Remote
Principal Data Engineer (remote)
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![]() United States | |
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At Claritev, 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 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!!! JOB SUMMARY: Incumbent uses data and technology to transform processes and products. This role requires strong data infrastructure, data architecture, and operational skills, as well as project leadership and communication skills to facilitate cross-functional collaboration to deliver stellar products.
JOB ROLES AND RESPONSIBILITIES:
1.) Manage and delegate tasks as appropriate to a team of data engineers 2.) Ensure proper execution of team duties and alignment with business vision and objectives 3.) Understand business processes and how they are modeled in various systems 4.) Lead partnerships with business users, technology teams, and executives to understand their data needs to create innovative solutions to fulfil them 5.) Design, organize, and implement data structures, workflows, and integrations between enterprise platforms to ensure the accurate and timely execution of business processes. 6.) Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity. 7.) Guiding decisions and establishing best practices on data integration/engineering, as well as the future of our data infrastructure 8.) Managing and improving the performance of our database, queries, tools, and solutions 9.) Creating and maintaining data warehouse, databases, tables, SQL queries, and ingestion pipelines to power reports(Tableau), dashboards, predictive models, and downstream analysis 10.) Writing complex and efficient queries to transform raw data sources into easily accessible models for our teams and reporting platforms 11.) Prepare data for predictive and prescriptive modeling 12.) Identify and analyze data patterns 13.) Identify ways to improve data reliability, efficiency and quality 14.) Lead partnership 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 15.) Document high and low level technical design 16.) Select, develop, and evaluate staff to ensure the efficient operation of department. 17.) Collaborate, coordinate, and communicate across disciplines and departments. 18.) Ensure compliance with HIPAA regulations and requirements. 19.) Demonstrate Company's Core Competencies and values held within. 20.) Please note due to the exposure of PHI sensitive data -- this role is considered to be a High Risk and priveleged role. 21.) The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary. JOB SCOPE: The incumbent works independently and relies on judgment and experience to complete job responsibilities. The incumbent possesses an extensive range of knowledge of practices and procedures within the field and acts a resource for less experienced team members. Work is varied and complex. |