Responsible for enhancing, maintaining, and refactoring the existing code for a large-scale data processing pipeline used for many disparate sources of provider and other healthcare data sets. Reconcile new sources of provider and related healthcare data and identify source data inconsistencies. Design and implement new product features using these sources of healthcare data. Analyze and improve the performance of very complex SQL database queries and improve the quality of the overall data feed by designing and developing a sophisticated pipeline of data validations to track and confirm data transformations. Use machine learning algorithms to identify similarities between providers data sent in many disparate sources and cluster similar providers together. . Education Required: Bachelor's or foreign equivalent in Computer Science, Computer Engineering, or related field. Experience: 6 years of progressive experience in job offered or related occupation.. Special Requirements: Must have at least 1 year of prior work experience in each of the following: 1. Enhance, maintain, and refactor code for a large-scale data processing pipeline handling diverse provider and healthcare datasets. 2. Migrate a substantial code base to use an efficient MPP database, improving data processing speed. 3. Python and SQL, migrating a substantial code base to use an efficient MPP database, improving data processing speed. 4. Distributed databases including Greenplum/Bigquery and NoSQL databases like MongoDB. 5. Writing optimized queries to process large volumes of data. 6. Data pipeline orchestration tools including Airflow, Jenkins. 7. Working on cloud platforms including Google Cloud Platform . 8. Machine Learning algorithms specifically related to data classification and clustering and infrastructure automation tools including Kubernetes, Docker, Terraform. Telecommuting allowed for this position Salary: $164,757 -- $178,968.00 per year **Applicant Instructions: **Email resume to: immigration@mosaichealth.com. Must specify job code 79986 in reply. EOE.