Job TitleClient: Optum Location: Remote Duration: Long-termJob ResponsibilitiesAnalyze data, assemble large, complex data sets that meet business requirements identifying opportunities for improvement, facilitate communication and testing solutions.Uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from noisy, structured and unstructured data, and apply knowledge and actionable insights from data.Unify statistics, data analysis, informatics, and their related methods in order to “understand and analyze actual phenomena" with data.Build and/or maintain analytics tools that utilize the data pipeline to provide actionable insights into operational efficiency and other key business performance metricsSupport the technical teams to design, develop, test and implement cost-effective strategies for assimilating and reporting of dataIdentify risks and form contingency plans as soon as possibleAnalyze existing operations and schedule training sessions and meetings to discuss improvementsSupport the testing and auditing team members to ensure quality checks involved in reporting of sensitive data.Support the following processes which includes Quality Checks and technical trouble shooting and data management using Spark, SQL/python as needed.Job QualificationBachelors with 5 years experience or Master’s degree with 3 years of experience in Computer Science, Engineering, or Math, or equivalent experience5+ years of experience as a Data Engineer3+ Experience with Data Analytics and ReportingWorking SQL and No-SQL knowledge and experience working with a variety of databases (MySQL, NoSQL, Hadoop, MongoDB, etc.)Experience with Spark, or the Hadoop ecosystem and similar frameworks is a plus.