Data Engineer 1

Freedman HealthCare

9d • $80,353 - $96,424 • Onsite

About The Position

The Data Engineer I plays a crucial role in extracting, analyzing, and interpreting complex data sets to drive informed decisions to improve healthcare quality, affordability, and equity. You will be responsible for designing, developing, and maintaining data pipelines, databases, and analytical frameworks. You will collaborate with cross-functional teams, including health policy experts, analysts, and healthcare stakeholders, to identify and address data-related challenges and opportunities.

Requirements

• 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
• Strong proficiency in data analysis and data visualization using tools such as SQL, Python, R, Excel, or similar
• Proficiency in data profiling, manipulation, and transformation using tools like Pandas, SQL, or similar
• Experience with 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

Nice To Haves

• Bachelor's or Master’s degree in healthcare administration, data science, statistics, or equivalent work experience preferred
• 2+ years of experience as a data analyst in the healthcare industry, preferably in claims

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

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Associate degree