Healthcare Data Engineer, RCM

Remitz is a forward-thinking company dedicated to revolutionizing the Revenue Cycle Management Industry, worth $250 billion. Specializing in medical billing software, we leverage AI and advanced technology to streamline medical insurance claims. Our solutions are designed to enhance efficiency, accuracy, and compliance in medical billing, ultimately enabling healthcare providers to optimize financial operations. Join our team of professionals committed to leveraging technology for a significant impact in the healthcare sector.As a Healthcare Data Engineer at Remitz, your primary responsibility is to design, develop, and optimize data solutions tailored to Revenue Cycle Management (RCM). By utilizing your expertise in healthcare data standards and technologies, you will oversee healthcare data integrations, maintain data quality, and support analytical processes. Your role is pivotal in facilitating effective data management and reporting to improve the efficiency and accuracy of our RCM operations.Your key responsibilities include:- Designing, developing, and maintaining data integration solutions using EDI, HL7, CCDA, and FHIR to support RCM processes and enhance data interoperability- Developing and optimizing data pipelines and workflows to ensure accurate and efficient data processing and reporting- Analyzing and resolving data-related issues to maintain data quality, consistency, and accuracy across RCM systems- Collaborating with cross-functional teams, such as data scientists, analysts, and IT specialists, to facilitate data-driven decision-making and insights- Monitoring and optimizing database performance to ensure scalability and reliability of data solutions- Staying informed about industry trends, emerging technologies, and regulatory requirements in healthcare data and RCMMandatory Skills:- Proficiency in English- Strong proven experience in SQL- Strong proven experience in Python- Experience with Revenue Cycle Management (RCM) processes- Experience with Spark- Experience with Tableau- Expertise in working with EDI, HL7, CCDA, and FHIR file types- Effective communication and collaboration skills to work across teams and with stakeholders- Knowledge of healthcare data standards, interoperability, and regulatory requirementsPreferred Qualifications:- Bachelor's degree in Computer Science, Data Engineering, Healthcare Informatics, or related field- Minimum of 3 years of professional experience as a data engineer, focusing on healthcare data and/or Revenue Cycle Management,
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Data Visualization, Data Warehousing, AWS, Azure, GCP, HIPAA, HL7, CMS, Revenue Cycle Management, Medical Coding, ICD, CPT, DRG, Predictive Modeling, Stakeholder Management,pandas, ETL pipelines, FHIR, MedicareMedicaid reporting, NCQA, HEDIS, Risk Adjustment Models, Healthcare CostUtilization Analytics
Data Analytics Intern (SQL)
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+11 Data Interpretation, Data Manipulation, Analytical Skills, Communication Skills, Python, R,Trend Identification, Dashboard Development, Report Communication, ProblemSolving Skills, Visualization Tools
Data Visualization, Data Warehousing, AWS, Azure, GCP, HIPAA, HL7, CMS, Revenue Cycle Management, Medical Coding, ICD, CPT, DRG, Predictive Modeling, Stakeholder Management,pandas, ETL pipelines, FHIR, MedicareMedicaid reporting, NCQA, HEDIS, Risk Adjustment Models, Healthcare CostUtilization Analytics
Data Analytics Intern (SQL)
Cactus Communications Services Pte. Ltd.
0 to 4 Yrs
All India
SQL
Data Analysis
+11 Data Interpretation, Data Manipulation, Analytical Skills, Communication Skills, Python, R,Trend Identification, Dashboard Development, Report Communication, ProblemSolving Skills, Visualization Tools
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