ClinDCast
Sr. Data Engineer/Data Architect
ClinDCast, Dallas, Texas, United States, 75215
Responsibilities:
Collaborate with IT SMEs and business stakeholders for requirements gathering.Prepare technical design documents and coordinate with offshore development teams.Design, build, and deploy efficient data pipelines; optimize and maintain existing ones.Implement data quality checks and ensure high data integrity.Develop scalable data warehouses and data products.Enhance data movement frameworks with a focus on automation.Utilize expert-level SQL skills and engage in data modeling.Apply CI/CD pipeline, DevOps practices, and Agile methodologies.
Skills and Experience:
Proficiency in Azure Services, DataBricks, and Python.Advanced SQL skills and experience with Snowflake.8 years in Data Engineering; 4 years with Azure Services.Familiarity with Jira, GitLab, data modeling, data analysis, and test automation.
Compensation: $60.00 per hour
Empowering the Future of Healthcare
The healthcare Industry is on the brink of a paradigm shift where patients are increasingly being viewed as empowered consumers, utilizing digital technologies to better understand and manage their own health. As a result, there is a growing demand for a range of patient-centric services, including personalized care that is tailored to each individual's unique needs, health equity that ensures access to care for all, price transparency to make healthcare more affordable, streamlined prior authorizations for medications, the availability of therapeutic alternatives, health literacy to promote informed decision-making, reduced costs, and many other initiatives designed to improve the patient experience.
ClinDCast is at the forefront of shaping the future of healthcare by partnering with globally recognized healthcare organizations and offering them innovative solutions and expert guidance. Our suite of services is designed to cater to a broad range of needs of healthcare organizations, including healthcare IT innovation, electronic health record (EHR) implementation & optimizations, data conversion, regulatory and quality reporting, enterprise data analytics, FHIR interoperability strategy, payer-to-payer data exchange, and application programming interface (API) strategy.
Collaborate with IT SMEs and business stakeholders for requirements gathering.Prepare technical design documents and coordinate with offshore development teams.Design, build, and deploy efficient data pipelines; optimize and maintain existing ones.Implement data quality checks and ensure high data integrity.Develop scalable data warehouses and data products.Enhance data movement frameworks with a focus on automation.Utilize expert-level SQL skills and engage in data modeling.Apply CI/CD pipeline, DevOps practices, and Agile methodologies.
Skills and Experience:
Proficiency in Azure Services, DataBricks, and Python.Advanced SQL skills and experience with Snowflake.8 years in Data Engineering; 4 years with Azure Services.Familiarity with Jira, GitLab, data modeling, data analysis, and test automation.
Compensation: $60.00 per hour
Empowering the Future of Healthcare
The healthcare Industry is on the brink of a paradigm shift where patients are increasingly being viewed as empowered consumers, utilizing digital technologies to better understand and manage their own health. As a result, there is a growing demand for a range of patient-centric services, including personalized care that is tailored to each individual's unique needs, health equity that ensures access to care for all, price transparency to make healthcare more affordable, streamlined prior authorizations for medications, the availability of therapeutic alternatives, health literacy to promote informed decision-making, reduced costs, and many other initiatives designed to improve the patient experience.
ClinDCast is at the forefront of shaping the future of healthcare by partnering with globally recognized healthcare organizations and offering them innovative solutions and expert guidance. Our suite of services is designed to cater to a broad range of needs of healthcare organizations, including healthcare IT innovation, electronic health record (EHR) implementation & optimizations, data conversion, regulatory and quality reporting, enterprise data analytics, FHIR interoperability strategy, payer-to-payer data exchange, and application programming interface (API) strategy.