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Stitch and normalize sparse and noisy data across various data sources. Undertake the preprocessing of structured and unstructured data Design, develop, test, implement, and support technical solutions in full-stack development tools and technologies. Work with a team of developers with deep experience in machine learning, distributed microservices, and full-stack systems Utilize programming languages like Python, Java, and Open Source RDBMS and cloud-based data warehousing services such as Aurora or Big Query Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with engineering and product development teams Deliver on timeline commitments where necessary Build trust and strong relationships at all levels Preferred B.S. in Computer Science, Electrical Engineering, Mathematics, Statistics, Physics, or similar quantitative fields/work experience. Experience with cloud environments 7+ years of experience in application or data warehousing development 7+ years of experience in at least one scripting language (Python, Perl, JavaScript, Shell) 4+ years of experience working on streaming data applications 5+ years of experience with Agile engineering practices 5+ years of experience developing Java-based software solutions, scripting and OOP languages 5+ years of experience with UNIX/Linux, including basic commands and shell scripting 4+ years of experience with GCP 4+ years of experience with Ansible / Terraform 3+ years in the healthcare industry and knowledge of their business practices. Desirable Qualities: Strike a balance between critical thinking and actual hands-on analyses. Have a keen interest in learning data science while bringing engineering rigor to the team. Research mindset- the ability to structure a project from idea to experimentation to prototype to implementation. Be a driven and focused self-starter, great communicator, with exceptional follow-through. You aggressively tackle work and love the responsibility of being individually empowered. Be resolute to overcome challenges that will inevitably arise. Qualifications & Experience Required Must have designed, developed, and supported a complex software solution. Proficient in SQL. Proficient in dimensional/multidimensional data modeling. Experience with graph, transactional, and operational data modeling is a plus. Familiarity with all stages of the product development cycle. Experience maintaining engineering best practices, including defect tracking, design reviews, and appropriate testing. Hold strong organizational and problem-solving skills. Take a pragmatic, product-oriented approach. Possess the ability to work cross-functionally with minimal supervision.