Skills Required: This position requires experience with the following: utilizing Big Data technology including Apache Spark to process and analyze datasets across SQL and NoSQL databases; developing scalable data pipelines and data matching solutions on AWS and Databricks in Python; using AWS services including S3, EMR, Step Functions, Lambda, RDS, and API Gateway for scripting and automation with continuous deployment and integration via Terraform and CloudFormation; leveraging application, data, and infrastructure architecture disciplines to optimize data intensive applications for performance and scalability; employing Agile development techniques including Scrum and Test Driven Development (TDD). QUALIFICATIONS: Minimum education and experience required: Master's degree in Computer Engineering, Computer Science, or related field of study plus three (3) years of experience in the job offered or as Software Engineer, Clinical Data Manager, Data Analyst, Software Developer, or related occupation.