and infrastructure optimization techniquesDemonstrated experience working in customer-focused, agile development teamsExcellent verbal and written communication skills, with the ability to clearly articulate technical concepts and tradeoffs in terms of business and customer impact to both technical and non-technical audiences.