Note: The job is a remote job and is open to candidates in USA. Freedman HealthCare LLC is a healthcare consulting firm that helps organizations use data to improve care quality, affordability, and equity. The Data Engineer II designs, develops, and maintains data pipelines, databases, and analytical frameworks while analyzing healthcare data and collaborating with policy experts, analysts, and healthcare stakeholders to support informed decision-making.
Responsibilities
- 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 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
Skills
- • 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
- • 5+ years of experience in SQL
- • 5+ years of experience as a data analyst in the healthcare industry
- • Bachelor's or Master's degree in healthcare administration, data science, statistics, or equivalent work experience preferred
- • 5+ years of experience as a data analyst in the healthcare industry, preferably in claims
Benefits
- Remote work arrangement
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