Data Engineer II

Designs and maintains healthcare data pipelines, ETL workflows, databases, schemas, and analytical frameworks. Analyzes claims and related healthcare data to identify trends and insights, while ensuring data quality and integrity. Creates reports, dashboards, and visualizations for nontechnical stakeholders. Collaborates with healthcare policy experts, analysts, and stakeholders to translate requirements into data solutions and improve infrastructure, processes, and analytics capabilities., The Data Engineer II 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., * 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 non-technical 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

• 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

Education and Experience Requirements :

• 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

Physical Requirements:

• Prolonged periods sitting at a desk and working on a computer

Freedman HealthCare LLC (FHC) is a growing Massachusetts-based consulting firm with a national footprint. We have helped more than 30 states build and use healthcare data to improve care quality, affordability, and equity. We aim to be the partner of choice for policymakers and changemakers who use data to transform healthcare and promote health, wellbeing, and justice. Freedman HealthCare is an entrepreneurial, fast-paced, and growing consultancy with a culture of teamwork, open communication, and meeting exacting standards., 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.