Data Engineer 2

• 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

• The job description provided above is a general outline and may be subject to modifications based on specific organizational requirements.

Freedman HealthCare, LLC is an Equal Opportunity Employer.

All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

We strongly encourage applications and inquiries from women, LGBTQIA+ identified persons, Black, Indigenous, People of Color, people with disabilities, and others from historically underrepresented communities.

We believe that embracing diversity in our workplace is essential to achieving the best results for our clients and as an organization.