Job Url: https://www.remoterocketship.com/company/freedmanhealthcare/jobs/senior-data-engineer-united-states-remote

Job Description: 
Freedman HealthCare LLC
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Freedman HealthCare LLC is a company that specializes in leveraging health data to improve care and efficiency in healthcare delivery. They offer actionable data solutions, including technical expertise and project management, to all-payer claims databases and regional health improvement collaboratives across the United States. 

Their services include integrating new data sources for performance improvement, public reporting, and payment reform, as well as engaging health care entities through comprehensive partnerships to generate significant impacts. They are also involved in providing insights on telehealth, cost savings analysis, and ensuring compliance with healthcare regulations regarding price transparency. 

Healthcare • Health Reform • Performance Measurement • All Payer Claims Database • Accountable Care Organizations


11 - 50 employees


Founded 2005

⚕️ Healthcare Insurance

📋 Compliance

Senior Data Engineer
July 3

🇺🇸 United States – Remote

💵 $96.8k - $118.6k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

AWS

Azure

Cloud

ETL

Pandas

Python

SQL

Tableau

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📋 Description
• Analyze and interpret healthcare claims data and related data sets to identify patterns, trends, and insights
• Generate reports, dashboards, and visualizations to communicate findings effectively to non-technical stakeholders
• Lead cross-functional teams to understand business requirements and translate them into data solutions
• Stay up to date with emerging technologies, industry trends, and best practices in data analysis, engineering, and visualization
• Identify opportunities to improve data infrastructure, processes, and analytics capabilities
• Support development of lightweight data pipelines and ensure data is ready for analysis (as needed)
• Ensure data integrity, quality, and accuracy throughout the data processing lifecycle
• Design, develop, and maintain databases, data models, and schemas for efficient storage and retrieval of data for use in your analysis of healthcare
• Oversee development and maintenance of ad hoc lightweight data pipelines, ETL processes, and workflows to collect, clean, and transform data from various sources into usable formats

🎯 Requirements
• Deep knowledge of health data, multi-payer databases, public healthcare payers, claims processing, health care financial, and/or claims data analytics
• Deep knowledge of US healthcare policy, trends, and factors such as eligibility, utilization , cost, and equity
• Deep knowledge of state government role in healthcare
• Expertise in data analysis and data visualization using tools such as SQL, Python, R, Excel, or similar, and the ability to mentor others
• Expertise in data profiling, manipulation, and transformation using tools like Pandas, SQL, SAS or similar
• Mastery of data visualization tools like Tableau or Power BI
• Intermediate to expert level experience with data modeling, database management, and cloud-based data solutions (e.g., AWS, Azure, Google Cloud)
• Experience using statistical and/or fiscal analysis to describe and make inferences about healthcare related topics.
• Excellent problem-solving, critical thinking, and analytical skills, with a keen attention to detail
• Strong communication and collaboration abilities, with the capacity to present complex findings in a clear and concise manner

Apply Now
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