Location: New York,NY, USA
At MultiPlan, we pride ourselves on being a dynamic team of innovative professionals. Our purpose is simple - we strive to bend the cost curve in healthcare for all. Our dedication to service excellence extends to all of our stakeholders – internal and external - driving us to consistently exceed expectations. We are intentionally bold, we foster innovation, we nurture accountability, we champion diversity, and empower each other to illuminate our collective potential.
Be part of our amazing transformational journey as we optimize the opportunity towards becoming a leading technology, data, and innovation voice in healthcare. Onward and upward!!!
This role will be part of the team responsible for developing and deploying Engineering and Integration solutions. Primary responsibility will be to work closely with the Data Architects and Machine Learning Team to implement data solutions for the organization using Python, Java, Kafka and other big data solutions, creating technical specification documents and test plans. Also provide support for the data solutions across the enterprise.
JOB ROLES AND RESPONSIBILITIES:
1.) Understand business processes and how they are modeled in various systems 2.) Work with business users, technology teams, and executives to understand their data needs to create innovative solutions to fulfil them 3.) Design, organize, and implement data structures, workflows, and integrations between enterprise platforms to ensure the accurate and timely execution of business processes. 4.) Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity. 5.) Guiding decisions and establishing best practices on data integration/engineering, as well as the future of our data infrastructure 6.) Managing and improving the performance of our database, queries, tools, and solutions 7.) Creating and maintaining data warehouse, databases, tables, SQL queries, and ingestion pipelines to power reports(Tableau), dashboards, predictive models, and downstream analysis 8.) Writing complex and efficient queries to transform raw data sources into easily accessible models for our teams and reporting platforms 9.) Prepare data for predictive and prescriptive modeling 10.) Identify and analyze data patterns 11.) Identify ways to improve data reliability, efficiency and quality 12.) Work with analytics, data science, and wider engineering teams to help with automating data analysis and visualization needs, advise on transformation processes to populate data models, and explore ways to design and develop data infrastructure 13.) Document high and low level technical design 14.) Draw performance reports and strategic proposals from analyses results for senior data science leadership 15.) Collaborate, coordinate, and communicate across disciplines and departments. 16.) Ensure compliance with HIPAA regulations and requirements. 17.) Demonstrate Company's Core Competencies and values held within. 18.) Please note due to the exposure of PHI sensitive data -- this role is considered to be a High Risk and privileged role.