Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $90.4k - $108.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 6%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Freedman HealthCare LLC

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2005

🏥 Healthcare

⚕️ Healthcare Insurance

📋 Compliance

Healthcare • Healthcare Insurance • Compliance

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.

📋 Description

• Develop and maintain data pipelines, ETL processes, and workflows to collect, clean, and transform data from various sources into usable formats • Ensure data integrity, quality, and accuracy throughout the data processing lifecycle • 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 nontechnical stakeholders • Design, develop, and maintain databases, data models, and schemas for efficient storage and retrieval of data • Collaborate with cross-functional teams, including health policy experts, analysts, and healthcare stakeholders, 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

🎯 Requirements

• Deep knowledge of health data, multi-payer databases, public healthcare payers, claims processing, and claims data analytics • Knowledge of US healthcare policy, trends, and factors such as eligibility, utilization, cost, and equity • Knowledge of state government role in healthcare • Expertise in data analysis and data visualization using tools such as SQL, Python, R, Excel, or similar • Expertise in data profiling, manipulation, and transformation using tools like Pandas, SQL, or similar • Mastery of data visualization tools like Tableau or Power BI • Familiarity with data modeling, database management, and cloud-based data solutions (e.g., AWS, Azure, Google Cloud) • Solid understanding of statistical analysis, data mining, and machine learning concepts • 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 • Bachelor's or Master’s degree in healthcare administration, data science, statistics, or equivalent work experience preferred • 5+ years of experience in SQL • 5+ years of experience as a data analyst in the healthcare industry, preferably in claims • Prolonged periods sitting at a desk and working on a computer