Experience with complex systems and solving challenging analytical problems Strong collaboration and communication skills within and across teams Knowledge of data visualization and reporting Experience in designing and building data engineering solutions in cloud environments (preferably GCP) Experience with Git, CI/CD pipeline, and other DevOps principles/best practices Experience with bash shell scripts, UNIX utilities & UNIX Commands Understanding of software development methodologies including waterfall and agile Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources Knowledge of API development Experience with schema design and dimensional data modeling Google Professional Data Engineer Certification Knowledge of microservices and SOA Formal SAFe and/or agile experience Previous healthcare experience and domain knowledge Experience designing, building, and maintaining data processing systems Architecting and building data warehouse and data lakes Education Bachelor's Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required Master's Degree preferred. Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.