Bachelor's degree in computer science or related discipline, and 5+ years of professional experience in Data Engineering, Analytics Engineering, or Data Architecture Strong knowledge of data integration patterns, data lifecycle management, and modern cloud-based data architecture Experience designing or implementing data quality frameworks, validation rules, and data observability solutions Experience working with large, multi-entity datasets and reconciling data across disparate sources Ability to work independently to deliver data solutions while collaborating within a cross-functional engineering team Strong hands-on experience with pipeline automation, orchestration, and data framework development Strong technical writing and documentation skills with meticulous attention to detail. Masters degree in a related discipline Familiarity with large-scale data platforms, biomedical data, or research-focused systems, including data privacy considerations for sensitive or regulated data Experience supporting public-facing federal systems or APIs Databricks familiarity One or more of the following certifications: AWS Certified Data Engineer - Associate, Databricks Certified Data Engineer Associate/Professional Cloud architecture / DevOps experience or knowledge.